Dagster integration library for Ray
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dagster-ray
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.
[!NOTE] This project is ready for production use, but some APIs may change between minor releases.
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
RayJobandRayClustercustom resources in client or job submission mode (tutorial) - 🏭 Production Ready: Tested against a matrix of core dependencies, integrated with Dagster+
- ⚡ Instant Startup: Leverage
RayClusterwith Cluster Sharing for lightning-fast development cycles with zero cold start times (intended for development environments)
📦 Installation
pip install dagster-ray
📚 Docs
- Tutorial: Step-by-step guide with examples
- API Reference: Complete API reference
- Changelog: History of changes and links to docs for older
dagster-rayreleases.
👥 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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