🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 73 (from laksa047)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa073.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
  -d 'SELECT getAhrefsURLFromUnparsed(src_unparsed) AS found_url, ifNull(toUnixTimestamp(download_stamp), 0) AS crawl_time, ifNull(toUnixTimestamp(props_url_first_seen), 0) AS first_indexed_time, download_http_code AS http_code, src_unparsed AS src_unparsed, src_root_hash AS src_root_hash, history_drop_reason AS history_drop_reason, meta_title AS meta_title, meta_descriptions AS meta_descriptions, attrs_boilerpipe_text AS attrs_boilerpipe_text, attrs_markdown AS attrs_markdown, attrs_readable_markdown AS attrs_readable_markdown, meta_canonical AS meta_canonical FROM crawler3.page_info_local FINAL PREWHERE (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://www.filehorse.com/download-anaconda/\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.filehorse.com/download-anaconda/\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/www.filehorse.com\/download-anaconda\/","crawl_time":1775563092,"first_indexed_time":1566386004,"http_code":200,"src_unparsed":"com,filehorse!www,\/download-anaconda\/ s443","src_root_hash":"3800264880861730873","history_drop_reason":null,"meta_title":"Anaconda - Download for Windows - FileHorse","meta_descriptions":["Download Anaconda for Windows PC - Safe and Secure from FileHorse. The World`s Most Popular Python\/R Data Science Platform for Windows PC!."],"attrs_boilerpipe_text":"Latest Version\nAnaconda 3 2025.12.1\nLATEST\nReview by\nDaniel Leblanc\nOperating System\nWindows 7 64 \/ Windows 8 64 \/ Windows 10 64 \/ Windows 11\nUser Rating\nClick to vote\nAuthor \/ Product\nAnaconda, Inc.\n\/\nExternal Link\nFilename\nAnaconda3-2025.12-1-Windows-x86_64.exe\nThe open-source \nAnaconda\n(formerly\nAnaconda Distribution\n) is the\neasiest way to perform Python\/R data science\nand machine learning on Linux, Windows, and macOS.\nWith over 15 million users worldwide, it is the\nindustry standard for developing, testing, and training\non a single machine, enabling individual data scientists to:\nQuickly download 1,500+\nPython\n\/R data science packages\nManage libraries, dependencies, and environments with Conda\nDevelop and train machine learning and deep learning models with sci-kit-learn, TensorFlow, and Theano\nAnalyze data with scalability and performance with Dask, NumPy, pandas, and Numba\nVisualize results with Matplotlib, Bokeh, Datashader, and Holoviews\nAnaconda Distribution\nis a comprehensive and open-source platform that simplifies package management and deployment for data science and machine learning projects.\nDeveloped and maintained by Anaconda Inc., this distribution is designed to provide a powerful and flexible environment for Python and\nR programming\n.\nIt comes pre-packaged with a wide range of libraries, tools, and packages, making it an ideal choice for anyone working in fields such as data analysis, machine learning, scientific computing, and more.\nDirectly from the platform and without involving DevOps, data scientists can develop and deploy AI and machine learning models rapidly into production.\nAnaconda Python\nprovides the tools needed to easily:\nCollect data from files, databases, and data lakes\nManage environments with Conda (all package dependencies are taken care of at the time of download)\nShare, collaborate on, and reproduce projects\nDeploy projects into production with a single click of a button\nA Versatile Open-Source Package and Environment Manager\nConda\nstands as an open-source system for managing packages and environments, compatible with Windows, macOS, and Linux operating systems.\nThis versatile tool offers swift installation, execution, and updates for packages and their associated dependencies. Moreover,\nConda\nprovides effortless capabilities for generating, storing, loading, and transitioning between various environments on your local machine.\nOriginally designed for Python projects, it can also package and distribute software for a multitude of programming languages.\nKey Features\nConda Package Manager\n: Anaconda's Conda package manager simplifies package installation, dependency management, and version control. It allows users to create isolated environments for different projects, ensuring that dependencies do not clash.\nRich Library Ecosystem\n: The distribution comes with over 1,500 data science packages, including popular ones like\nNumPy\n, Pandas, SciPy, Matplotlib, and scikit-learn. This vast library ecosystem reduces the need for manual installations.\nJupyter Notebook Integration\n: It seamlessly integrates with Jupyter Notebook, providing an interactive and visually appealing environment for code development, data exploration, and documentation.\nIDE Integration\n: It can be integrated with popular integrated\ndevelopment\nenvironments (IDEs) like Visual Studio Code, PyCharm, and JupyterLab, enhancing the development experience.\nData Visualization Tools\n: It includes tools for data visualization, such as Seaborn and Bokeh, making it easier to create informative charts and graphs.\nMachine Learning Frameworks\n: It supports popular machine learning frameworks like TensorFlow, Keras, and PyTorch, enabling users to build and train complex models effortlessly.\nCloud Integration\n: Users can seamlessly deploy their projects to cloud platforms like AWS, Microsoft Azure, and Google Cloud using Anaconda Cloud or Anaconda Enterprise.\nUser Interface\nIt primarily relies on command-line interaction for package management and environment setup. However, it offers user-friendly graphical interfaces for some tasks, such as\nAnaconda Navigator\n.\nAnaconda Navigator is a desktop graphical user interface that allows users to manage packages, environments, and projects with ease. While the command-line interface provides more control, Anaconda Navigator simplifies common tasks, making it accessible to users with varying levels of expertise.\nInstallation and Setup\nVisit the official website or FileHorse and download the installer suitable for your operating system (Windows, macOS, or Linux).\nFollow the installation instructions, which typically involve accepting the license agreement, selecting the installation location, and adding the app to your system's PATH.\nOnce installed, open\nAnaconda Navigator\n(if you prefer a graphical interface) or use the command-line interface to create and manage environments, install packages, and run Jupyter notebooks.\nHow to Use\nCreate Environments\n: Use the conda create command to create isolated environments for your projects. This helps avoid conflicts between packages and dependencies.\nActivate Environments\n: Activate an environment using conda activate environment_name to work within a specific project's environment.\nInstall Packages\n: Use conda install package_name to install packages. It will automatically handle dependencies.\nLaunch Jupyter Notebook\n: Launch Jupyter Notebook by running Jupyter Notebook in your activated environment. You can then create and run Python notebooks for your projects.\nExplore Documentation\n: It offers extensive documentation and tutorials on its website, which can help you get started with data science and machine learning tasks.\nFAQs\nIs Anaconda FREE?\nYes, the program is FREE and open-source. However, Anaconda Inc. also offers a paid version called Anaconda Enterprise, which provides additional features and support.\nCan I use Anaconda Distribution with languages other than Python and R?\nWhile the app is primarily known for Python and R, you can use it with other programming languages by creating separate environments for those languages.\nHow do I update packages in Anaconda?\nYou can update packages using the conda update package_name command. To update all packages in an environment, use conda update --all.\nDoes Anaconda support GPU acceleration for deep learning?\nYes, it supports GPU acceleration for deep learning frameworks like TensorFlow and PyTorch. You'll need to install the GPU versions of these libraries.\nCan I share my Anaconda environments with others?\nYes, you can export your environment specifications to a YAML file using conda env export > environment.yml. Others can then recreate the environment using this file with conda env create -f environment.yml.\nWhat’s New\n - Anaconda Distribution 2025.12 (latest version)\nUpdated Conda version: Ships with conda 25.11.0, including enhancements and bug fixes.\nPython builds: Includes metapackages built for Python 3.10, 3.11, 3.12, and 3.13; note that Python 3.9 reached end-of-life in October 2025.\nAnaconda Navigator 2.7.0:\nAdded support for Python 3.13.\nNavigator no longer automatically inserts the default channel.\nMigrated the application framework to Qt6.\nDropped support for macOS x86_64 (osx-64) — only Apple Silicon (arm64) and Windows\/Linux builds are maintained.\nBoth Qt5 and Qt6 are included: Qt6 supports Navigator 2.7.0 and most GUIs, while Qt5 remains for compatibility with older packages (e.g., Spyder 6.1.0), with this duplication planned to be removed in future releases.\nAmazon Linux 2 compatibility note: Packages built after September 2025 require glibc 2.28 or later, so older Amazon Linux 2 systems are not supported.\nPricing\nThe app itself is\nFREE\n. However, Anaconda Inc. offers commercial products and services, such as\nAnaconda Enterprise\n, which is a paid platform designed for enterprise-level data science and machine learning operations.\nAnaconda Distribution is\nfree for individual users\n,\nstudents\n, and\norganizations with fewer than 200 employees\nand less than $1 million USD in annual revenue.\nPricing for Anaconda Enterprise varies based on the scale and specific needs of your organization, so you should contact Anaconda Inc. directly for a quote.\nPRO PLAN - $25 \n\/month\n(per user)\nPractitioners building Python applications\n10GB for cloud-hosted notebooks\nUser access controls\nEnhanced support\nBUSINESS PLAN - $75\n\/month\n(per user)\nTeams with advanced security requirements\nOpen-source software supply chain security tools\nCurated vulnerability data\nAudit logs\nPROS\nComprehensive package management with Conda.\nRich library ecosystem for data science.\nEasy environment isolation.\nSeamless integration with Jupyter Notebook.\nSupport for popular machine learning frameworks.\nCloud deployment options.\nActive community and extensive documentation.\nCONS\nLarge installation size.\nGraphical interface can be slow at times.\nSome users may find the command-line interface intimidating.