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.

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

First-party plugins maintained by the Kedro team.

Templates for your Kedro projects.

Kedro Plugin to support running workflows on Kubeflow Pipelines

Kedro plugin to support running workflows on Microsoft Azure ML 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

A kedro plugin to use pandera in your kedro projects

Kedro Plugin to support running workflows on GCP Vertex AI Pipelines

Using ChatGPT to build a Kedro ML pipeline and Streamlit frontend

Kedro Plugin to support running pipelines on Kubernetes using Airflow.

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

Wind Power Forecasting using Machine Learning techniques.

Anomaly Detection Pipeline with Isolation Forest model and Kedro framework

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

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

kedro plugin to automatically construct pipelines using pytest style pattern matching

Kedro Plugin to support running pipelines on AWS SageMaker.

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

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