flyteorg/flyte
Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s — in pure Python with async/await, also other languages (rust, go and ts)
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 5 days ago, with 338 contributors on GitHub.
Peaked at #42 in the weekly ranking the week of Aug 9, its best in the past year.
Use Cases & Benefits
- Orchestrates scalable, reproducible AI and data workflows using Kubernetes for distributed processing and resource management.
- Enables strong typing, immutability, and dynamic workflows to ensure reliable, maintainable, and adaptable pipeline execution.
- Use for building production-grade machine learning pipelines that require parallelism, caching, and failure recovery.
- Use for managing complex data science workflows with multi-language support and seamless cloud or on-premises deployment.
- Use for scheduling and monitoring AI workflows with integrated data lineage, notifications, and GPU acceleration.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
:building_construction: :rocket: :chart_with_upwards_trend:
Flyte is an open-source orchestrator that facilitates building production-grade data and ML pipelines. It is built for scalability and reproducibility, leveraging Kubernetes as its underlying platform. With Flyte, user teams can construct pipelines using the Python SDK, and seamlessly deploy them on both cloud and on-premises environments, enabling distributed processing and efficient resource utilization.
Write code in Python or any other language and leverage a robust type engine.
Either locally or on a remote cluster, execute your models with ease.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+635 stars over 90 days across 14 snapshot days; best day +24 on Aug 30.
Forks
916+48
Open issues
196+27
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| morluto/rea | 450.0K | +22.9K | 75 | 16 days ago |
| vercel-labs/agent-desktop | 21.4K | +8.7K | 75 | 5 days ago |
| milind-soni/OpenMausBot | 20.6K | +8.4K | 75 | today |
| stablyai/orca | 121.4K | +6.7K | 75 | today |
| thedotmack/claude-mem | 115.8K | +4.7K | 75 | today |
| flyteorg/flyte | 7.8K | — | 60 | 5 days ago |
| Category median | 115.8K | +8.4K | 75 | — |
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