\nConclusion\nIt remains a powerhouse in the world of data science and machine learning\n. Its vast library ecosystem, robust package management, and seamless integration with Jupyter Notebook make it a top choice for both beginners and experts.\nWhile the installation size might be a drawback for those with limited disk space, the benefits far outweigh this minor inconvenience.\nWhether you're a data scientist, machine learning engineer, or just a\nPython\nenthusiast,\nAnaconda is a must-have tool for creating and managing your data science projects\n. With a supportive community and extensive documentation, you'll find the resources you need to excel in your data-driven endeavors.\nAlso Available:\nDownload Anaconda for Mac\nWhy is this app published on FileHorse? (\nMore info\n)\nAnaconda 3 2025.12.1 Screenshots\nThe images below have been resized. Click on them to view the screenshots in full size.","attrs_markdown":"- [![](https:\/\/static.filehorse.com\/img\/m-windows.svg)Windows](https:\/\/www.filehorse.com\/)\n- [![](https:\/\/static.filehorse.com\/img\/m-mac.svg)Mac](https:\/\/mac.filehorse.com\/)\n- ![](https:\/\/static.filehorse.com\/img\/m-planet.svg)[Español](https:\/\/www.filehorse.com\/es\/download-anaconda\/)\n- ![](https:\/\/static.filehorse.com\/img\/m-search.svg)\n\n- [EN](https:\/\/www.filehorse.com\/download-anaconda\/ \"English\")\n  - [ES](https:\/\/www.filehorse.com\/es\/download-anaconda\/ \"Español\")\n\n## The World\\`s Most Popular Python\/R Data Science Platform for Windows PC\\!\n![Anaconda](https:\/\/static.filehorse.com\/icons\/developer-tools\/anaconda-icon-top.png)\n\n- [Home](https:\/\/www.filehorse.com\/)\n- [Developer Tools](https:\/\/www.filehorse.com\/software-developer-tools\/)\n- Anaconda 3 2025.12.1\n\n[Report](https:\/\/www.filehorse.com\/download-anaconda\/#jsm-report)\n\n[Share](https:\/\/www.filehorse.com\/download-anaconda\/#jsm-share)\n\n### Browse by Company\n[Adobe](https:\/\/www.filehorse.com\/search?q=adobe), [Apowersoft](https:\/\/www.filehorse.com\/search?q=apowersoft), [Ashampoo](https:\/\/www.filehorse.com\/search?q=ashampoo), [Autodesk](https:\/\/www.filehorse.com\/search?q=autodesk), [Avast](https:\/\/www.filehorse.com\/search?q=avast), [Corel](https:\/\/www.filehorse.com\/search?q=corel), [Cyberlink](https:\/\/www.filehorse.com\/search?q=cyberlink), [Google](https:\/\/www.filehorse.com\/search?q=google), [iMyFone](https:\/\/www.filehorse.com\/search?q=imyfone), [iTop](https:\/\/www.filehorse.com\/search?q=itop), [Movavi](https:\/\/www.filehorse.com\/search?q=movavi), [PassFab](https:\/\/www.filehorse.com\/search?q=passfab), [Passper](https:\/\/www.filehorse.com\/search?q=passper), [Stardock](https:\/\/www.filehorse.com\/search?q=stardock), [Tenorshare](https:\/\/www.filehorse.com\/search?q=tenorshare), [Wargaming](https:\/\/www.filehorse.com\/search?q=wargaming), [Wondershare](https:\/\/www.filehorse.com\/search?q=wondershare)\n\n[Free Download](https:\/\/www.filehorse.com\/download-anaconda\/download\/)\n\n[Safe & Secure](https:\/\/www.filehorse.com\/download-anaconda\/#jsm-ss)\n\n### Sponsored\n### Recommended\n- [![](https:\/\/static.filehorse.com\/icons\/developer-tools\/adobe-dreamweaver-icon-32.png) Dreamweaver](https:\/\/www.filehorse.com\/download-adobe-dreamweaver\/)\n- [![](https:\/\/static.filehorse.com\/icons\/developer-tools\/adobe-portfolio-icon-32.png) Portfolio](https:\/\/www.filehorse.com\/download-adobe-portfolio\/)\n- [![](https:\/\/static.filehorse.com\/icons\/developer-tools\/dbforge-studio-mysql-icon-32.png) dbForge Studio](https:\/\/www.filehorse.com\/download-dbforge-studio-mysql\/)\n- [![](https:\/\/static.filehorse.com\/icons\/developer-tools\/microsoft-sql-server-2019-icon-32.png) SQL Server](https:\/\/www.filehorse.com\/download-microsoft-sql-server\/)\n- [![](https:\/\/static.filehorse.com\/icons\/developer-tools\/google-antigravity-icon-32.png) Antigravity](https:\/\/www.filehorse.com\/download-google-antigravity\/)\n- [![](https:\/\/static.filehorse.com\/icons\/developer-tools\/instapage-icon-32.png) Instapage](https:\/\/www.filehorse.com\/download-instapage\/)\n- [![](https:\/\/static.filehorse.com\/icons\/developer-tools\/microsoft-access-icon-32.png) Access](https:\/\/www.filehorse.com\/download-microsoft-access\/)\n- [![](https:\/\/static.filehorse.com\/icons\/developer-tools\/10web-icon-32.png) 10Web](https:\/\/www.filehorse.com\/download-10web\/)\n\n[View More »](https:\/\/www.filehorse.com\/software-developer-tools\/)\n\n![](https:\/\/static.filehorse.com\/icons\/developer-tools\/anaconda-icon-32.png)\n\n# [Anaconda](https:\/\/www.filehorse.com\/download-anaconda\/)\nFebruary, 12th 2026\n\n\\- 1.1 GB - Open Source\n\n[Free Download](https:\/\/www.filehorse.com\/download-anaconda\/download\/)\n\n[Safe & Secure](https:\/\/www.filehorse.com\/download-anaconda\/#jsm-ss)\n\n- [Review](https:\/\/www.filehorse.com\/download-anaconda\/#review)\n- [Screenshots](https:\/\/www.filehorse.com\/download-anaconda\/#screenshots)\n- [Old Versions](https:\/\/www.filehorse.com\/download-anaconda\/old-versions\/)\n\n- Latest Version\n  Anaconda 3 2025.12.1 LATEST\n- Review by\n  [Daniel Leblanc](https:\/\/www.filehorse.com\/editor\/daniel-leblanc\/)\n- Operating System\n  Windows 7 64 \/ Windows 8 64 \/ Windows 10 64 \/ Windows 11\n- User Rating\n  Click to vote\n- Author \/ Product\n  [Anaconda, Inc.](https:\/\/www.anaconda.com\/) \/ [External Link](https:\/\/www.anaconda.com\/download)\n- Filename\n  Anaconda3-2025.12-1-Windows-x86\\_64.exe\n\nThe open-source **Anaconda** (formerly **Anaconda Distribution**) is the **easiest way to perform Python\/R data science** and machine learning on Linux, Windows, and macOS.  \n  \nWith over 15 million users worldwide, it is the **industry standard for developing, testing, and training** on a single machine, enabling individual data scientists to:\n\n- **Quickly download 1,500+ [Python](https:\/\/www.filehorse.com\/download-python-64\/)\/R data science packages**\n- **Manage libraries, dependencies, and environments with Conda**\n- **Develop and train machine learning and deep learning models with sci-kit-learn, TensorFlow, and Theano**\n- **Analyze data with scalability and performance with Dask, NumPy, pandas, and Numba**\n- **Visualize results with Matplotlib, Bokeh, Datashader, and Holoviews**\n\n**Anaconda Distribution** is a comprehensive and open-source platform that simplifies package management and deployment for data science and machine learning projects.  \n  \nDeveloped and maintained by Anaconda Inc., this distribution is designed to provide a powerful and flexible environment for Python and [**R programming**](https:\/\/www.filehorse.com\/download-r-for-windows\/).  \n  \nIt comes pre-packaged with a wide range of libraries, tools, and packages, making it an ideal choice for anyone working in fields such as data analysis, machine learning, scientific computing, and more.  \n  \nDirectly from the platform and without involving DevOps, data scientists can develop and deploy AI and machine learning models rapidly into production.  \n  \n**Anaconda Python** provides the tools needed to easily:\n\n- **Collect data from files, databases, and data lakes**\n- **Manage environments with Conda (all package dependencies are taken care of at the time of download)**\n- **Share, collaborate on, and reproduce projects**\n- **Deploy projects into production with a single click of a button**\n\n**A Versatile Open-Source Package and Environment Manager**  \n  \n**Conda** stands as an open-source system for managing packages and environments, compatible with Windows, macOS, and Linux operating systems.   \n  \nThis versatile tool offers swift installation, execution, and updates for packages and their associated dependencies. Moreover, **Conda** provides effortless capabilities for generating, storing, loading, and transitioning between various environments on your local machine.  \n  \nOriginally designed for Python projects, it can also package and distribute software for a multitude of programming languages.  \n  \n**Key Features**  \n  \n**Conda Package Manager**: Anaconda's Conda package manager simplifies package installation, dependency management, and version control. It allows users to create isolated environments for different projects, ensuring that dependencies do not clash.  \n  \n**Rich Library Ecosystem**: The distribution comes with over 1,500 data science packages, including popular ones like [**NumPy**](https:\/\/www.filehorse.com\/download-numpy\/), Pandas, SciPy, Matplotlib, and scikit-learn. This vast library ecosystem reduces the need for manual installations.  \n  \n**Jupyter Notebook Integration**: It seamlessly integrates with Jupyter Notebook, providing an interactive and visually appealing environment for code development, data exploration, and documentation.  \n  \n**IDE Integration**: It can be integrated with popular integrated [**development**](https:\/\/www.filehorse.com\/software-developer-tools\/) environments (IDEs) like Visual Studio Code, PyCharm, and JupyterLab, enhancing the development experience.  \n  \n**Data Visualization Tools**: It includes tools for data visualization, such as Seaborn and Bokeh, making it easier to create informative charts and graphs.  \n  \n**Machine Learning Frameworks**: It supports popular machine learning frameworks like TensorFlow, Keras, and PyTorch, enabling users to build and train complex models effortlessly.  \n  \n**Cloud Integration**: Users can seamlessly deploy their projects to cloud platforms like AWS, Microsoft Azure, and Google Cloud using Anaconda Cloud or Anaconda Enterprise.  \n  \n**User Interface**  \n  \nIt primarily relies on command-line interaction for package management and environment setup. However, it offers user-friendly graphical interfaces for some tasks, such as **Anaconda Navigator**.   \n  \nAnaconda Navigator is a desktop graphical user interface that allows users to manage packages, environments, and projects with ease. While the command-line interface provides more control, Anaconda Navigator simplifies common tasks, making it accessible to users with varying levels of expertise.  \n  \n**Installation and Setup**  \n  \nVisit the official website or FileHorse and download the installer suitable for your operating system (Windows, macOS, or Linux).  \n  \nFollow the installation instructions, which typically involve accepting the license agreement, selecting the installation location, and adding the app to your system's PATH.  \n  \nOnce installed, open **Anaconda Navigator** (if you prefer a graphical interface) or use the command-line interface to create and manage environments, install packages, and run Jupyter notebooks.  \n  \n**How to Use**  \n  \n**Create Environments**: Use the conda create command to create isolated environments for your projects. This helps avoid conflicts between packages and dependencies.  \n  \n**Activate Environments**: Activate an environment using conda activate environment\\_name to work within a specific project's environment.  \n  \n**Install Packages**: Use conda install package\\_name to install packages. It will automatically handle dependencies.  \n  \n**Launch Jupyter Notebook**: Launch Jupyter Notebook by running Jupyter Notebook in your activated environment. You can then create and run Python notebooks for your projects.  \n  \n**Explore Documentation**: It offers extensive documentation and tutorials on its website, which can help you get started with data science and machine learning tasks.  \n  \n**FAQs**  \n  \n**Is Anaconda FREE?**  \nYes, the program is FREE and open-source. However, Anaconda Inc. also offers a paid version called Anaconda Enterprise, which provides additional features and support.  \n  \n**Can I use Anaconda Distribution with languages other than Python and R?**  \nWhile the app is primarily known for Python and R, you can use it with other programming languages by creating separate environments for those languages.  \n  \n**How do I update packages in Anaconda?**  \nYou can update packages using the conda update package\\_name command. To update all packages in an environment, use conda update --all.  \n  \n**Does Anaconda support GPU acceleration for deep learning?**  \nYes, it supports GPU acceleration for deep learning frameworks like TensorFlow and PyTorch. You'll need to install the GPU versions of these libraries.  \n  \n**Can I share my Anaconda environments with others?**  \nYes, you can export your environment specifications to a YAML file using conda env export \\> environment.yml. Others can then recreate the environment using this file with conda env create -f environment.yml.  \n  \n**What’s New** - Anaconda Distribution 2025.12 (latest version)\n\n- Updated Conda version: Ships with conda 25.11.0, including enhancements and bug fixes.\n- Python builds: Includes metapackages built for Python 3.10, 3.11, 3.12, and 3.13; note that Python 3.9 reached end-of-life in October 2025.\n- Anaconda Navigator 2.7.0:\n- Added support for Python 3.13.\n- Navigator no longer automatically inserts the default channel.\n- Migrated the application framework to Qt6.\n- Dropped support for macOS x86\\_64 (osx-64) — only Apple Silicon (arm64) and Windows\/Linux builds are maintained.\n- Both Qt5 and Qt6 are included: Qt6 supports Navigator 2.7.0 and most GUIs, while Qt5 remains for compatibility with older packages (e.g., Spyder 6.1.0), with this duplication planned to be removed in future releases.\n- Amazon Linux 2 compatibility note: Packages built after September 2025 require glibc 2.28 or later, so older Amazon Linux 2 systems are not supported.\n\n**Pricing**  \n  \nThe app itself is **FREE**. However, Anaconda Inc. offers commercial products and services, such as **Anaconda Enterprise**, which is a paid platform designed for enterprise-level data science and machine learning operations.  \n  \nAnaconda Distribution is **free for individual users**, **students**, and **organizations with fewer than 200 employees** and less than \\$1 million USD in annual revenue.  \n  \nPricing for Anaconda Enterprise varies based on the scale and specific needs of your organization, so you should contact Anaconda Inc. directly for a quote.  \n  \n**PRO PLAN - \\$25** \/month **(per user)**  \nPractitioners building Python applications\n\n- 10GB for cloud-hosted notebooks\n- User access controls\n- Enhanced support\n\n**BUSINESS PLAN - \\$75** \/month **(per user)**  \nTeams with advanced security requirements\n\n- Open-source software supply chain security tools\n- Curated vulnerability data\n- Audit logs\n\n**PROS**\n\n- Comprehensive package management with Conda.\n- Rich library ecosystem for data science.\n- Easy environment isolation.\n- Seamless integration with Jupyter Notebook.\n- Support for popular machine learning frameworks.\n- Cloud deployment options.\n- Active community and extensive documentation.\n\n**CONS**\n\n- Large installation size.\n- Graphical interface can be slow at times.\n- Some users may find the command-line interface intimidating.\n\n**Conclusion**  \n  \n**It remains a powerhouse in the world of data science and machine learning**. Its vast library ecosystem, robust package management, and seamless integration with Jupyter Notebook make it a top choice for both beginners and experts.  \n  \nWhile the installation size might be a drawback for those with limited disk space, the benefits far outweigh this minor inconvenience.  \n  \nWhether you're a data scientist, machine learning engineer, or just a [**Python**](https:\/\/www.filehorse.com\/search?q=python) enthusiast, **Anaconda is a must-have tool for creating and managing your data science projects**. With a supportive community and extensive documentation, you'll find the resources you need to excel in your data-driven endeavors.  \n  \n**Also Available: [Download Anaconda for Mac](https:\/\/mac.filehorse.com\/download-anaconda\/)**\n\n[Download Anaconda Latest Version](https:\/\/www.filehorse.com\/download-anaconda\/download\/ \"Download Anaconda 3 2025.12.1 for Free\")\n\nWhy is this app published on FileHorse? ([**More info**](https:\/\/www.filehorse.com\/download-anaconda\/#jsm-why))\n\n- ### Anaconda 3 2025.12.1 Screenshots\n  The images below have been resized. Click on them to view the screenshots in full size.\n  [![Anaconda 3 2025.12.1 Screenshot 1](https:\/\/static.filehorse.com\/screenshots\/developer-tools\/anaconda-screenshot-01.png)](https:\/\/static.filehorse.com\/screenshots\/developer-tools\/anaconda-screenshot-01.png)\n- [![Anaconda 3 2025.12.1 Screenshot 2](https:\/\/static.filehorse.com\/screenshots\/developer-tools\/anaconda-screenshot-02.png)](https:\/\/static.filehorse.com\/screenshots\/developer-tools\/anaconda-screenshot-02.png)\n\n## [Screenshots](https:\/\/www.filehorse.com\/download-anaconda\/#screenshots)\n- [![Anaconda 3 2025.12.1 Screenshot 1](https:\/\/static.filehorse.com\/screenshots\/developer-tools\/anaconda-screenshot-01t.png)](https:\/\/static.filehorse.com\/screenshots\/developer-tools\/anaconda-screenshot-01.png)\n- [![Anaconda 3 2025.12.1 Screenshot 2](https:\/\/static.filehorse.com\/screenshots\/developer-tools\/anaconda-screenshot-02t.png)](https:\/\/static.filehorse.com\/screenshots\/developer-tools\/anaconda-screenshot-02.png)\n\n## [Top Downloads](https:\/\/www.filehorse.com\/popular\/)\n- [![](https:\/\/static.filehorse.com\/icons\/browsers-and-plugins\/opera-icon-32.png)OperaOpera 129.0 Build 5823.65 (64-bit)](https:\/\/www.filehorse.com\/download-opera-64\/)\n- [![](https:\/\/static.filehorse.com\/icons\/video-software\/kling-ai-icon-32.png)Kling AIKling AI - Text or Image to Video](https:\/\/www.filehorse.com\/download-kling-ai\/)\n- [![](https:\/\/static.filehorse.com\/icons\/photo-and-design\/adobe-photoshop-icon-32.png)PhotoshopAdobe Photoshop CC 2026 27.5 (64-bit)](https:\/\/www.filehorse.com\/download-adobe-photoshop-64\/)\n- [![](https:\/\/static.filehorse.com\/icons\/games\/bluestacks-icon-32.png)BlueStacksBlueStacks 10.42.167.1001](https:\/\/www.filehorse.com\/download-bluestacks\/)\n- [![](https:\/\/static.filehorse.com\/icons\/office-and-business-tools\/okx-icon-32.png)OKXOKX - Buy Bitcoin or Ethereum](https:\/\/www.filehorse.com\/download-okx\/)\n- [![](https:\/\/static.filehorse.com\/icons\/video-software\/capcut-icon-32.png)CapCutCapCut 7.9.0](https:\/\/www.filehorse.com\/download-capcut\/)\n- [![](https:\/\/static.filehorse.com\/icons\/system-tuning\/pc-repair-icon-32.png)PC RepairPC Repair Tool 2026](https:\/\/www.filehorse.com\/download-pc-repair\/)\n- [![](https:\/\/static.filehorse.com\/icons\/games\/hero-wars-icon-32.png)Hero WarsHero Wars - Online Action Game](https:\/\/www.filehorse.com\/download-hero-wars\/)\n- [![](https:\/\/static.filehorse.com\/icons\/office-and-business-tools\/tradingview-icon-32.png)TradingViewTradingView - Trusted by 100 Million Traders](https:\/\/www.filehorse.com\/download-tradingview\/)\n- [![](https:\/\/static.filehorse.com\/icons\/vpn\/adguard-vpn-icon-32.png)AdGuard VPNAdGuard VPN 2.9.0](https:\/\/www.filehorse.com\/download-adguard-vpn\/)\n\n[More Popular Software »](https:\/\/www.filehorse.com\/popular\/)\n## [Comments and User Reviews](https:\/\/www.filehorse.com\/download-anaconda\/#comments)\n\nShare Anaconda\n\n[Click here to close](https:\/\/www.filehorse.com\/download-anaconda\/)\n\nLicense Types\n\nEach software is released under license type that can be found on program pages as well as on search or category pages. Here are the most common license types:\n\n### Freeware\nFreeware programs **can be downloaded used free of charge and without any time limitations**. Freeware products can be used free of charge for both personal and professional (commercial use).\n\n### Open Source\nOpen Source software is software with source code that anyone can inspect, modify or enhance. Programs released under this license can be used at no cost for both personal and commercial purposes. There are many different open source licenses but they all must comply with the Open Source Definition - in brief: the **software can be freely used, modified and shared**.\n\n### Free to Play\nThis license is commonly used for video games and it **allows users to download and play the game for free**. Basically, a product is offered Free to Play (Freemium) and the user can decide if he wants to pay the money (Premium) for additional features, services, virtual or physical goods that expand the functionality of the game. In some cases, ads may be show to the users.\n\n### Demo\nDemo programs have a **limited functionality** for free, but charge for an advanced set of features or for the removal of advertisements from the program's interfaces. In some cases, all the functionality is disabled until the license is purchased. Demos are usually not time-limited (like Trial software) but the functionality is limited.\n\n### Trial\nTrial software allows the user to evaluate the software for a **limited amount of time**. After that trial period (usually 15 to 90 days) the user can decide whether to buy the software or not. Even though, most trial software products are only time-limited some also have feature limitations.\n\n### Paid\nUsually commercial software or games are produced for sale or to serve a **commercial purpose**.