Nike-Inc/koheesio

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

⛔ [ARCHIVING ON 2026-11-01] One framework to develop, deploy and operate data workflows with Python and SQL.

The Lakehouse Engine is a configuration driven Spark framework, written in Python, serving as a scalable and distributed engine for several lakehouse algorithms, data flows and utilities for Data Products.

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

Fleak ZephFlow core engine

Fluent data pipelines for python and your shell

Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.