Anaconda Distribution is a Python/R data science distribution and a collection of over 7,500+ open-source packages, which includes a package and environment manager. Anaconda Distribution is platform-agnostic, so you can use it whether you are on Windows, macOS, or Linux. It’s also is free to install and offers free community support.
View the Anaconda Distribution documentation.
Your hub for data science and Python! Learn all the best practices, tips, and foundations of data science and Python directly from Anaconda with Anaconda Learning. Start coding immediately with interactive sample notebooks and extensions.
View the Anaconda Nucleus documentation.
Formerly known as Commercial Edition
Anaconda Professional is the world’s most popular open-source package distribution and management experience, optimized for commercial use and compliance with our Terms of Service.
Anaconda Business empowers organizations to enforce security policies for open-source software in our cloud environment without sacrificing the velocity of the data science team.
Formerly known as Team Edition
Anaconda Server is our latest generation repository for all things Anaconda. With support for all major operating systems, the repository serves as your central conda, PyPI, and CRAN packaging resource for desktop users, development clusters, CI/CD systems, and production containers.
Anaconda Enterprise Edition¶
Anaconda Enterprise is an enterprise-ready, secure, and scalable data science platform that empowers teams to govern data science assets, collaborate, and deploy data science projects.
Enterprise 5 includes these capabilities:
- Easily deploy your projects into interactive data applications, live notebooks, and machine learning models with APIs.
- Share those applications with colleagues and collaborators.
- Manage your data science assets: notebooks, packages, environments, and projects in an integrated data science experience.
Anaconda.org is a package management service that makes it easy to find, access, store, and share public notebooks and environments, as well as conda and PyPI packages.
View Anaconda.org documentation.