\n\n[Click here to close](https:\/\/www.filehorse.com\/download-anaconda\/)\n\nSecurity Status\n\nTo make sure **your data and your privacy are safe, we at FileHorse check all software installation files** each time a new one is uploaded to our servers or linked to remote server. Based on the checks we perform the software is categorized as follows:\n\n### Safe\nThis file has been scanned with VirusTotal using more than **70 different antivirus software products** and no threats have been detected. It's very likely that this software is **clean and safe** for use.\n\n### Suspicious\nThere are some reports that this software is **potentially malicious** or may install other **unwanted bundled software**. These could be false positives and our users are advised to **be careful while installing** this software.\n\n### Disabled\nThis software is **no longer available for the download**. This could be due to the program being **discontinued**, having a **security issue** or for other reasons.\n\n[Click here to close](https:\/\/www.filehorse.com\/download-anaconda\/)\n\nWhy is this App published on FileHorse?\n\nFileHorse is not just a **software download portal**, but also a big **knowledge base** for apps and games. Apart from keeping all information about thousands of already listed products **up-to-date** we also constantly look for new ones that we could list on our website.\n\nOnce an interesting app or game is found our editor will **test it to get a better understanding** of its features, possibilities and limitations.\n\n**Safety is a very important factor** for us so each product's installation file is also checked against malware using **VirusTotal** and **Google Safe Browsing**. Based on the **overall experience** the editor will then write a review.\n\nBefore publishing it on FileHorse, the editor also will **try to contact the developer** of the product. In case when we are not able to get in touch with the developer for a reasonable time - we'll proceed with publishing the listing.\n\nIf you are a game or software developer and you want to submit your product to us - please refer to our [**Submit Program**](https:\/\/www.filehorse.com\/submit\/) page.\n\nFor all other inquiries please contact us using our [**Contact**](https:\/\/www.filehorse.com\/contact\/) page.\n\n[Click here to close](https:\/\/www.filehorse.com\/download-anaconda\/)\n\nReport Anaconda 3 2025.12.1\n\n**Thank you\\!** Your report has been sent to us and we will review your request and take appropriate action as soon as possible.\n\nPlease note that you will not receive any notification about any action taken as a result of this report. We apologize for any inconvenience this may cause.\n\nTo close this window [**click here**](https:\/\/www.filehorse.com\/download-anaconda\/).\n\n[Click here to close](https:\/\/www.filehorse.com\/download-anaconda\/)\n\n- [![Filehorse Youtube](https:\/\/static.filehorse.com\/img\/icon-youtube.png)](https:\/\/www.youtube.com\/user\/FileHorsecom)\n- [![Filehorse Twitter](https:\/\/static.filehorse.com\/img\/icon-x.png)](https:\/\/twitter.com\/filehorse)\n- [![Filehorse RSS Feed](https:\/\/static.filehorse.com\/img\/icon-rss.png)](https:\/\/feeds2.feedburner.com\/filehorse_com)\n\n- [Home](https:\/\/www.filehorse.com\/)\n- [About Us](https:\/\/www.filehorse.com\/about\/)\n- [Submit Program](https:\/\/www.filehorse.com\/submit\/)\n- [Terms](https:\/\/www.filehorse.com\/terms\/)\n- [Privacy](https:\/\/www.filehorse.com\/privacy\/)\n- [DMCA](https:\/\/www.filehorse.com\/dmca\/)\n- [Software Policy](https:\/\/www.filehorse.com\/software-policy\/)\n- [Cookie Policy](https:\/\/www.filehorse.com\/cookie-policy\/)\n- [Uninstall](https:\/\/www.filehorse.com\/uninstall\/)\n- [Contact](https:\/\/www.filehorse.com\/contact\/)\n\nCopyright © 2009-2026 Full Stack Technology FZCO. All rights reserved.","attrs_readable_markdown":"- Latest Version\n  Anaconda 3 2025.12.1 LATEST\n- Review by\n  [Daniel Leblanc](https:\/\/www.filehorse.com\/editor\/daniel-leblanc\/)\n- Operating System\n  Windows 7 64 \/ Windows 8 64 \/ Windows 10 64 \/ Windows 11\n- User Rating\n  Click to vote\n- Author \/ Product\n  [Anaconda, Inc.](https:\/\/www.anaconda.com\/) \/ [External Link](https:\/\/www.anaconda.com\/download)\n- Filename\n  Anaconda3-2025.12-1-Windows-x86\\_64.exe\n\nThe open-source **Anaconda** (formerly **Anaconda Distribution**) is the **easiest way to perform Python\/R data science** and machine learning on Linux, Windows, and macOS.\n\nWith over 15 million users worldwide, it is the **industry standard for developing, testing, and training** on a single machine, enabling individual data scientists to:\n\n- **Quickly download 1,500+ [Python](https:\/\/www.filehorse.com\/download-python-64\/)\/R data science packages**\n- **Manage libraries, dependencies, and environments with Conda**\n- **Develop and train machine learning and deep learning models with sci-kit-learn, TensorFlow, and Theano**\n- **Analyze data with scalability and performance with Dask, NumPy, pandas, and Numba**\n- **Visualize results with Matplotlib, Bokeh, Datashader, and Holoviews**\n\n**Anaconda Distribution** is a comprehensive and open-source platform that simplifies package management and deployment for data science and machine learning projects.\n\nDeveloped and maintained by Anaconda Inc., this distribution is designed to provide a powerful and flexible environment for Python and [**R programming**](https:\/\/www.filehorse.com\/download-r-for-windows\/).\n\nIt comes pre-packaged with a wide range of libraries, tools, and packages, making it an ideal choice for anyone working in fields such as data analysis, machine learning, scientific computing, and more.\n\nDirectly from the platform and without involving DevOps, data scientists can develop and deploy AI and machine learning models rapidly into production.\n\n**Anaconda Python** provides the tools needed to easily:\n\n- **Collect data from files, databases, and data lakes**\n- **Manage environments with Conda (all package dependencies are taken care of at the time of download)**\n- **Share, collaborate on, and reproduce projects**\n- **Deploy projects into production with a single click of a button**\n\n**A Versatile Open-Source Package and Environment Manager**\n\n**Conda** stands as an open-source system for managing packages and environments, compatible with Windows, macOS, and Linux operating systems.\n\nThis versatile tool offers swift installation, execution, and updates for packages and their associated dependencies. Moreover, **Conda** provides effortless capabilities for generating, storing, loading, and transitioning between various environments on your local machine.\n\nOriginally designed for Python projects, it can also package and distribute software for a multitude of programming languages.\n\n**Key Features**\n\n**Conda Package Manager**: Anaconda's Conda package manager simplifies package installation, dependency management, and version control. It allows users to create isolated environments for different projects, ensuring that dependencies do not clash.\n\n**Rich Library Ecosystem**: The distribution comes with over 1,500 data science packages, including popular ones like [**NumPy**](https:\/\/www.filehorse.com\/download-numpy\/), Pandas, SciPy, Matplotlib, and scikit-learn. This vast library ecosystem reduces the need for manual installations.\n\n**Jupyter Notebook Integration**: It seamlessly integrates with Jupyter Notebook, providing an interactive and visually appealing environment for code development, data exploration, and documentation.\n\n**IDE Integration**: It can be integrated with popular integrated [**development**](https:\/\/www.filehorse.com\/software-developer-tools\/) environments (IDEs) like Visual Studio Code, PyCharm, and JupyterLab, enhancing the development experience.\n\n**Data Visualization Tools**: It includes tools for data visualization, such as Seaborn and Bokeh, making it easier to create informative charts and graphs.\n\n**Machine Learning Frameworks**: It supports popular machine learning frameworks like TensorFlow, Keras, and PyTorch, enabling users to build and train complex models effortlessly.\n\n**Cloud Integration**: Users can seamlessly deploy their projects to cloud platforms like AWS, Microsoft Azure, and Google Cloud using Anaconda Cloud or Anaconda Enterprise.\n\n**User Interface**\n\nIt primarily relies on command-line interaction for package management and environment setup. However, it offers user-friendly graphical interfaces for some tasks, such as **Anaconda Navigator**.\n\nAnaconda Navigator is a desktop graphical user interface that allows users to manage packages, environments, and projects with ease. While the command-line interface provides more control, Anaconda Navigator simplifies common tasks, making it accessible to users with varying levels of expertise.\n\n**Installation and Setup**\n\nVisit the official website or FileHorse and download the installer suitable for your operating system (Windows, macOS, or Linux).\n\nFollow the installation instructions, which typically involve accepting the license agreement, selecting the installation location, and adding the app to your system's PATH.\n\nOnce installed, open **Anaconda Navigator** (if you prefer a graphical interface) or use the command-line interface to create and manage environments, install packages, and run Jupyter notebooks.\n\n**How to Use**\n\n**Create Environments**: Use the conda create command to create isolated environments for your projects. This helps avoid conflicts between packages and dependencies.\n\n**Activate Environments**: Activate an environment using conda activate environment\\_name to work within a specific project's environment.\n\n**Install Packages**: Use conda install package\\_name to install packages. It will automatically handle dependencies.\n\n**Launch Jupyter Notebook**: Launch Jupyter Notebook by running Jupyter Notebook in your activated environment. You can then create and run Python notebooks for your projects.\n\n**Explore Documentation**: It offers extensive documentation and tutorials on its website, which can help you get started with data science and machine learning tasks.\n\n**FAQs**\n\n**Is Anaconda FREE?**  \nYes, the program is FREE and open-source. However, Anaconda Inc. also offers a paid version called Anaconda Enterprise, which provides additional features and support.\n\n**Can I use Anaconda Distribution with languages other than Python and R?**  \nWhile the app is primarily known for Python and R, you can use it with other programming languages by creating separate environments for those languages.