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Get Started with ML Workspace

Web-based IDE for machine learning and data science with preloaded libraries.

Getting Started

1

Read the official documentation

The ML Workspace team maintains comprehensive docs that cover installation, configuration, and common patterns.

Open ML Workspace Docs
2

Create an account

Visit the ML Workspace website to create your account and explore pricing options.

Visit ML Workspace
3

Review strengths, tradeoffs, and alternatives

Our full tool profile covers ML Workspace's strengths, weaknesses, pricing, and how it compares to alternatives.

View full profile

Best For

Teams needing a self-hosted, all-in-one solution for machine learning development.

Developers who prefer using Docker containers for their projects.

Data science teams looking to integrate Jupyter and VS Code in one environment.

Resources