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A tool for building feature stores - Transform your raw data into beautiful features.
Readme
A tool for building feature stores. Transform your raw data into beautiful features.
Source | Downloads | Page | Installation Command |
---|---|---|---|
PyPi | Link | pip install butterfree |
Develop | Stable | Documentation | Sonar |
---|---|---|---|
Made with :heart: by the MLOps team from QuintoAndar
This library supports Python version 3.7+ and meant to provide tools for building ETL pipelines for Feature Stores using Apache Spark.
The library is centered on the following concetps:
To understand the main concepts of Feature Store modeling and library main features you can check Butterfree's Documentation, which is hosted by Read the Docs.
To learn how to use Butterfree in practice, see Butterfree's notebook examples
Butterfree depends on Python 3.7+ and it is Spark 3.0 ready :heavy_check_mark:
PyPI hosts reference to a pip-installable module of this library, using it is as straightforward as including it on your project's requirements.
pip install butterfree
Or after listing butterfree
in your requirements.txt
file:
pip install -r requirements.txt
Dev Package are available for testing using the .devN versions of the Butterfree on PyPi.
All contributions are welcome! Feel free to open Pull Requests. Check the development and contributing guidelines described here.
FAQs
A tool for building feature stores - Transform your raw data into beautiful features.
We found that butterfree demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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