\n\n**How do I update packages in Anaconda?**  \nYou can update packages using the conda update package\\_name command. To update all packages in an environment, use conda update --all.\n\n**Does Anaconda support GPU acceleration for deep learning?**  \nYes, it supports GPU acceleration for deep learning frameworks like TensorFlow and PyTorch. You'll need to install the GPU versions of these libraries.\n\n**Can I share my Anaconda environments with others?**  \nYes, you can export your environment specifications to a YAML file using conda env export \\> environment.yml. Others can then recreate the environment using this file with conda env create -f environment.yml.\n\n**What’s New** - Anaconda Distribution 2025.12 (latest version)\n\n- Updated Conda version: Ships with conda 25.11.0, including enhancements and bug fixes.\n- Python builds: Includes metapackages built for Python 3.10, 3.11, 3.12, and 3.13; note that Python 3.9 reached end-of-life in October 2025.\n- Anaconda Navigator 2.7.0:\n- Added support for Python 3.13.\n- Navigator no longer automatically inserts the default channel.\n- Migrated the application framework to Qt6.\n- Dropped support for macOS x86\\_64 (osx-64) — only Apple Silicon (arm64) and Windows\/Linux builds are maintained.\n- Both Qt5 and Qt6 are included: Qt6 supports Navigator 2.7.0 and most GUIs, while Qt5 remains for compatibility with older packages (e.g., Spyder 6.1.0), with this duplication planned to be removed in future releases.\n- Amazon Linux 2 compatibility note: Packages built after September 2025 require glibc 2.28 or later, so older Amazon Linux 2 systems are not supported.\n\n**Pricing**\n\nThe app itself is **FREE**. However, Anaconda Inc. offers commercial products and services, such as **Anaconda Enterprise**, which is a paid platform designed for enterprise-level data science and machine learning operations.\n\nAnaconda Distribution is **free for individual users**, **students**, and **organizations with fewer than 200 employees** and less than \\$1 million USD in annual revenue.\n\nPricing for Anaconda Enterprise varies based on the scale and specific needs of your organization, so you should contact Anaconda Inc. directly for a quote.\n\n**PRO PLAN - \\$25** \/month **(per user)**  \nPractitioners building Python applications\n\n- 10GB for cloud-hosted notebooks\n- User access controls\n- Enhanced support\n\n**BUSINESS PLAN - \\$75** \/month **(per user)**  \nTeams with advanced security requirements\n\n- Open-source software supply chain security tools\n- Curated vulnerability data\n- Audit logs\n\n**PROS**\n\n- Comprehensive package management with Conda.\n- Rich library ecosystem for data science.\n- Easy environment isolation.\n- Seamless integration with Jupyter Notebook.\n- Support for popular machine learning frameworks.\n- Cloud deployment options.\n- Active community and extensive documentation.\n\n**CONS**\n\n- Large installation size.\n- Graphical interface can be slow at times.\n- Some users may find the command-line interface intimidating.\n\n**Conclusion**\n\n**It remains a powerhouse in the world of data science and machine learning**. Its vast library ecosystem, robust package management, and seamless integration with Jupyter Notebook make it a top choice for both beginners and experts.\n\nWhile the installation size might be a drawback for those with limited disk space, the benefits far outweigh this minor inconvenience.\n\nWhether you're a data scientist, machine learning engineer, or just a [**Python**](https:\/\/www.filehorse.com\/search?q=python) enthusiast, **Anaconda is a must-have tool for creating and managing your data science projects**. With a supportive community and extensive documentation, you'll find the resources you need to excel in your data-driven endeavors.\n\n**Also Available: [Download Anaconda for Mac](https:\/\/mac.filehorse.com\/download-anaconda\/)**\n\nWhy is this app published on FileHorse? ([**More info**](https:\/\/www.filehorse.com\/download-anaconda\/#jsm-why))\n\n- ### Anaconda 3 2025.12.1 Screenshots\n  The images below have been resized. Click on them to view the screenshots in full size.\n  [![Anaconda 3 2025.12.1 Screenshot 1](https:\/\/static.filehorse.com\/screenshots\/developer-tools\/anaconda-screenshot-01.png)](https:\/\/static.filehorse.com\/screenshots\/developer-tools\/anaconda-screenshot-01.png)\n- [![Anaconda 3 2025.12.1 Screenshot 2](https:\/\/static.filehorse.com\/screenshots\/developer-tools\/anaconda-screenshot-02.png)](https:\/\/static.filehorse.com\/screenshots\/developer-tools\/anaconda-screenshot-02.png)","meta_canonical":null}

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Boilerpipe Text	Latest Version Anaconda 3 2025.12.1 LATEST Review by Daniel Leblanc Operating System Windows 7 64 / Windows 8 64 / Windows 10 64 / Windows 11 User Rating Click to vote Author / Product Anaconda, Inc. / External Link Filename Anaconda3-2025.12-1-Windows-x86_64.exe The open-source Anaconda (formerly Anaconda Distribution ) is the easiest way to perform Python/R data science and machine learning on Linux, Windows, and macOS. With over 15 million users worldwide, it is the industry standard for developing, testing, and training on a single machine, enabling individual data scientists to: Quickly download 1,500+ Python /R data science packages Manage libraries, dependencies, and environments with Conda Develop and train machine learning and deep learning models with sci-kit-learn, TensorFlow, and Theano Analyze data with scalability and performance with Dask, NumPy, pandas, and Numba Visualize results with Matplotlib, Bokeh, Datashader, and Holoviews Anaconda Distribution is a comprehensive and open-source platform that simplifies package management and deployment for data science and machine learning projects. Developed and maintained by Anaconda Inc., this distribution is designed to provide a powerful and flexible environment for Python and R programming . It comes pre-packaged with a wide range of libraries, tools, and packages, making it an ideal choice for anyone working in fields such as data analysis, machine learning, scientific computing, and more. Directly from the platform and without involving DevOps, data scientists can develop and deploy AI and machine learning models rapidly into production. Anaconda Python provides the tools needed to easily: Collect data from files, databases, and data lakes Manage environments with Conda (all package dependencies are taken care of at the time of download) Share, collaborate on, and reproduce projects Deploy projects into production with a single click of a button A Versatile Open-Source Package and Environment Manager Conda stands as an open-source system for managing packages and environments, compatible with Windows, macOS, and Linux operating systems. This versatile tool offers swift installation, execution, and updates for packages and their associated dependencies. Moreover, Conda provides effortless capabilities for generating, storing, loading, and transitioning between various environments on your local machine. Originally designed for Python projects, it can also package and distribute software for a multitude of programming languages. Key Features Conda Package Manager : Anaconda's Conda package manager simplifies package installation, dependency management, and version control. It allows users to create isolated environments for different projects, ensuring that dependencies do not clash. Rich Library Ecosystem : The distribution comes with over 1,500 data science packages, including popular ones like NumPy , Pandas, SciPy, Matplotlib, and scikit-learn. This vast library ecosystem reduces the need for manual installations. Jupyter Notebook Integration : It seamlessly integrates with Jupyter Notebook, providing an interactive and visually appealing environment for code development, data exploration, and documentation. IDE Integration : It can be integrated with popular integrated development environments (IDEs) like Visual Studio Code, PyCharm, and JupyterLab, enhancing the development experience. Data Visualization Tools : It includes tools for data visualization, such as Seaborn and Bokeh, making it easier to create informative charts and graphs. Machine Learning Frameworks : It supports popular machine learning frameworks like TensorFlow, Keras, and PyTorch, enabling users to build and train complex models effortlessly. Cloud Integration : Users can seamlessly deploy their projects to cloud platforms like AWS, Microsoft Azure, and Google Cloud using Anaconda Cloud or Anaconda Enterprise. User Interface It primarily relies on command-line interaction for package management and environment setup. However, it offers user-friendly graphical interfaces for some tasks, such as Anaconda Navigator . Anaconda Navigator is a desktop graphical user interface that allows users to manage packages, environments, and projects with ease. While the command-line interface provides more control, Anaconda Navigator simplifies common tasks, making it accessible to users with varying levels of expertise. Installation and Setup Visit the official website or FileHorse and download the installer suitable for your operating system (Windows, macOS, or Linux). Follow the installation instructions, which typically involve accepting the license agreement, selecting the installation location, and adding the app to your system's PATH. Once installed, open Anaconda Navigator (if you prefer a graphical interface) or use the command-line interface to create and manage environments, install packages, and run Jupyter notebooks. How to Use Create Environments : Use the conda create command to create isolated environments for your projects. This helps avoid conflicts between packages and dependencies. Activate Environments : Activate an environment using conda activate environment_name to work within a specific project's environment. Install Packages : Use conda install package_name to install packages. It will automatically handle dependencies. Launch Jupyter Notebook : Launch Jupyter Notebook by running Jupyter Notebook in your activated environment. You can then create and run Python notebooks for your projects. Explore Documentation : It offers extensive documentation and tutorials on its website, which can help you get started with data science and machine learning tasks. FAQs Is Anaconda FREE? Yes, the program is FREE and open-source. However, Anaconda Inc. also offers a paid version called Anaconda Enterprise, which provides additional features and support. Can I use Anaconda Distribution with languages