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Open-source Python framework for creating reproducible, maintainable and modular data science code
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What is Kedro?

It is an open-source Python framework for creating reproducible, maintainable and modular data science code. It borrows concepts from software engineering best-practice and applies them to machine-learning code; applied concepts include modularity, separation of concerns and versioning.
Kedro is a tool in the Frameworks (Full Stack) category of a tech stack.
Kedro is an open source tool with GitHub stars and GitHub forks. Here’s a link to Kedro's open source repository on GitHub

Who uses Kedro?


4 developers on StackShare have stated that they use Kedro.

Kedro Integrations

Python, Databricks, Argo, Kubeflow, and AWS Batch are some of the popular tools that integrate with Kedro. Here's a list of all 7 tools that integrate with Kedro.

Kedro's Features

  • Open-source Python framework
  • Creating reproducible, maintainable and modular data science code

Kedro Alternatives & Comparisons

What are some alternatives to Kedro?
Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.
Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
.NET is a developer platform made up of tools, programming languages, and libraries for building many different types of applications.
It is a web application framework with expressive, elegant syntax. It attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as authentication, routing, sessions, and caching.
Android SDK
Android provides a rich application framework that allows you to build innovative apps and games for mobile devices in a Java language environment.
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Related Comparisons
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Kedro's Followers
4 developers follow Kedro to keep up with related blogs and decisions.