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 hundreds of 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, allows organizations to collaborate, govern, scale, and secure Python and R in enterprise environments. Data scientists can securely collaborate on Notebooks and models with full enterprise directory-based access control and version control. Run your own private Python and R package repository where you can mirror, filter, and manage packages to meet your enterprise governance and security policies. Deploy notebooks, dashboards, ML models, apps, and APIs to Docker/Kubernetes, Hadoop, and Spark clusters with a single click. 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.
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"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
The Value of Anaconda
Access to the latest data science innovations and the ability to extract value from your data through innovative open source analytics
An enterprise platform with scalable collaboration, deployment, rapid prototyping and end-to-end data science workflows
A trusted and governed data science distribution, identity management system integration and the ability to securely manage your open source ecosystem
A community of experts, including open source developers, data scientists, business analysts, data engineers, DevOps and data science and IT executives
Enterprise support with guarantees and assurances to allow you to implement your data science with confidence