The Trusted Foundation for AI-Native Development
From experimentation to production, Anaconda gives teams the secure, governed foundation to build and deploy AI at scale.
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 with a clear conviction: open-source tools had the potential to transform how organizations work with data. That belief proved right. Today, data experimentation, trusted open-source software, and advanced computing at scale are the three pillars of AI-native development, and Anaconda sits at the center of all three.
Over the past decade, more than 50 million developers and data scientists have built on Anaconda, from students writing their first scripts to enterprises deploying production AI. The goal has stayed consistent throughout: give every team a secure, reliable foundation so they spend time building, not troubleshooting environments or chasing down dependency conflicts.
The future of software development is compound AI systems, and building them well requires exactly what Anaconda was built on: data experimentation, trusted open source, and advanced computing at scale. Anaconda’s platform handles the hard parts, so builders and organizations stay focused on their own work and goals. They trust Anaconda to keep their compound AI systems secure, consistent, and ready to scale.
Our Leadership Team
David DeSanto
Chief Executive Officer
Jane Kim
Co-President and Chief Commercial Officer
Laura Sellers
Co-President and Chief Product and Technology Officer
Peter Wang
Chief AI and Innovation Officer and Co-founder
Nitin Mittal
Chief Financial Officer
Mark Mitchell
Senior Vice President,
Strategy and Operations
Vanessa Macllwaine
Chief People Officer
Megan Niedermeyer
Chief Legal Officer
Backed by Visionary Partners
Recognized Industry Leadership
Additional Resources for Your AI Journey
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?
Open-source software is the foundation of modern AI development. But adopting it at scale introduces real challenges: unvetted packages, dependency conflicts, inconsistent environments, and security gaps that traditional tools were not built to address.
Most AI projects rely on dozens of interdependent open-source components, each maintained independently by contributors around the world. When those components fall out of sync, builds break, environments drift, and teams spend more time troubleshooting than building.
Anaconda solves this by providing a secure, governed foundation for working with open-source software across the entire AI development lifecycle. Conda, Anaconda’s package, environment, and dependency manager, ensures compatibility and reproducibility across platforms and architectures, so what works in development runs reliably in production. Our paid plans go further, giving enterprises the security controls, compliance tools, and access to vetted packages they need to build AI with confidence, even in the most regulated industries.
What is Anaconda Distribution?
Anaconda Distribution is a free Python distribution designed for data science with Python. 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.
Who should use Anaconda?
Anaconda is built for anyone who builds and deploys AI. Data scientists and AI engineers rely on it to experiment, develop models, and move work into production with confidence. IT and security teams use Anaconda’s governance and security features to manage their infrastructure, control access to vetted packages, and reduce exposure to vulnerabilities. For technical and business leaders, Anaconda provides the visibility and control needed to scale AI initiatives without sacrificing speed or compliance. Students, researchers, and academics also use Anaconda to streamline their workflows, regardless of field or experience level.
How is Anaconda being used?
Organizations across many industries including finance, manufacturing, healthcare, and more are using Anaconda to build and deploy AI-native applications. Teams use it to manage secure development environments, access vetted open-source packages, and move compound AI systems from experimentation to production reliably. From large language model development to data visualization to scientific computing, Anaconda provides the foundation teams need to build with speed and confidence at scale.
Does Anaconda make it easier for enterprises to perform open-source data science, AI, and machine learning?
Yes! Our plans make it easy for enterprise users to access the open-source software they need while adhering to advanced security standards.
What is the relationship between Anaconda and Python?
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.
How much does Anaconda cost?
Anaconda pricing is detailed on our Pricing page.
What kind of security is provided with Anaconda?
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.
What kind of interoperability does Anaconda offer?
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.
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Where can I find Anaconda support resources?
Head to our Support Center to access helpful documentation.
Is Anaconda hiring?
Yes! Head to our Careers page for more information and to view our open positions.