Contents

xedro 0.17.6

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Kedro helps you build production-ready data and analytics pipelines

Kedro helps you build production-ready data and analytics pipelines

Stars: 4857, Watchers: 4857, Forks: 546, Open Issues: 56

The kedro-org/kedro repo was created 2 years ago and was last updated 6 minutes ago.
The project is very popular with an impressive 4857 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

No  xedro  pypi packages just yet.

Errors

A list of common xedro errors.

No  xedro  errors just yet.

Code Examples

Here are some xedro code examples and snippets.

No  xedro  code examples just yet.

GitHub Issues

The xedro package has 56 open issues on GitHub

  • PickleDataset is not deepcopiable for kedro>=0.17.6
  • Overriding CLI commands is not well-documented
  • Fix inconsistencies in community-developed plugins
  • Document distribution of Kedro pipelines with Dask
  • Improve the readability of runner code ✏️
  • Update Modular Pipeline documentation and split Micropackaging into its own page
  • Update spaceflights tutorial to take advantage of modular pipeline features
  • Adding example 16 to the 01_data_catalog.md to show how to load csv f…
  • Leaked semaphore when using Dask within a Kedro pipeline
  • Running kedro install , kedro ipython or kedro jupyter notebook from my project root, I get No such command errors
  • Enhance support for parameterised SQL query datasets
  • s3fs acl argument is not supported
  • Auto-registration of pipelines
  • What should we do with unparseable requirements?
  • Allow new attributes to be added to DataSets

See more issues on GitHub

See Also

kedro 0.17.6

Kedro helps you build production-ready data and analytics pipelines