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ANACONDA CORE

Most AI Projects Stall. Not Yours.​

While 80% of AI projects stall on dependency failures and compliance gaps, yours ships. We built Anaconda Core because AI teams shouldn’t have to choose between moving fast and staying secure.

Trusted by Organizations Building AI at Scale

A Governed Path from Pilot to Production

Secure your packages. Standardize your environments. Ship with the tools you already use.

1
Trusted Packages
2
Governed Environments
3
Consistent Deployment

Every Package Your Team Uses Is Trusted Before It Runs

4,000+ vetted Python packages and curated AI models with full provenance and traceability. Every package is scanned, signed, and policy-checked before it reaches any developer on any team using any tool. Security is built in from the start.

Validated packages across modern CPU and GPU architectures including Apple Silicon, ARM, and accelerated compute environments.

  • Every environment is reproducible and auditable
  • Proven and traceability across every AI workflow
  • Curated model catalog ready to deploy

What Works Locally Runs the Same in Production

The dev-to-prod gap is a foundation problem. Anaconda eliminates it. Environments, dependencies, and lineage travel with your code across hybrid, multi-cloud, and on-prem infrastructure. Build once. Deploy anywhere. No rebuilding, no drift. 

  • Reproducible environments across every deployment
  • Full lineage and artifact tracking at every step
  • No vendor lock-in across cloud or infrastructure

Your Developers Ship Faster With the Tools They Already Use

No new execution model. No forced migration. Your developers keep VSCode, Jupyter notebooks, desktop, and CLI. Pre-configured environments eliminate setup conflicts through one-command setup. They start coding in minutes. 

  • Pre-configured environments, ready in minutes
  • Works with your existing stack and workflows
  • One-command setup, no cloud console required

What's Included in Anaconda Core

Everything your team needs to secure packages, standardize environments, and ship fast.

1

Trusted Packages

Anaconda Distribution

Complete installer with 300+ packages: Python, conda, Jupyter, Navigator, AI Assistant. Download once, start coding immediately.

Miniconda

Lightweight installer with conda, Python, and essentials. Build custom environments. Add only the packages your project needs.

Default Channels

Packages built, tested, and security-assessed by Anaconda before every release. We have the right build for your architecture.

Custom Channels & Mirroring

Control your package distribution while supporting secure, reproducible environments across teams and infrastructure.

2

Governed environments
Vulnerability Tracking

Anaconda syncs with NVD and NIST to track CVEs across every package in your environment. Restrict vulnerable packages automatically before they reach production.

SSO and Usage Insights

One identity. Full visibility. Enterprise SSO with directory sync, plus usage insights on package adoption, vulnerability exposure, and resource utilization — so you act before problems reach production.

3

Consistent Deployment

Quick-Start Environments

Anaconda managed, ready-to-use environments for data analysis, machine learning, web development, and industry-specific workflows.

Environment Import/Export

Export any environment and reproduce it exactly — across teams, machines, or deployment targets. No configuration drift, no surprises.

Cross-Platform Deployment

Same installers and environments across Windows, macOS, Linux. Deploy to cloud, on-premises, or air-gapped infrastructure.

Keep Your Stack, Gain Control

Anaconda Core connects to the cloud platforms, notebooks, and AI development tools your team already relies on.

Cloud Platforms

  • AWS
  • Microsoft Azure
  • Google Cloud
  • Databricks
  • Snowflake

Notebooks

  • Jupyter
  • JupyterLab
  • VS Code
  • Hex
  • Deepnote
  • Google Colab

CI/CD

  • GitHub Actions
  • GitLab CI/CD
  • Jenkins
  • CircleCI
  • Azure DevOps

Container Workflows

  • Docker
  • Kubernetes
  • Red Hat OpenShift
  • Podman

Orchestration & Runtime Ecosystems

  • Airflow
  • Metaflow
  • Ray
  • Prefect
  • Kubeflow
  • Dagster

Enterprise AI Tooling

  • MLflow
  • Weights & Biases
  • Hugging Face
  • NVIDIA AI Enterprise
  • LangChain
  • OpenAI
  • Anthropic

Your Next AI Initiative Should Reach Production.

See how Anaconda Core gives your organization a secure, governed path from the first experiment to a running production model.
Get a Demo

Anaconda Core Frequently Asked Questions

A Governed Path from Pilot to Production

Secure your packages. Standardize your environments. Ship with the tools you already use.

1
Trusted Packages
2
Governed Environments
3
Consistent Deployment

Every Package Your Team Uses Is Trusted Before It Runs

4,000+ vetted Python packages and curated AI models with full provenance and traceability. Every package is scanned, signed, and policy-checked before it reaches any developer on any team using any tool. Security is built in from the start.

Validated packages across modern CPU and GPU architectures including Apple Silicon, ARM, and accelerated compute environments.

  • Every environment is reproducible and auditable
  • Proven and traceability across every AI workflow
  • Curated model catalog ready to deploy

What Works Locally Runs the Same in Production

The dev-to-prod gap is a foundation problem. Anaconda eliminates it. Environments, dependencies, and lineage travel with your code across hybrid, multi-cloud, and on-prem infrastructure. Build once. Deploy anywhere. No rebuilding, no drift. 

  • Reproducible environments across every deployment
  • Full lineage and artifact tracking at every step
  • No vendor lock-in across cloud or infrastructure

Your Developers Ship Faster With the Tools They Already Use

No new execution model. No forced migration. Your developers keep VSCode, Jupyter notebooks, desktop, and CLI. Pre-configured environments eliminate setup conflicts through one-command setup. They start coding in minutes. 

  • Pre-configured environments, ready in minutes
  • Works with your existing stack and workflows
  • One-command setup, no cloud console required