Kedro
UnclaimedAn open-source framework for building production-ready data engineering and data science pipelines.
Visit WebsiteTL;DR - Kedro
- Applies software engineering best practices to data and ML pipelines.
- Provides tools for pipeline visualization, data cataloging, and project standardization.
- Enables reproducible, maintainable, and modular data science and engineering code.
Pricing: Free forever
Best for: Individuals & startups
Pricing
Free
Kedro is completely free to use with no hidden costs.
About Kedro
Kedro is an open-source Python framework that applies software engineering best practices to the development of data and machine learning pipelines. It provides a structured approach to building reproducible, maintainable, and modular code, helping data scientists and engineers transition seamlessly from exploratory development to production.
The framework offers scaffolding for complex projects, standardizes code organization, and includes tools for pipeline visualization, data cataloging, and flexible deployment. By abstracting away tedious 'plumbing' tasks and automating dependency resolution, Kedro allows teams to focus on problem-solving and collaborate more effectively on data and ML initiatives.
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Kedro FAQ
Kedro is an open-source Python framework hosted by the Linux Foundation (LF AI & Data). It uses software engineering best practices to help you build production-ready data engineering and data science code.
Kedro is an open-source project and is free to use. You can install it using pip or conda.
Yes, Kedro is an open-source framework and is completely free to use.
Kedro is for data scientists, machine learning engineers, and data engineers who want to build production-ready, reproducible, and maintainable data and machine learning pipelines. It's also beneficial for product leads whose teams need to standardize their data science workflows.