The only repository built for data science in the enterprise. Manage open-source packages and dependencies with a mirrored repository built by Anaconda—the birthplace of Python data science.
* Anaconda Team Edition is available directly from Anaconda only.
Data science meets the enterprise
As the newest discipline in the enterprise, data science teams can feel like they’re on an island.
Keep your data science team on the same page as the rest of the organization, especially IT and DevOps,
by managing open-source packages according to enterprise security standards.
Access more than 7,500 open-source packages (Conda-Forge, CRAN, PyPI)
from your central enterprise repository and add your own proprietary packages.
Get Conda package updates in real time, as they are released.
Block, exclude, and include packages according to your enterprise standards.
Control which packages your team can download and who can access them.
Keep vulnerabilities and unreliable software out of your data science and machine learning pipeline,
and manage dependent packages with ease.
Distribute packages across user channels, and give users quicker access to the open-source
software they need through caching proxies. Packages are delivered automatically to your workflow.
Your clearinghouse for build artifacts
When you mirror our repository for data science and machine learning packages onto your own infrastructure, you’re in control of the quality of artifacts your team uses in enterprise projects.
Bring the power of open-source innovation to your organization with Conda packages and metadata carefully curated by the Anaconda team.
User access control
Organized, searchable package metadata
Mirror on-prem or in the cloud
Block and safelist packages
Administer and track artifact history
Compliant for commercial use according to the Anaconda Terms of Service
There's a Team Edition package that's right for your data science organization
Grow with us
Join our Strategic Adopter program when you become a Team Edition customer.
Give us your feedback and help guide future developments in exchange for preferential pricing.
Contact sales to learn more.
Store and distribute
Easily distribute any Python/R binary artifacts to end users, package managers, and CI servers
Retrieve and store artifacts and their dependencies throughout the development lifecycle
Centralize access to packages: mirror external packages and share internal packages to increase productivity and optimize resources
Upload your own custom-built packages
Supports many binary artifact types (Conda, CRAN, and PyPI)
REST APIs with full SwaggerUI Docs or CLI tool
View reports and monitor
Platform reporting and monitoring
Bug fixes and security-sensitive releases
Integration with package libraries for CVE reports
Search and filter
Search package metadata
Designed with audit trail and package history in mind
Add your own metadata to each artifact
But isn’t open-source software safe on its own?
Generally, yes. Open-source software has more eyes on it, and it is more transparent than proprietary software.
However, like all software, it still has vulnerabilities. Without constant monitoring and proper management,
vulnerabilities are likely to creep in over time. Learn more in our Enterprise Guide to a Secure Data Science Pipeline.