Advancing AI with Open Source, at Scale

Built on a rich history of open source and Python, Anaconda is the guardian of open innovation, helping users utilize AI to turn ideas into impact.

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Millions Rely on Anaconda to Advance Their
AI Initiatives

50

M

Users Globally

1.9

M

Developers and contributors

1

M+

Global Organizations

95

%

Fortune 500 companies

Our History

Anaconda was founded in 2012 by Peter Wang and Travis Oliphant out of the need to bring Python into business data analytics. The use of Python has since exploded, and it’s the most popular programming language used today. Anaconda now has over 300 full-time employees worldwide and is proud to serve over 40 million users!

Our Leadership Team

Anaconda is spearheading AI innovation and value with the guidance of the brightest minds and most experienced executives.

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Jane
Kim

Co-President and Chief Commercial Officer

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Laura
Sellers

Co-President and Chief Product and Technology Officer

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Photo of Peter Wang

Peter
Wang

Chief AI and Innovation Officer and Co-founder

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Photo of Nitin Mittal

Nitin
Mittal

Chief Financial Officer

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Photo of Mark Mitchell

Mark
Mitchell

Senior Vice President,
Strategy and Operations

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Vanessa
Macllwaine

Chief People Officer

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Megan
Niedermeyer

Chief Legal Officer

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Backed by Visionary Partners

Recognized Industry Leadership

Additional Resources for Your AI Journey

Insights

Get the latest news on Anaconda’s products and open-source AI initiatives

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Training

Advance your AI, data science, and Python skills with our free courses

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Content

Explore our guides, reports, videos, white papers, events, and more

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Careers

Find a career at Anaconda. See all the open roles across the company

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Unlock the Full Potential of Open Source

Join the 95% of Fortune 500 companies that leverage the security, speed, and scale of Anaconda’s trusted open source distribution to turn their AI strategy from vision to reality. Schedule a consultation to see how our platform can deliver ROI for your organization.

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Anaconda Frequently Asked Questions – FAQs

What problem does Anaconda solve?

Python is a popular programming language that is widely used for numerical computing and data analysis across many industries, hardwares, and production pipelines. Anaconda is a one-stop-shop for Python and R packages, solving many problems associated with using and managing open-source software.

Most projects in the Python open-source software (OSS) ecosystem depend on other projects to function, and this forms a chain of prerequisites and requirements otherwise known as “dependencies.” Open-source projects are managed independently by maintainers around the world who release updates asynchronously. Thus, a tool that manages packages, recognizes your hardware architecture, and keeps projects separate is necessary in order to ensure proper functionality.

Conda is Anaconda’s package, environment, and dependency manager. It is cross-platform (Windows, macOS, Linux [x86/AARCH64/PPC64LE/s390x]), cross-language (supports Python, R, C/C++, Rust, Go, and more), and ensures package compatibility and environment correctness. Without a package and environment manager like Conda, the chain of dependencies can become unmanageable; packages may depend on incompatible versions of other packages, and obtaining different versions of those other packages may break other dependencies and push the problem downstream. In other words, chaos ensues.

Anaconda was built to cut through—and prevent—the chaos associated with package and environment management. Our paid plans offer additional capabilities and allow open-source software to be safely and securely utilized, even in the most stringent and regulated industries.

Anaconda Distribution is a free Python/R data science distribution. An Anaconda Distribution install includes Conda and Anaconda Navigator, a desktop GUI that is preloaded with the most widely used data science and machine learning packages.

Anaconda’s ease of use makes it an attractive option for data practitioners of all abilities—particularly those who wish to build and test models together, and those who value business impact and data-driven decision making. IT and InfoSec teams also benefit from using Anaconda, leveraging its security and governance features to manage their infrastructure with confidence and reduce their organization’s exposure to vulnerabilities. And of course students, researchers, and academics can use Anaconda to streamline workflows and deliver value—no matter their field.

Organizations across many industries including finance, manufacturing, healthcare, and more are using Anaconda to harness open-source innovation and build custom models and applications. From neural networks to data visualization to robotics, the use cases are limitless.

Yes! Our plans make it easy for enterprise users to access the open-source software they need while adhering to advanced security standards.

Python is a widely used, multi-purpose programming language. Anaconda pioneered the use of Python for data science, champions its vibrant community, and continues to steward open-source projects that make tomorrow’s innovation possible.

Anaconda pricing is detailed on our Pricing page.

Anaconda’s paid plans offer a variety of features and tools that support open-source security and compliance, from Conda Signature Verification to CVE curation to SBOMs and more.

Conda, Anaconda’s package, environment, and dependency manager, was built to support cross-platforms (Windows, macOS, Linux [x86/AARCH64/PPC64LE/s390x]) and cross-languages (supports Python, R, C/C++, Rust, Go, and more). Conda is particularly helpful when it comes to reproducibility and deployment of applications into multiple environments. Models and applications written on one computer can easily be ported to another, regardless of platform. This type of interoperability continues to steward our core values of widespread adoption, sharing, and collaboration.

Head to our Support Center to access helpful documentation.

Yes! Head to our Careers page for more information and to view our open positions.