Team Edition

Govern and secure your open-source packages and libraries

Centralize your organization’s projects, secure open-source packages and libraries, and manage vulnerabilities with a private repository hosted on-premise or in your cloud. Harness open-source building blocks for enterprise-grade data science.

Secure your software supply chain

Cybersecurity incidents are among the greatest threats facing organizations today. Secure and scale open-source adoption in your organization by managing open-source packages according to enterprise security standards. Anaconda Team Edition automates the auditing process by allowing administrators to proactively filter access to packages and files against a curated database of known vulnerabilities, allowing teams to focus on building models.

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Open Source Innovation

Access open-source packages—such as conda, CRAN, and standard Python — and add custom proprietary packages to your own mirrored enterprise repository. Open-source packages are carefully vetted and curated in our premium repository by the experts at Anaconda.

🔐
Secure Pipeline

Create differentiated channels that adhere to your organization’s standards by filtering, managing, and securing select packages for every project that comes your way. 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.

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Simple Workflows

Distribute packages across user channels and give users quicker access to the open-source software they need through your dedicated server. Packages are delivered automatically to your workflow.

Datasheet

Learn more about Anaconda Team Edition

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The trusted source for build artifacts

Be in control of the quality of artifacts your team uses. 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.

The experts at Anaconda are carefully vetting and curating CVEs so that your organization can fully leverage the power of open-source software.

Key Features

  • CVE reporting
  • User access control
  • Mirror on-premise or in the cloud
  • Block and safelist packages
  • Administer and track artifact history
  • Organized, searchable package metadata
  • 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

Feature NameStarterScaleStrategic
Pricing (Annual)$10,000$25,000$50,000
Certified Implementation (required one-time fee)$2,500$2,500$5,000
UsersUp to 5Up to 20Up to 50
SupportBasicBasic24hr SLA
TrainingVideo Quick StartVideo Quick StartVideo Quick Start
Additional Users$1,000 per user
(max 19)
Talk to Sales
(max 49)
Talk to Sales
Feature NameStarterScaleStrategic
Pricing (Annual)$10,000$25,000$50,000
Certified Implementation (required one-time fee)$2,500$2,500$5,000
UsersUp to 5Up to 20Up to 50
SupportBasicBasic24hr SLA
TrainingVideo Quick StartVideo Quick StartVideo Quick Start
Additional Users$1,000 per user
(max 19)
Talk to Sales
(max 49)
Talk to Sales
Store and distribute

Store and distribute

  • Easily distribute any Python/R binary artifacts to end users, package managers, and CI systems
  • 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 standard Python)
Software and user governance

Software and user governance

  • Integration with package libraries for CVE reports to stay up to date with the latest security and vulnerability risks
  • Easily and proactively implement enterprise-grade security policies with CVSS filtering
  • Channel management with group-wide or user-specific access controls
Search and filter

Search and filter

  • Search package metadata
  • Designed with audit trail and package history in mind
  • Add your own metadata to each artifact
Anaconda Guide Thumbnail

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.

Download Guide

Contact Sales

Let's Talk!

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

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