Data science & ML platforms · Anaconda, Inc.

Anaconda

Python/R distribution and package management platform widely used as the base environment for data science work.

Visit Anaconda Alternatives

Anaconda is best known as a Python and R distribution bundling package and environment management (via conda) for data science and machine learning work, historically the default local setup for many analysts and data scientists. The company has expanded around this core into Anaconda Core (team/business package and environment management), Anaconda Platform (AI workspaces, orchestration, and deployment for organizations), and add-on products for AI security and coding assistance. Individual use of the free distribution remains self-hosted on a local machine, while paid tiers add centralized package governance, security scanning, and cloud-hosted workspaces for teams. Anaconda's own distribution terms are commercial rather than open source, even though most of the packages it distributes are themselves open source.

At a glance

Vendor Anaconda, Inc.
Pricing model Free tier + paid plans
Free tier Yes
Deployment Cloud, Self-hosted
Open source No
Best for Data scientists and teams needing managed Python/R environments and package governance.

Pricing

Free tier for individual package/environment management; paid per-user tiers add team governance, with custom pricing for larger deployments.

Plan Price Notes
Free Free basic Python environments and package management
Starter $15/user/month Anaconda Core team tier
Business $50/user/month Anaconda Core business tier
Custom Contact sales on-premises or advanced deployment needs

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features

  • Conda package and environment management
  • Curated repository of data science/ML packages
  • Local (self-hosted) and cloud-hosted workspaces
  • Package governance and security scanning (paid tiers)
  • Jupyter notebook environments
  • Team collaboration and access controls

Integrations

Profile last reviewed September 21, 2026

Alternatives

H2O.ai Open-source machine learning library and framework, paired with commercial enterprise AutoML and MLOps products. KNIME Open-source visual workflow platform for data prep, machine learning, and analytics automation. Dataiku Collaborative platform spanning data preparation and machine learning, used by both analysts and data scientists.

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Terms to know

Machine learning Building models that learn patterns from data to make predictions or decisions, rather than following hand-coded rules. Exploratory data analysis An open-ended first pass through a dataset to understand its structure and spot patterns before formal analysis.

Related guides

How to choose a data science & ML platform The decisions that matter are who builds the models, how automated the modeling should be, and whether you want a cloud-native platform or a portable one.