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.

Visualise your Kedro data and machine-learning pipelines and track your experiments.

A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)

Examples of data science projects created with Kedro.

First-party plugins maintained by the Kedro team.

Plugins, extensions, case studies, articles, and video tutorials for Kedro

Репозиторий для открытого курса «Промышленная эксплуатация моделей машинного обучения»

Templates for your Kedro projects.

Kedro Plugin to support running workflows on Kubeflow Pipelines

A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and serve kedro pipeline

Kedro plugin to support running workflows on Microsoft Azure ML Pipelines

Kedro Plugin to support running workflows on GCP Vertex AI Pipelines

A kedro plugin to use pandera in your kedro projects

Wind Power Forecasting using Machine Learning techniques.

Using ChatGPT to build a Kedro ML pipeline and Streamlit frontend

kedro cli plugin for generating a static kedro viz site (html, css, js) that can be deployed on many serverless tools.

Kedro Plugin to support running pipelines on Kubernetes using Airflow.

Find documentation and a template project for delivering Kedro training.

Anomaly Detection Pipeline with Isolation Forest model and Kedro framework

Template for multi-modal machine learning in healthcare using Kedro. Combine reports, tabular data and images using various fusion methods.

It's the Complete Beginner's Guide to Kedro! See the video here: https://youtu.be/x97ChYDd12U

Kedro Plugin to support running pipelines on AWS SageMaker.

Create your own birdsong logger, powered by BirdNET-Tiny.

Kedro plugin to support running pipelines on Dagster

kedro plugin to automatically construct pipelines using pytest style pattern matching

Kedro Wings automatically creates catalog entries to simplify Kedro pipeline writing. See the video here: https://www.youtube.com/watch?v=p4ELo1tqbYY

Cryptocurrency forecasting 📈 training and serving models made automatic

A GitHub Action to lint, test, build-docs, package, and run your kedro pipelines. Supports any Python version you'll give it (that is also supported by pyenv).

Kedro gRPC Server is a Kedro plugin that creates a gRPC server for triggering and monitoring pipeline runs using a general-purpose RPC framework gRPC

Hands on workshop "Refactor your Jupyter notebooks into maintainable data science code with Kedro"