Anaconda, Inc.

Founded 2012

Build, secure, and deploy machine learning and data science projects across diverse environments

Pricing model

Paid

You can use Anaconda to manage open-source packages, libraries, and environments for Python and R programming. It provides a secure foundation for developing machine learning models, running data science experiments, and transitioning projects into production. You can write and debug code using the built-in AI coding agent, test model safety and guardrails before deployment, and orchestrate automated workflows across cloud or on-premises servers. It also gives enterprise teams governance over package repositories and dependencies without breaking existing developer workflows.

What Anaconda, Inc. does

Install data science libraries and packagesCreate and switch between isolated virtual environmentsDebug script errors with a coding assistantVerify license compliance and security vulnerabilities in codeExecute automated machine learning training pipelinesDeploy AI models across hybrid cloud infrastructureAccess thousands of vetted open-source Python and R packagesCreate isolated environments to prevent package dependency conflictsUse Kilo coding agent across command-line interfaces and code editorsTest models, agents, and external connections before deploymentRun automated workflows across cloud, hybrid, and local serversRoute queries across hundreds of frontier and open-source modelsMaintain audit logs and governance policies for enterprise dependencies