Get Started

Welcome to Hamilton’s documentation!

www.tryhamilton.dev

Before diving in, we highly recommend you try Hamilton in your browser at https://www.tryhamilton.dev. It allows you to:

1. run python in the browser, so you can get a feel for the basics of Hamilton without installing anything!

2. it includes various examples that you can run and modify.

3. it represents an easy hands-on introduction to Hamilton that should get you comfortable with the framework and its basic capabilities.

Get started with Hamilton locally

The following section of the docs will teach you how to install Hamilton and get started with your own project.

• Why use Hamilton?
  • Comparison to Other Frameworks
    • Orchestration Systems
    • Feature Stores
    • Data Science Ecosystems/ML platforms
    • Registries / Experiment Tracking
    • Python Dataframe/manipulation Libraries
    • Python “big data” systems
• Install
  • Installing with pip
  • Installing with conda
  • Installing from source
• Your First Dataflow
  • Write transformation functions
  • Run your dataflow
• Learning Resources
  • 📒 User Guide Documentation
  • 📚 Reference Documentation
  • ✍ tryhamilton.dev
  • 🛠 Dataflow Hub
  • 💡 Blog
  • 👋 Slack
  • 📣 Talks
  • 📰 External Blogs
  • 🎙 Podcasts
• Contributing
• License
  • Usage analytics & data privacy