Welcome to Kedro’s documentation!

Learn about Kedro

• Introduction to Kedro

• First steps
  • Set up Kedro
  • Create a new Kedro project
  • Kedro concepts

Tutorial and basic Kedro usage

• Next steps: Tutorial
  • Scenario
  • Get help
  • Terminology

• Visualisation with Kedro-Viz
  • Visualise the spaceflights project
  • Visualise charts in Kedro-Viz
  • Experiment tracking in Kedro-Viz

• Kedro for notebook users
  • Kedro and Jupyter Notebooks
  • Kedro as a data registry
• Resources
  • Frequently asked questions
  • Kedro glossary

Kedro projects

• Kedro project setup
  • Kedro starters
  • Dependencies
  • Lifecycle management with KedroSession
  • Project settings

• Configuration
  • Configuration
  • Credentials
  • Parameters
  • Advanced configuration

• Data Catalog
  • The Data Catalog
  • Kedro IO

• Nodes and pipelines
  • Nodes
  • Pipelines
  • Modular pipelines
  • The pipeline registry
  • Micro-packaging
  • Run a pipeline
  • Slice a pipeline

Advanced usage

• Extend Kedro
  • Common use cases
  • Custom datasets
  • Kedro plugins

• Hooks
  • Introduction

• Logging

• Integrations
  • Databricks integration
  • PySpark integration

• Development
  • Set up Visual Studio Code
  • Set up PyCharm
  • Kedro’s command line interface
  • Debugging
  • Automated Testing
  • Code formatting and linting

• Deployment
  • Deployment choices
  • Deployment guides

Contribute to Kedro

• Contribute to Kedro

API documentation

kedro	Kedro is a framework that makes it easy to build robust and scalable data pipelines by providing uniform project templates, data abstraction, configuration and pipeline assembly.
kedro_datasets	kedro_datasets is where you can find all of Kedro's data connectors.

Indices and tables

• Index

• Module Index