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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, Argo, Databricks, 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?
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.
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Kedro's Followers
5 developers follow Kedro to keep up with related blogs and decisions.