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dagster-ray

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Ray integration for Dagster.

dagster-ray enables working with distributed Ray compute from Dagster pipelines, combining Dagster's excellent orchestration capabilities and Ray's distributed computing power together.

Learn more in the docs

🚀 Key Features

  • 🎯 Run Launchers & Executors: Submit Dagster runs or individual steps by submitting Ray jobs
  • 🔧 Ray Resources: Automatically create and destroy ephemeral Ray clusters and connect to them in client mode
  • 📡 Dagster Pipes Integration: Submit external scripts as Ray jobs, stream back logs and rich Dagster metadata
  • ☸️ KubeRay Support: Utilize RayJob and RayCluster custom resources in client or job submission mode (tutorial)
  • 🏭 Production Ready: Tested against a matrix of core dependencies, integrated with Dagster+
  • ⚡ Instant Startup: Leverage RayCluster with Cluster Sharing for lightning-fast development cycles with zero cold start times (intended for development environments)

📦 Installation

pip install dagster-ray

📚 Docs

📖 Full Documentation

  • Tutorial: Step-by-step guide with examples
  • API Reference: Complete API reference
  • Changelog: History of changes and links to docs for older dagster-ray releases.

👥 Who is using dagster-ray?

These happy users are running dagster-ray in production:

🤝 Contributing

Contributions are very welcome! See CONTRIBUTING.md for details.

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