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Start with the essentials: Anaconda’s public mission, organization type, programs and the recorded sources behind this profile.
Anaconda Inc., a corporate entity holding the Anaconda platform.
Anaconda is a trusted AI-native development platform founded in 2012, providing Python package management, AI orchestration, and deployment tools across industries. It supports data scientists, AI engineers, and IT teams with secure, scalable open-source AI workflows.
Read-only public captures of Anaconda’s homepage. Screenshots are dated, never live embeds, and open full-screen.
Nonprofit profiles focus on the public information that helps readers understand an organization's role: mission, governance, funding context, programs and reporting.
Short answers to the questions buyers and builders commonly ask about Anaconda. Each answer cites the shared ledger below, where every source is listed once.
Trusted Python package management with thousands of validated packages, automated security · Build, run, and scale production AI workflows with full traceability, built-in observabili · Secure, orchestrate, and accelerate data and AI from experimentation to production · Discover, share, and install packages from a community repository
Anaconda Core Trusted Python package management to help solve complex dependency challenges with thousands of validated packages, automated security scanning, and intelligent conflict resolution that just works.
Millions of users globally, including developers and contributors, global organizations, a · Data scientists, AI engineers, IT and security teams, technical and business leaders, stud · AI and data science teams · Data scientists
Millions Rely on Anaconda to Advance Their AI Initiatives Users Globally Developers and contributors Global Organizations Fortune 500 companies
Prototype to production AI development, including secure orchestration and acceleration of · Building and deploying AI-native applications across industries including finance, manufac · Python, data science, and AI development · Integral part of an AI platform for data science and Python users who value the open-sourc
Secure, orchestrate, and accelerate data and AI at scale, from first experiment to production.
Users within organizations with 200+ employees/contractors (including Affiliates) require
Users within organizations with 200+ employees/contractors (including Affiliates) require a paid Business license. Academic and non-profit research institutions may qualify for exemptions.
Pre-packaged NVIDIA CUDA Toolkit for Conda enabling GPU-accelerated Python computing; Anac · AWS, Microsoft Azure, Google Cloud, Databricks, Snowflake; Jupyter, JupyterLab, VS Code, H · Supports both conda and pip package managers · Microsoft and Snowflake have embedded Anaconda into their data science and ML products
Pre-packaged NVIDIA CUDA Toolkit for Conda—enabling seamless GPU-accelerated Python computing with curated libraries and tools.
Four on-prem deployment options: on your premises, private cloud, air-gapped environments, · Cloud, on-premises, and air-gapped/offline environments · Custom enterprise installers distributed centrally with pre-approved, policy-compliant con
Four deployment options: - On your premises - Private cloud - Air-gapped environments - Managed service (single-tenant cloud)
This profile connects the jobs Anaconda is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
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Founded in 2012 by Peter Wang and Travis Oliphant · Operated by Anaconda Inc. · Mission as trusted foundation for AI-native development
Trusted Python package management with thousands of validated packages, automated security scanning, and intelligent conflict resolution.
Build, run, and scale production AI workflows with full traceability, built-in observability, and consistent performance.
Prototype to production AI development, including secure orchestration and acceleration of data and AI at scale.
AI Orchestration capability was formerly Outerbounds.
Cloud-hosted Python packages, Notebooks environment, and cloud-based development with high-compute access.
Four on-prem deployment options: on your premises, private cloud, air-gapped environments, and managed service (single-tenant cloud).
ISO/IEC 27001:2022 certified, validated by independent audit covering security controls, operational discipline, and infrastructure protection.
Users within organizations with 200+ employees/contractors (including Affiliates) require a paid Business license; academic and non-profit research institutions may qualify for exemptions.
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
A concise history of launches, product changes and company milestones. Events appear only when a dated source supports what changed.
This profile is being checked for dated launches, releases and major company changes. Nothing appears here until the exact date and event can be verified from a recorded source.
Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
These tools share a workflow, capability or audience with Anaconda. They may complement it rather than replace it, and are not presented as integrations or endorsements.
Millions of users globally, including developers and contributors, global organizations, and Fortune 500 companies.
Pre-packaged NVIDIA CUDA Toolkit for Conda enabling GPU-accelerated Python computing; Anaconda Toolbox adds Python and curated open-source packages to Excel.
Premium Support offers faster response times, extended hours, and direct access to Professional Services Hours; Anaconda Learning provides on-demand data science courses.
Anaconda Inc., a corporate entity holding the Anaconda platform.
Anaconda
2012, by Peter Wang and Travis Oliphant
Trusted foundation for AI-native development
Secure, orchestrate, and accelerate data and AI from experimentation to production
Building and deploying AI-native applications across industries including finance, manufacturing, and healthcare
Data scientists, AI engineers, IT and security teams, technical and business leaders, students, researchers, and academics
Windows, macOS, Linux (x86/AARCH64/PPC64LE/s390x)
Python, R, C/C++, Rust, Go, and more (via Conda)
Free Python distribution for data science with Python (Anaconda Distribution), including Conda and Anaconda Navigator
Cloud, on-premises, and air-gapped/offline environments
AWS, Microsoft Azure, Google Cloud, Databricks, Snowflake; Jupyter, JupyterLab, VS Code, Hex, Deepnote, Google Colab; GitHub Actions, GitLab CI/CD, Jenkins, CircleCI, Azure DevOps; Docker, Kubernetes, Red Hat OpenShift, Podman; Airflow, Met
Continuous CVE tracking via NVD and NIST, package signing, policy filters, and SPDX 2.2.1 SBOMs for supply chain visibility
Python distribution and package management platform
Python, data science, and AI development
AI and data science teams
Anaconda Distribution — conda, Python, Anaconda Navigator, and hundreds of data science and machine learning packages in a pre-built base environment
Miniconda — conda, Python, and their dependencies in a minimal base environment
Discover, share, and install packages from a community repository
Self-hosted package security and management for organizations
Cloud platform for teams to collaborate, govern packages, and develop AI workflows
Download and host AI models locally, and build and run AI agents
Custom enterprise installers distributed centrally with pre-approved, policy-compliant configurations
Supports both conda and pip package managers
Simplify, safeguard, and accelerate AI value with open source
Anaconda
