Anaconda Documentation#

Whether you want to build data science/machine learning models, deploy your work to production, or securely manage a team of engineers, Anaconda provides the tools necessary to succeed. This documentation is designed to aid in building your understanding of Anaconda software and assist with any operations you may need to perform to manage your organization’s users and resources.

Capabilities#

The following table lists the capabilities available for each tier of Anaconda. Depending on your set of problems, one bundle of capabilities may be better suited to your needs.

Note

Use of Anaconda’s offerings at an organization of 200 or more employees or contractors requires a Business or Enterprise license. Further, a Business or Enterprise license is always required for any individual or entity that is embedding, mirroring, or providing third parties access to our products. For more information, see our Terms of Service.

Capabilities

Free

Starter

Pro

Business

Enterprise

Distribution & Packages

Yes

Yes

Yes

Yes

Yes

Navigator

Yes

Yes

Yes

Yes

Yes

Anaconda AI Navigator (beta)

Yes

Yes

Yes

Yes

Yes

Anaconda Toolbox in Excel (beta)

Yes

Yes

Yes

Yes

Yes

Anaconda Code (beta)

Yes

Yes

Yes

Yes

Yes

Anaconda Community

Yes

Yes

Yes

Yes

Yes

Cloud Notebooks

5GB

10GB

20GB

20GB

Unlimited

Anaconda Assistant

30 daily chats

60

120

120

Unlimited

Anaconda Learning

Limited

Yes

Yes

Yes

Yes

Curated Repository

Yes

Yes

Yes

Signature Verification

Yes

Yes

Yes

CVE Visibility

Yes

Yes

Policy Filters

Yes

Yes

Virtual Channels

Yes

Yes

Site License

Yes

Custom

On-prem/Air-gap

Implementation fee

Implementation fee

Collaboration

Yes

Deployment

Yes


Distribution & Packages#

The Anaconda Distribution installer provides users with conda–the environment and package manager–and the Anaconda Distribution, a Python data science distribution of over 300 popular data science and machine learning packages.

The Miniconda installer is a lightweight version of the Anaconda Distribution installer that only provides conda, its dependencies, and a few other select packages.

Anaconda’s public package repository, repo.anaconda.com, provides 8,000+ open-source data science and machine learning packages. Users can install and update these packages on all major operating systems and architectures using conda.

Anaconda AI Navigator#

Anaconda AI Navigator is a desktop application from Anaconda that enables you to browse, download, and run Generative AI Models directly on your device. It features a user-friendly interface to guide you through our catalog of LLMs with various parameter counts, sizes, and capabilities so you can find the right model for your specific device—all in a secure and private desktop environment. This tool allows you to experiment with and leverage these models to meet your specific use cases and organizational requirements.

Anaconda Toolbox in Excel #

Anaconda Toolbox is an Excel add-in that makes Python accessible from your spreadsheets, even if you’re not an expert. Quickly generate, save, and share code across Excel and Notebooks, create visualizations, and get help from our Anaconda Assistant, learning Python as you go.

Anaconda Code #

Anaconda Code empowers you to write Python code and run it locally, directly within Excel. This gives you flexibility and control over the Python environment in your workbook, allowing you to add and remove packages as needed, all while keeping code and data securely within your workbook.

Anaconda Community#

Engage with others in the Anaconda Community Forum and learn the basics and beyond with instructor-guided walkthroughs and lessons from Anaconda Learning.

Cloud Notebooks#

Anaconda Notebooks allows anyone, anywhere to begin their data science journey. Spin up awesome data science projects directly from your browser with all the packages and computing power you need.

Anaconda Assistant#

Write and debug code, analyze data, and visualize results with Anaconda Assistant, available in cloud notebooks and local notebooks.

Anaconda Learning#

Master the foundations of data science through a full library of structured, on-demand courses. Code along with your course instructors, develop projects, and save your progress directly inside Anaconda Learning.

Curated Repository#

Access Anaconda’s curated premium repository, designed to support your business or enterprise with tokenized access and a guaranteed uptime Service Level Agreement (SLA).

Signature Verification#

Signature verification certifies the integrity and authenticity of packages downloaded from the Anaconda Repository.

CVE Visibility#

View CVE (Common Vulnerabilities and Exposures) data associated with your channels’ packages. Anaconda regularly pulls its CVE databases from the National Vulnerability Database (NVD) and the US National Institute of Standards and Technology (NIST) to minimize the risk of vulnerable software in our applications and web pages. Anaconda has an extensive and well-established process for curating CVEs, assessing whether or not packages that Anaconda built are affected by any CVEs, determining which versions in our repository are affected, and mitigating the vulnerability.

Policy Filters#

Apply policy filters to a channel to restrict the available packages that channel can source. You can filter packages by license, Common Vulnerabilities and Exposures (CVE) score, CVE status, package age, and by using the conda spec.

Virtual Channels#

Customize virtual copies of Anaconda-curated and -maintained repositories for your organization with policy filters, allowing for multiple variances of a repository’s package set.

Site License#

Large organizations with thousands of members can purchase a site license to provide access to all users in the organization with a single license. For more information, see site license.

On-prem/Air-gap#

Enable governance and security compliance for your users in a dedicated, on-premise artifact repository that can be installed on your infrastructure, in your private cloud, or made available through a managed service implementation.

Collaboration#

Share your projects with authorized users for increased collaboration on enterprise-level efforts. Connect to an external version control repository and fine-tune user access on the individual project and repository level.

Deployment#

Publish your interactive data visualizations, live notebooks, and machine learning models in a self-contained deployment with all the necessary dependencies. View activity and system logs to gain insights into your user services and troubleshoot issues.