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Brief

Anaconda

Data Science & AI Infrastructure (Not AdTech)

Anaconda simplifies data science and machine learning workflows by providing a unified platform for package management, environment setup, and deployment. It reduces friction for data scientists from experimentation to production.

Last updated Jun 23, 2026 by ATDb automated enrichment

Founded
2012
HQ
Austin, Texas, United States
Connections
7

At a glance

Employees
201-500
Funding
$24M
Revenue
$50M-$100M
6integrations

About

Market leader in Python/R data science distribution and environment management with 35M+ users globally

Anaconda is a data science and machine learning platform company best known for its widely-used Anaconda Distribution, which bundles Python, R, and over 1,500 data science packages into a single, easy-to-install environment. Founded in 2012 and headquartered in Austin, Texas, Anaconda has become the de facto standard for data science environment management, with over 35 million users globally. The company provides tools that simplify the setup, management, and deployment of data science workflows across individual, team, and enterprise environments. Anaconda's product portfolio extends beyond its free distribution to include Anaconda Business and Enterprise offerings, cloud-based notebook environments, and repository management solutions. Its conda package manager has become an industry standard for managing Python and R dependencies, particularly in scientific computing and machine learning contexts. The company also offers Anaconda.cloud and partnerships with major cloud providers to enable scalable data science workflows. It is important to note that Anaconda is not an AdTech company. Its relevance to advertising technology is indirect — data scientists and ML engineers at AdTech firms may use Anaconda tools for building predictive models, audience segmentation algorithms, or programmatic bidding systems. However, Anaconda itself operates in the data science infrastructure and developer tools space, not in advertising technology, media buying, or marketing platforms.

Business model

SaaS

Target market

Enterprise, Mid-Market, Individual Data Scientists

What they offer

  • Anaconda Distribution

    Free, open-source Python/R distribution bundling 1,500+ data science packages including NumPy, pandas, scikit-learn, and Jupyter

  • conda

    Open-source package and environment management system supporting Python, R, and other languages

  • Anaconda Business

    Team-oriented tier offering centralized package management, security controls, and collaboration features

  • Anaconda Enterprise

    Enterprise-grade platform with governance, compliance, private package repositories, and dedicated support

  • Anaconda.cloud

    Cloud-hosted notebooks and project sharing environment for collaborative data science

  • Miniconda

    Lightweight minimal installer for conda, allowing users to install only what they need

  • Anaconda Repository

    Private, on-premise or cloud-hosted package repository for secure package management in enterprise environments

Key features

Conda package and environment managerPre-built data science package bundlesCross-platform support (Windows, macOS, Linux)Jupyter Notebook integrationPrivate package repository managementEnvironment reproducibility and versioningGPU-accelerated computing supportSecurity vulnerability scanning for packages

Use cases

Setting up reproducible data science environmentsManaging Python and R package dependenciesBuilding and training machine learning modelsScientific computing and researchEnterprise ML model development and deploymentEducational data science curriculum deliveryCollaborative data science team workflows

Customer segments

Data Scientists and ML EngineersAcademic and Research InstitutionsEnterprise Data Science TeamsFinancial Services FirmsHealthcare and Life Sciences OrganizationsGovernment and Defense AgenciesTechnology Companies

Tech & specs

Technology stack

PythonRconda package managerJupyterDockerKubernetesREST APIsCUDA (GPU support)

Security & compliance

SOC 2CVE vulnerability scanningAir-gapped deployment supportRole-based access control (RBAC)

Deployment

CloudOn-premiseHybridLocal desktop

API

Yes

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