other than Python and R? While the app is primarily known for Python and R, you can use it with other programming languages by creating separate environments for those languages. How do I update packages in Anaconda? You can update packages using the conda update package_name command. To update all packages in an environment, use conda update --all. Does Anaconda support GPU acceleration for deep learning? Yes, it supports GPU acceleration for deep learning frameworks like TensorFlow and PyTorch. You'll need to install the GPU versions of these libraries. Can I share my Anaconda environments with others? Yes, you can export your environment specifications to a YAML file using conda env export > environment.yml. Others can then recreate the environment using this file with conda env create -f environment.yml. What’s New - Anaconda Distribution 2025.12 (latest version) Updated Conda version: Ships with conda 25.11.0, including enhancements and bug fixes. Python builds: Includes metapackages built for Python 3.10, 3.11, 3.12, and 3.13; note that Python 3.9 reached end-of-life in October 2025. Anaconda Navigator 2.7.0: Added support for Python 3.13. Navigator no longer automatically inserts the default channel. Migrated the application framework to Qt6. Dropped support for macOS x86_64 (osx-64) — only Apple Silicon (arm64) and Windows/Linux builds are maintained. Both Qt5 and Qt6 are included: Qt6 supports Navigator 2.7.0 and most GUIs, while Qt5 remains for compatibility with older packages (e.g., Spyder 6.1.0), with this duplication planned to be removed in future releases. Amazon Linux 2 compatibility note: Packages built after September 2025 require glibc 2.28 or later, so older Amazon Linux 2 systems are not supported. Pricing The app itself is FREE . However, Anaconda Inc. offers commercial products and services, such as Anaconda Enterprise , which is a paid platform designed for enterprise-level data science and machine learning operations. Anaconda Distribution is free for individual users , students , and organizations with fewer than 200 employees and less than $1 million USD in annual revenue. Pricing for Anaconda Enterprise varies based on the scale and specific needs of your organization, so you should contact Anaconda Inc. directly for a quote. PRO PLAN - $25 /month (per user) Practitioners building Python applications 10GB for cloud-hosted notebooks User access controls Enhanced support BUSINESS PLAN - $75 /month (per user) Teams with advanced security requirements Open-source software supply chain security tools Curated vulnerability data Audit logs PROS Comprehensive package management with Conda. Rich library ecosystem for data science. Easy environment isolation. Seamless integration with Jupyter Notebook. Support for popular machine learning frameworks. Cloud deployment options. Active community and extensive documentation. CONS Large installation size. Graphical interface can be slow at times. Some users may find the command-line interface intimidating. Conclusion It remains a powerhouse in the world of data science and machine learning . Its vast library ecosystem, robust package management, and seamless integration with Jupyter Notebook make it a top choice for both beginners and experts. While the installation size might be a drawback for those with limited disk space, the benefits far outweigh this minor inconvenience. Whether you're a data scientist, machine learning engineer, or just a Python enthusiast, Anaconda is a must-have tool for creating and managing your data science projects . With a supportive community and extensive documentation, you'll find the resources you need to excel in your data-driven endeavors. Also Available: Download Anaconda for Mac Why is this app published on FileHorse? ( More info ) Anaconda 3 2025.12.1 Screenshots The images below have been resized. Click on them to view the screenshots in full size.
Markdown	- [![](https://static.filehorse.com/img/m-windows.svg)Windows](https://www.filehorse.com/) - [![](https://static.filehorse.com/img/m-mac.svg)Mac](https://mac.filehorse.com/) - ![](https://static.filehorse.com/img/m-planet.svg)[Español](https://www.filehorse.com/es/download-anaconda/) - ![](https://static.filehorse.com/img/m-search.svg) - [EN](https://www.filehorse.com/download-anaconda/ "English") - [ES](https://www.filehorse.com/es/download-anaconda/ "Español") ## The World\`s Most Popular Python/R Data Science Platform for Windows PC\! ![Anaconda](https://static.filehorse.com/icons/developer-tools/anaconda-icon-top.png) - [Home](https://www.filehorse.com/) - [Developer Tools](https://www.filehorse.com/software-developer-tools/) - Anaconda 3 2025.12.1 [Report](https://www.filehorse.com/download-anaconda/#jsm-report) [Share](https://www.filehorse.com/download-anaconda/#jsm-share) ### Browse by Company [Adobe](https://www.filehorse.com/search?q=adobe), [Apowersoft](https://www.filehorse.com/search?q=apowersoft), [Ashampoo](https://www.filehorse.com/search?q=ashampoo), [Autodesk](https://www.filehorse.com/search?q=autodesk), [Avast](https://www.filehorse.com/search?q=avast), [Corel](https://www.filehorse.com/search?q=corel), [Cyberlink](https://www.filehorse.com/search?q=cyberlink), [Google](https://www.filehorse.com/search?q=google), [iMyFone](https://www.filehorse.com/search?q=imyfone), [iTop](https://www.filehorse.com/search?q=itop), [Movavi](https://www.filehorse.com/search?q=movavi), [PassFab](https://www.filehorse.com/search?q=passfab), [Passper](https://www.filehorse.com/search?q=passper), [Stardock](https://www.filehorse.com/search?q=stardock), [Tenorshare](https://www.filehorse.com/search?q=tenorshare), [Wargaming](https://www.filehorse.com/search?q=wargaming), [Wondershare](https://www.filehorse.com/search?q=wondershare) [Free Download](https://www.filehorse.com/download-anaconda/download/) [Safe & Secure](https://www.filehorse.com/download-anaconda/#jsm-ss) ### Sponsored ### Recommended - [![](https://static.filehorse.com/icons/developer-tools/adobe-dreamweaver-icon-32.png) Dreamweaver](https://www.filehorse.com/download-adobe-dreamweaver/) - [![](https://static.filehorse.com/icons/developer-tools/adobe-portfolio-icon-32.png) Portfolio](https://www.filehorse.com/download-adobe-portfolio/) - [![](https://static.filehorse.com/icons/developer-tools/dbforge-studio-mysql-icon-32.png) dbForge Studio](https://www.filehorse.com/download-dbforge-studio-mysql/) - [![](https://static.filehorse.com/icons/developer-tools/microsoft-sql-server-2019-icon-32.png) SQL Server](https://www.filehorse.com/download-microsoft-sql-server/) - [![](https://static.filehorse.com/icons/developer-tools/google-antigravity-icon-32.png) Antigravity](https://www.filehorse.com/download-google-antigravity/) - [![](https://static.filehorse.com/icons/developer-tools/instapage-icon-32.png) Instapage](https://www.filehorse.com/download-instapage/) - [![](https://static.filehorse.com/icons/developer-tools/microsoft-access-icon-32.png) Access](https://www.filehorse.com/download-microsoft-access/) - [![](https://static.filehorse.com/icons/developer-tools/10web-icon-32.png) 10Web](https://www.filehorse.com/download-10web/) [View More »](https://www.filehorse.com/software-developer-tools/) ![](https://static.filehorse.com/icons/developer-tools/anaconda-icon-32.png) # [Anaconda](https://www.filehorse.com/download-anaconda/) February, 12th 2026 \- 1.1 GB - Open Source [Free Download](https://www.filehorse.com/download-anaconda/download/) [Safe & Secure](https://www.filehorse.com/download-anaconda/#jsm-ss) - [Review](https://www.filehorse.com/download-anaconda/#review) - [Screenshots](https://www.filehorse.com/download-anaconda/#screenshots) - [Old Versions](https://www.filehorse.com/download-anaconda/old-versions/) - Latest Version Anaconda 3 2025.12.1 LATEST - Review by [Daniel Leblanc](https://www.filehorse.com/editor/daniel-leblanc/) - Operating System Windows 7 64 / Windows 8 64 / Windows 10 64 / Windows 11 - User Rating Click to vote - Author / Product [Anaconda, Inc.](https://www.anaconda.com/) / [External Link](https://www.anaconda.com/download) - Filename Anaconda3-2025.12-1-Windows-x86\_64.exe The open-source Anaconda (formerly Anaconda Distribution) is the easiest way to perform Python/R data science and machine learning on Linux, Windows, and macOS. With over 15 million users worldwide, it is the industry standard for developing, testing, and training on a single machine, enabling individual data scientists to: - Quickly download 1,500+ [Python](https://www.filehorse.com/download-python-64/)/R data science packages - Manage libraries, dependencies, and environments with Conda - Develop and train machine learning and deep learning models with sci-kit-learn, TensorFlow, and Theano - Analyze data with scalability and performance with Dask, NumPy, pandas, and Numba - Visualize results with Matplotlib, Bokeh, Datashader, and Holoviews Anaconda Distribution is a comprehensive and open-source platform that simplifies package management and deployment for data science and machine learning projects. Developed and maintained by Anaconda Inc., this distribution is designed to provide a powerful and flexible environment for Python and [R programming](https://www.filehorse.com/download-r-for-windows/). It comes pre-packaged with a wide range of libraries, tools, and packages, making it an ideal choice for anyone working in fields such as data analysis, machine learning, scientific computing, and more. Directly from the platform and without involving DevOps, data scientists can develop and deploy AI and machine learning models rapidly into production. Anaconda Python provides the tools needed to easily: - Collect data from files, databases, and data lakes - Manage environments with Conda (all package dependencies are taken care of at the time of download) - Share, collaborate on, and reproduce projects - Deploy projects into production with a single click of a button A Versatile Open-Source Package and Environment Manager Conda stands as an open-source system for managing packages and environments, compatible with Windows, macOS, and Linux operating systems. This versatile tool offers swift installation, execution, and updates for packages and their associated dependencies. Moreover, Conda provides effortless capabilities for generating, storing, loading, and transitioning between various environments on your local machine. Originally designed for Python projects, it can also package and distribute software for a multitude of programming languages. Key Features Conda Package Manager: Anaconda's Conda package manager simplifies package installation, dependency