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Fill out the form to see Anaconda Team Edition in action. We look forward to helping you accelerate your data science journey.
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.
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.
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.
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.
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.
Fill out the form to see Anaconda Team Edition in action. We look forward to helping you accelerate your data science journey.