flytekit and flyte-sdk
Flytekit is the official Python SDK for developing and submitting tasks to Flyte, while flyte-sdk appears to be an alternative or experimental Python client library that never achieved adoption in the ecosystem.
About flytekit
flyteorg/flytekit
Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.
This is a Python library for developers to define and manage data processing tasks and workflows. It takes your Python functions and orchestrates them into robust, scalable workflows. This is for software engineers and data scientists building complex, automated data pipelines.
About flyte-sdk
flyteorg/flyte-sdk
Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference — in pure Python with async/await.
Reliably manage and run complex machine learning workflows and agents at scale. You define your ML pipelines, models, and agents in Python code, and this system orchestrates their execution, ensuring tasks are completed efficiently. This is ideal for machine learning engineers, data scientists, and MLOps professionals who need to build and deploy robust ML solutions.
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