management, and version control. It allows users to create isolated environments for different projects, ensuring that dependencies do not clash. Rich Library Ecosystem: The distribution comes with over 1,500 data science packages, including popular ones like [NumPy](https://www.filehorse.com/download-numpy/), Pandas, SciPy, Matplotlib, and scikit-learn. This vast library ecosystem reduces the need for manual installations. Jupyter Notebook Integration: It seamlessly integrates with Jupyter Notebook, providing an interactive and visually appealing environment for code development, data exploration, and documentation. IDE Integration: It can be integrated with popular integrated [development](https://www.filehorse.com/software-developer-tools/) environments (IDEs) like Visual Studio Code, PyCharm, and JupyterLab, enhancing the development experience. Data Visualization Tools: It includes tools for data visualization, such as Seaborn and Bokeh, making it easier to create informative charts and graphs. Machine Learning Frameworks: It supports popular machine learning frameworks like TensorFlow, Keras, and PyTorch, enabling users to build and train complex models effortlessly. Cloud Integration: Users can seamlessly deploy their projects to cloud platforms like AWS, Microsoft Azure, and Google Cloud using Anaconda Cloud or Anaconda Enterprise. User Interface It primarily relies on command-line interaction for package management and environment setup. However, it offers user-friendly graphical interfaces for some tasks, such as Anaconda Navigator. Anaconda Navigator is a desktop graphical user interface that allows users to manage packages, environments, and projects with ease. While the command-line interface provides more control, Anaconda Navigator simplifies common tasks, making it accessible to users with varying levels of expertise. Installation and Setup Visit the official website or FileHorse and download the installer suitable for your operating system (Windows, macOS, or Linux). Follow the installation instructions, which typically involve accepting the license agreement, selecting the installation location, and adding the app to your system's PATH. Once installed, open Anaconda Navigator (if you prefer a graphical interface) or use the command-line interface to create and manage environments, install packages, and run Jupyter notebooks. How to Use Create Environments: Use the conda create command to create isolated environments for your projects. This helps avoid conflicts between packages and dependencies. Activate Environments: Activate an environment using conda activate environment\_name to work within a specific project's environment. Install Packages: Use conda install package\_name to install packages. It will automatically handle dependencies. Launch Jupyter Notebook: Launch Jupyter Notebook by running Jupyter Notebook in your activated environment. You can then create and run Python notebooks for your projects. Explore Documentation: It offers extensive documentation and tutorials on its website, which can help you get started with data science and machine learning tasks. FAQs Is Anaconda FREE? Yes, the program is FREE and open-source. However, Anaconda Inc. also offers a paid version called Anaconda Enterprise, which provides additional features and support. Can I use Anaconda Distribution with languages other than Python and R? While the app is primarily known for Python and R, you can use it with other programming languages by creating separate environments for those languages. How do I update packages in Anaconda? You can update packages using the conda update package\_name command. To update all packages in an environment, use conda update --all. Does Anaconda support GPU acceleration for deep learning? Yes, it supports GPU acceleration for deep learning frameworks like TensorFlow and PyTorch. You'll need to install the GPU versions of these libraries. Can I share my Anaconda environments with others? Yes, you can export your environment specifications to a YAML file using conda env export \> environment.yml. Others can then recreate the environment using this file with conda env create -f environment.yml. What’s New - Anaconda Distribution 2025.12 (latest version) - Updated Conda version: Ships with conda 25.11.0, including enhancements and bug fixes. - Python builds: Includes metapackages built for Python 3.10, 3.11, 3.12, and 3.13; note that Python 3.9 reached end-of-life in October 2025. - Anaconda Navigator 2.7.0: - Added support for Python 3.13. - Navigator no longer automatically inserts the default channel. - Migrated the application framework to Qt6. - Dropped support for macOS x86\_64 (osx-64) — only Apple Silicon (arm64) and Windows/Linux builds are maintained. - Both Qt5 and Qt6 are included: Qt6 supports Navigator 2.7.0 and most GUIs, while Qt5 remains for compatibility with older packages (e.g., Spyder 6.1.0), with this duplication planned to be removed in future releases. - Amazon Linux 2 compatibility note: Packages built after September 2025 require glibc 2.28 or later, so older Amazon Linux 2 systems are not supported. Pricing The app itself is FREE. However, Anaconda Inc. offers commercial products and services, such as Anaconda Enterprise, which is a paid platform designed for enterprise-level data science and machine learning operations. Anaconda Distribution is free for individual users, students, and organizations with fewer than 200 employees and less than \$1 million USD in annual revenue. Pricing for Anaconda Enterprise varies based on the scale and specific needs of your organization, so you should contact Anaconda Inc. directly for a quote. PRO PLAN - \$25 /month (per user) Practitioners building Python applications - 10GB for cloud-hosted notebooks - User access controls - Enhanced support BUSINESS PLAN - \$75 /month (per user) Teams with advanced security requirements - Open-source software supply chain security tools - Curated vulnerability data - Audit logs PROS - Comprehensive package management with Conda. - Rich library ecosystem for data science. - Easy environment isolation. - Seamless integration with Jupyter Notebook. - Support for popular machine learning frameworks. - Cloud deployment options. - Active community and extensive documentation. CONS - Large installation size. - Graphical interface can be slow at times. - Some users may find the command-line interface intimidating. Conclusion It remains a powerhouse in the world of data science and machine learning. Its vast library ecosystem, robust package management, and seamless integration with Jupyter Notebook make it a top choice for both beginners and experts. While the installation size might be a drawback for those with limited disk space, the benefits far outweigh this minor inconvenience. Whether you're a data scientist, machine learning engineer, or just a [Python](https://www.filehorse.com/search?q=python) enthusiast, Anaconda is a must-have tool for creating and managing your data science projects. With a supportive community and extensive documentation, you'll find the resources you need to excel in your data-driven endeavors. Also Available: [Download Anaconda for Mac](https://mac.filehorse.com/download-anaconda/) [Download Anaconda Latest Version](https://www.filehorse.com/download-anaconda/download/ "Download Anaconda 3 2025.12.1 for Free") Why is this app published on FileHorse? ([More info](https://www.filehorse.com/download-anaconda/#jsm-why)) - ### Anaconda 3 2025.12.1 Screenshots The images below have been resized. Click on them to view the screenshots in full size. 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Here are the most common license types: ### Freeware Freeware programs can be downloaded used free of charge and without any time limitations. Freeware products can be used free of charge for both personal and professional (commercial use). ### Open Source Open Source software is software with source code that anyone can inspect, modify or enhance. Programs released under this license can be used at no cost for both personal and commercial purposes. There are many different open source licenses but they all must comply with the Open Source Definition - in brief: the software can be freely used, modified and shared. ### Free to Play This license is commonly used for video games and it allows users to download and play the game for free. Basically, a product is offered Free to Play (Freemium) and the user can decide if he wants to pay the money (Premium) for additional features, services, virtual or physical goods that expand the functionality of the game. In some cases, ads may be show to the users. ### Demo Demo programs have a limited functionality for free, but charge for an advanced set of features or for the removal of advertisements from the program's interfaces. In some cases, all the functionality is disabled until the license is purchased. Demos are usually not time-limited (like Trial software) but the functionality is limited. ### Trial Trial software allows the user to evaluate the software for a limited amount of time. After that trial period (usually 15 to 90 days) the user can decide whether to buy the software or not. Even though, most trial software products are only time-limited some also have feature limitations. ### Paid Usually commercial software or games are produced for sale or to serve a commercial purpose. [Click here to close](https://www.filehorse.com/download-anaconda/) Security Status To make sure your data and your privacy are safe, we at FileHorse check all software installation files each time a new one is uploaded to our servers or linked to remote server. Based on the checks we perform the software is categorized as follows: ### Safe This file has been scanned with VirusTotal using more than 70 different antivirus software products and no threats have been detected. It's very likely that this software is clean and safe for use. ### Suspicious There are some reports that this software is potentially malicious or may install other unwanted bundled software. These could be false positives and our users are advised to be careful while installing this software. ### Disabled This software is no longer available for the download. This could be due to the program being discontinued, having a security issue or for other reasons. 