The Most Popular Python Data Science Platform
1,000+Data Science Packages
With over 6 million users, the open source Anaconda Distribution is the easiest way to do Python data science and machine learning. It includes 250+ popular data science packages and the conda package and virtual environment manager for Windows, Linux, and MacOS. Conda makes it quick and easy to install, run, and upgrade complex data science and machine learning environments like Scikit-learn, TensorFlow, and SciPy. Anaconda Distribution is the foundation of millions of data science projects as well as Amazon Web Services' Machine Learning AMIs and Anaconda for Microsoft on Azure and Windows.
Reproducible Data Science and Machine Learning
The Python and R conda packages in the Anaconda Repository are curated and compiled in our secure environment so you get optimized binaries that "just work" on your system. Combined with conda's virtual environments and deep dependency management, you can easily reproduce exactly the same data science results across Windows, Linux, and MacOS systems. The 1,000+ packages in the Anaconda Repository are free for everyone, and we also host the Conda Forge community of conda package builders on anaconda.org.
Anaconda’s commercial product, Anaconda Enterprise is software for enterprise organizations to collaborate, govern, scale, and secure Python and R data science and machine learning. Data scientists can securely collaborate on Notebooks and models with full enterprise directory-based access control and version control. IT can operate its own private Python and R package repository to mirror, filter, and manage packages to meet its governance and security policies. Quickly deploy ML models, live notebooks and dashboards to production compute clusters running Docker/Kubernetes, Hadoop, and Spark. Anaconda Enterprise runs in your own data centers and on AWS, Azure, and Google Cloud Platform. You can even run it in secure "air-gapped" environments that have no Internet access.
"GE data science is all about real-time collaboration. Our teams are scattered around the world, and we want to be able to collaborate in real time. We want to have a common machine learning platform that everyone can use for modern analytics, and set standards that everyone can follow. Anaconda Enterprise allows us to do this in a very efficient way." — Girish Modgil, Senior Director of Data & Analytics · General Electric