xedro 0.17.6

Kedro helps you build production-ready data and analytics pipelines

Stars: 10760, Watchers: 10760, Forks: 994, Open Issues: 181

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 10760 github stars!

How to Install xedro

You can install xedro using pip

pip install xedro

or add it to a project with poetry

poetry add xedro

Package Details

Author

QuantumBlack Labs

License

Apache Software License (Apache 2.0)

Homepage

https://github.com/quantumblacklabs/kedro

PyPi:

https://pypi.org/project/xedro/

GitHub Repo:

https://github.com/quantumblacklabs/kedro

Classifiers

Related Packages

Errors

A list of common xedro errors.

Code Examples

Here are some xedro code examples and snippets.

GitHub Issues

The xedro package has 181 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