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The Most Popular Python Data Science Platform

4.5M+

Users

1,000+

Data Science Packages

150+

Enterprise Customers

With over 4.5 million users, Anaconda is the world’s most popular Python data science platform. Anaconda, Inc. continues to lead open source projects like Anaconda, NumPy and SciPy that form the foundation of modern data science. Anaconda’s flagship product, Anaconda Enterprise, allows organizations to secure, govern, scale and extend Anaconda to deliver actionable insights that drive businesses and industries forward.

Anaconda Platform

Anaconda Offerings

Distribution

Download the leading Python distribution for data science today

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Enterprise

Get the enterprise-ready data science platform for your team

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Support

Get the support you need for your open source production environments

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Consulting & Training

Solve enterprise data science challenges with the creators of Anaconda

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Interested in Anaconda Enterprise? Contact us and request a free demo.

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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