Contents

kedro 1.2.0

0

Kedro helps you build production-ready data and analytics pipelines

Kedro helps you build production-ready data and analytics pipelines

Stars: 10761, Watchers: 10761, Forks: 994, Open Issues: 182

The kedro-org/kedro repo was created 6 years ago and the last code push was 3 hours ago.
The project is extremely popular with a mindblowing 10761 github stars!

How to Install kedro

You can install kedro using pip

pip install kedro

or add it to a project with poetry

poetry add kedro

Package Details

Author
Kedro
License
Apache Software License (Apache 2.0)
Homepage
None
PyPi:
https://pypi.org/project/kedro/
Documentation:
https://docs.kedro.org
GitHub Repo:
https://github.com/quantumblacklabs/kedro

Classifiers

No  kedro  pypi packages just yet.

Errors

A list of common kedro errors.

Code Examples

Here are some kedro code examples and snippets.

GitHub Issues

The kedro package has 182 open issues on GitHub

  • Added preview_fn argument to LLMContextNode
  • Do not load all pipelines when only one is run.
  • Update --groupby for Kedro deployment guide
  • Refactor test_starters into smaller test files
  • Check for cookiecutter runtime and call uvx if missing
  • Revise Spark and Delta Lake interaction docs
  • Release Kedro 1.2.0
  • %run_viz does not work properly in Databricks notebooks
  • Documentation for Parameter Validation framework
  • Tests for parameter validation framework
  • Implement parameter validation framework
  • Data quality management for Kedro pipelines
  • Explore support for LLM streaming mode in Kedro pipelines
  • Record a technical demo of agentic workflow
  • Tracing with OpenTelemetry

See more issues on GitHub

Related Packages & Articles

clearml 2.1.3

ClearML - Auto-Magical Experiment Manager, Version Control, and MLOps for AI