kedro

A Python framework for creating maintainable and modular data science code.

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

Examples of data science projects created with Kedro.

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

Kedro-Airflow makes it easy to deploy Kedro projects to Airflow.

Kedro-Docker makes it easy to package Kedro projects with Docker.

Репозиторий для открытого курса «Промышленная эксплуатация моделей машинного обучения»

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 pipelines on Kubernetes using Airflow.

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 React component library for building web applications the QuantumBlack way

Find documentation and a template project for delivering Kedro training.

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 workflows on GCP Vertex AI Pipelines

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

Using ChatGPT to build a Kedro ML pipeline and Streamlit frontend

Kedro plugin to support running workflows on Microsoft Azure ML Pipelines

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