Flyte
by Community
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
OSS
Flyte
Added 1 June 2026
Overview
Flyte is an open-source orchestration platform for data and machine learning pipelines. It manages workflows, versioning, and resource allocation across compute clusters using a Go-based backend.
Best for
Best for
Teams building and scaling production ML pipelines on Kubernetes
Use cases
- Automate multi-step ML training and evaluation pipelines
- Schedule and monitor data processing workflows at scale
- Version and reproduce complex AI experiments
Notes
Flyte is an open-source orchestration platform for data and machine learning pipelines. It manages workflows, versioning, and resource allocation across compute clusters using a Go-based backend.
7,056 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.
Use cases
- Automate multi-step ML training and evaluation pipelines
- Schedule and monitor data processing workflows at scale
- Version and reproduce complex AI experiments
Pros
- Strong workflow versioning and reproducibility
- Handles dynamic, complex dependencies between tasks
- Active community with 7,000+ GitHub stars
Cons
- Steep learning curve for new users unfamiliar with Kubernetes
- Limited native support for non-Kubernetes environments
- Documentation can be sparse for advanced use cases
Indexed from awesome-llmops and enriched against its public facts.
Pros
- Strong workflow versioning and reproducibility
- Handles dynamic, complex dependencies between tasks
- Active community with 7,000+ GitHub stars
Cons
- Steep learning curve for new users unfamiliar with Kubernetes
- Limited native support for non-Kubernetes environments
- Documentation can be sparse for advanced use cases
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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