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Write plain, async-native Python that orchestrates agents, data and ML pipelines, and inference — with the durability, reproducibility, and observability that production demands.
| Repository | What it is |
|---|---|
| flyteorg/flyte | The Flyte 2 control plane and backend live on main — scheduling, state, recovery, and the console. |
| flyteorg/flyte-sdk | The Python SDK — pure Python with async/await. pip install flyte |
| flyteorg/flyte-sdk-go | The Go SDK — interface with Flyte from other languages. |
# pip install flyte
import flyte
env = flyte.TaskEnvironment(name="hello")
@env.task
async def hello(name: str) -> str:
return f"Hello, {name}!"
if __name__ == "__main__":
flyte.init_from_config()
run = flyte.run(hello, name="world")
print(run.url)Show us some ❤️ by starring flyteorg/flyte!
Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference — in pure Python with async/await.
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.
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