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  • Individual Edition

Your data science toolkit

With over 25 million users worldwide, the open-source Individual Edition (Distribution) is the easiest way to perform Python/R data science and machine learning on a single machine. Developed for solo practitioners, it is the toolkit that equips you to work with thousands of open-source packages and libraries.

Open Source

Anaconda Individual Edition is the world’s most popular Python distribution platform with over 25 million users worldwide. You can trust in our long-term commitment to supporting the Anaconda open-source ecosystem, the platform of choice for Python data science.


Conda Packages

Search our cloud-based repository to find and install over 7,500 data science and machine learning packages. With the conda-install command, you can start using thousands of open-source Conda, R, Python and many other packages.


Manage Environments

Individual Edition is an open source, flexible solution that provides the utilities to build, distribute, install, update, and manage software in a cross-platform manner. Conda makes it easy to manage multiple data environments that can be maintained and run separately without interference from each other.


Build machine learning models

Build and train machine learning models using the best Python packages built by the open-source community, including scikit-learn, TensorFlow, and PyTorch.


The open-source community at your fingertips

With Anaconda Individual Edition, the open-source world is your oyster. From robotics to data visualization, you can access the open-source software you need for projects in any field.


User interface makes learning easier

Anaconda Navigator is a desktop GUI that comes with Anaconda Individual Edition. It makes it easy to launch applications and manage packages and environments without using command-line commands.

Expedite your data science journey with easy access to training materials, documentation, and community resources including Anaconda.org.


Anaconda for the enterprise

With Anaconda's Team and Enterprise Editions, our stack can handle the most advanced enterprise data science requirements.


  • Commercial Edition

Commercial-grade, premium package repository

The world's most popular open-source package distribution and management experience, optimized for commercial use and compliance with our Terms of Service.

Open-source innovation for real-world applications

Leverage the innovation of open-source in your commercial organization with Conda packages and metadata carefully curated by the Anaconda team.

When you mirror our commercial package 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.

Using Anaconda to power your product? Check out Anaconda Embedded to learn more about how you can develop and optimize with Anaconda's products and experts.


Key Features

  • More than 7500 Anaconda-built data science/machine learning packages

  • Access to all Anaconda packages curated for security and compatibility

  • With a site license, organizations can use mirroring software to create copies of the commercial package repository

  • Guaranteed up-time to support commercial usage

  • Conda signature verification

  • Compliant for commercial use according to the Anaconda Terms of Service



Sustaining the open-source community

More than 25 million users worldwide count on Anaconda’s commitment to the open-source ecosystem. For almost a decade now, Anaconda has invested millions of dollars every year into open-source innovation and maintenance of projects such as Pandas, Dask, Numba, Bokeh, HoloViews, Panel, and Intake. A portion of every sale of Commercial Edition will directly fund open-source projects and education.



Conda signature verification

Conda signature verification ensures that when users obtain a package, or data about that package, they can know whether it is trustworthy and that the package comes from a reliable source and has not been tampered with.

This verification step eliminates many potential single points of failure in the software supply chain — substantially reducing the impact to customer systems from possible man-in-the-middle attacks, compromised mirrors or content distribution networks, TLS misconfiguration, and more. This reduces the likelihood of Anaconda technology compromising client systems and arms users with information about possible compromises.


Compliance with the Anaconda Terms of Service

As a response to the dramatic increase in usage and adoption of Python and Anaconda among commercial users over the last few years, we’ve updated our Terms of Service. Moving forward, we are asking commercial users who rely on our packaging & distribution efforts to purchase one of our commercial offerings.


  • 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.


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.

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.

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 histor

  •  Organized, searchable package metadata

  • Compliant for commercial use according to the Anaconda Terms of Service


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

  • 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 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.


  • Enterprise Edition

The end-to-end data science platform

Our enterprise platform is a comprehensive foundation for any organization that wants to use data science and machine learning to make better decisions and build differentiating solutions.


Work with your tool of choice. Access Jupyter notebooks, RStudio, and popular IDEs within Enterprise Edition. Choose from samples and preconfigured projects. AE projects are automatically containerized so they can be moved between environments with ease.


Build and refine models as a team in a version and source-controlled environment. Focus on building models rather than spending time creating processes and defining spaces to work together. Simply log onto the platform through your browser and work on projects in your preferred environment.


Maintain enterprise security and protect your data by mirroring Anaconda’s repository onto your own infrastructure. Screen packages and monitor utilization through an admin dashboard, controlling user access and tracking package, project, and model deployment.


Sidestep the DevOps bottleneck and deploy models with just one click. Enterprise Edition accelerates time to production with deployment to pre-provisioned resources and takes care of load-balancing, DNS configuration, and centralized administration of deployed apps.

Platform at a glance

Built off of the most popular open-source data science platform, Enterprise Edition enables organizations to scale data science and machine learning capabilities.


Designed for you

An enterprise data science and ML platform should adapt to fit the unique needs of every organization. That’s why we designed Enterprise Edition to integrate with multiple tools and data sources.

We understand data scientists need versatile tools to maximize creative problem-solving and respond to the dynamic needs of an organization’s decision-makers and customers. Enterprise Edition brings together the most powerful data science tooling from open source in a flexible platform built to thrive in both cloud and air-gapped environments.

AI, enabled

Anaconda Enterprise automates your organization’s AI pipelines from laptops to training clusters to production clusters with ease: with no headaches, no IT nightmares. Anaconda Enterprise enables you to automate the undifferentiated heavy-lifting, the 95% glue code that prevents organizations from rapidly training and deploying models at scale.

Your data scientists can forget about DevOps and software engineering, and instead focus on the areas where they can bring the biggest business impact. One platform provides them all of the tools they need to connect, share, and deploy data science projects.

Get started with sample projects

Anaconda Enterprise facilitates machine learning and deep learning by enabling you to develop, train, and deploy models. You can also use Anaconda Enterprise to create APIs to query and score your deployed models.

To help get you started, Anaconda Enterprise includes several sample notebooks for common repetitive tasks. You can access them from the gallery of sample projects.

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