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Readable Markdown	- Latest Version Anaconda 3 2025.12.1 LATEST - Review by [Daniel Leblanc](https://www.filehorse.com/editor/daniel-leblanc/) - Operating System Windows 7 64 / Windows 8 64 / Windows 10 64 / Windows 11 - User Rating Click to vote - Author / Product [Anaconda, Inc.](https://www.anaconda.com/) / [External Link](https://www.anaconda.com/download) - Filename Anaconda3-2025.12-1-Windows-x86\_64.exe The open-source Anaconda (formerly Anaconda Distribution) is the easiest way to perform Python/R data science and machine learning on Linux, Windows, and macOS. With over 15 million users worldwide, it is the industry standard for developing, testing, and training on a single machine, enabling individual data scientists to: - Quickly download 1,500+ [Python](https://www.filehorse.com/download-python-64/)/R data science packages - Manage libraries, dependencies, and environments with Conda - Develop and train machine learning and deep learning models with sci-kit-learn, TensorFlow, and Theano - Analyze data with scalability and performance with Dask, NumPy, pandas, and Numba - Visualize results with Matplotlib, Bokeh, Datashader, and Holoviews Anaconda Distribution is a comprehensive and open-source platform that simplifies package management and deployment for data science and machine learning projects. Developed and maintained by Anaconda Inc., this distribution is designed to provide a powerful and flexible environment for Python and [R programming](https://www.filehorse.com/download-r-for-windows/). It comes pre-packaged with a wide range of libraries, tools, and packages, making it an ideal choice for anyone working in fields such as data analysis, machine learning, scientific computing, and more. Directly from the platform and without involving DevOps, data scientists can develop and deploy AI and machine learning models rapidly into production. Anaconda Python provides the tools needed to easily: - Collect data from files, databases, and data lakes - Manage environments with Conda (all package dependencies are taken care of at the time of download) - Share, collaborate on, and reproduce projects - Deploy projects into production with a single click of a button A Versatile Open-Source Package and Environment Manager Conda stands as an open-source system for managing packages and environments, compatible with Windows, macOS, and Linux operating systems. This versatile tool offers swift installation, execution, and updates for packages and their associated dependencies. Moreover, Conda provides effortless capabilities for generating, storing, loading, and transitioning between various environments on your local machine. Originally designed for Python projects, it can also package and distribute software for a multitude of programming languages. Key Features Conda Package Manager: Anaconda's Conda package manager simplifies package installation, dependency management, and version control. It allows users to create isolated environments for different projects, ensuring that dependencies do not clash. Rich Library Ecosystem: The distribution comes with over 1,500 data science packages, including popular ones like [NumPy](https://www.filehorse.com/download-numpy/), Pandas, SciPy, Matplotlib, and scikit-learn. This vast library ecosystem reduces the need for manual installations. Jupyter Notebook Integration: It seamlessly integrates with Jupyter Notebook, providing an interactive and visually appealing environment for code development, data exploration, and documentation. IDE Integration: It can be integrated with popular integrated [development](https://www.filehorse.com/software-developer-tools/) environments (IDEs) like Visual Studio Code, PyCharm, and JupyterLab, enhancing the development experience. Data Visualization Tools: It includes tools for data visualization, such as Seaborn and Bokeh, making it easier to create informative charts and graphs. Machine Learning Frameworks: It supports popular machine learning frameworks like TensorFlow, Keras, and PyTorch, enabling users to build and train complex models effortlessly. Cloud Integration: Users can seamlessly deploy their projects to cloud platforms like AWS, Microsoft Azure, and Google Cloud using Anaconda Cloud or Anaconda Enterprise. User Interface It primarily relies on command-line interaction for package management and environment setup. However, it offers user-friendly graphical interfaces for some tasks, such as Anaconda Navigator. Anaconda Navigator is a desktop graphical user interface that allows users to manage packages, environments, and projects with ease. While the command-line interface provides more control, Anaconda Navigator simplifies common tasks, making it accessible to users with varying levels of expertise. Installation and Setup Visit the official website or FileHorse and download the installer suitable for your operating system (Windows, macOS, or Linux). Follow the installation instructions, which typically involve accepting the license agreement, selecting the installation location, and adding the app to your system's PATH. Once installed, open Anaconda Navigator (if you prefer a graphical interface) or use the command-line interface to create and manage environments, install packages, and run Jupyter notebooks. How to Use Create Environments: Use the conda create command to create isolated environments for your projects. This helps avoid conflicts between packages and dependencies. Activate Environments: Activate an environment using conda activate environment\_name to work within a specific project's environment. Install Packages: Use conda install package\_name to install packages. It will automatically handle dependencies. Launch Jupyter Notebook: Launch Jupyter Notebook by running Jupyter Notebook in your activated environment. You can then create and run Python notebooks for your projects. Explore Documentation: It offers extensive documentation and tutorials on its website, which can help you get started with data science and machine learning tasks. FAQs Is Anaconda FREE? Yes, the program is FREE and open-source. However, Anaconda Inc. also offers a paid version called Anaconda Enterprise, which provides additional features and support. Can I use Anaconda Distribution with languages other than Python and R? While the app is primarily known for Python and R, you can use it with other programming languages by creating separate environments for those languages. How do I update packages in Anaconda? You can update packages using the conda update package\_name command. To update all packages in an environment, use conda update --all. Does Anaconda support GPU acceleration for deep learning? Yes, it supports GPU acceleration for deep learning frameworks like TensorFlow and PyTorch. You'll need to install the GPU versions of these libraries. Can I share my Anaconda environments with others? Yes, you can export your environment specifications to a YAML file using conda env export \> environment.yml. Others can then recreate the environment using this file with conda env create -f environment.yml. What’s New - Anaconda Distribution 2025.12 (latest version) - Updated Conda version: Ships with conda 25.11.0, including enhancements and bug fixes. - Python builds: Includes metapackages built for Python 3.10, 3.11, 3.12, and 3.13; note that Python 3.9 reached end-of-life in October 2025. - Anaconda Navigator 2.7.0: - Added support for Python 3.13. - Navigator no longer automatically inserts the default channel. - Migrated the application framework to Qt6. - Dropped support for macOS x86\_64 (osx-64) — only Apple Silicon (arm64) and Windows/Linux builds are maintained. - Both Qt5 and Qt6 are included: Qt6 supports Navigator 2.7.0 and most GUIs, while Qt5 remains for compatibility with older packages (e.g., Spyder 6.1.0), with this duplication planned to be removed in future releases. - Amazon Linux 2 compatibility note: Packages built after September 2025 require glibc 2.28 or later, so older Amazon Linux 2 systems are not supported. Pricing The app itself is FREE. However, Anaconda Inc. offers commercial products and services, such as Anaconda Enterprise, which is a paid platform designed for enterprise-level data science and machine learning operations. Anaconda Distribution is free for individual users, students, and organizations with fewer than 200 employees and less than \$1 million USD in annual revenue. Pricing for Anaconda Enterprise varies based on the scale and specific needs of your organization, so you should contact Anaconda Inc. directly for a quote. PRO PLAN - \$25 /month (per user) Practitioners building Python applications - 10GB for cloud-hosted notebooks - User access controls - Enhanced support BUSINESS PLAN - \$75 /month (per user) Teams with advanced security requirements - Open-source software supply chain security tools - Curated vulnerability data - Audit logs PROS - Comprehensive package management with Conda. - Rich library ecosystem for data science. - Easy environment isolation. - Seamless integration with Jupyter Notebook. - Support for popular machine learning frameworks. - Cloud deployment options. - Active community and extensive documentation. CONS - Large installation size. - Graphical interface can be slow at times. - Some users may find the command-line interface intimidating. Conclusion It remains a powerhouse in the world of data science and machine learning. Its vast library ecosystem, robust package management, and seamless integration with Jupyter Notebook make it a top choice for both beginners and experts. While the installation size might be a drawback for those with limited disk space, the benefits far outweigh this minor inconvenience. Whether you're a data scientist, machine learning engineer, or just a [Python](https://www.filehorse.com/search?q=python) enthusiast, Anaconda is a must-have tool for creating and managing your data science projects. With a supportive community and extensive documentation, you'll find the resources you need to excel in your data-driven endeavors. Also Available: [Download Anaconda for Mac](https://mac.filehorse.com/download-anaconda/) Why is this app published on FileHorse? ([More info](https://www.filehorse.com/download-anaconda/#jsm-why)) - ### Anaconda 3 2025.12.1 Screenshots The images below have been resized. Click on them to view the screenshots in full size. [![Anaconda 3 2025.12.1 Screenshot 1](https://static.filehorse.com/screenshots/developer-tools/anaconda-screenshot-01.png)](https://static.filehorse.com/screenshots/developer-tools/anaconda-screenshot-01.png) - [![Anaconda 3 2025.12.1 Screenshot 2](https://static.filehorse.com/screenshots/developer-tools/anaconda-screenshot-02.png)](https://static.filehorse.com/screenshots/developer-tools/anaconda-screenshot-02.png)
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