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A Python library for creating fast, repeatable and self-documenting data analysis pipelines.

proof is a Python library for creating optimized, repeatable and self-documenting data analysis pipelines. proof was designed to be used with the agate data analysis library, but can be used with numpy, pandas or any other method of proces
Information
Category: Python / Data Analysis
Watchers: 11
Star: 225
Fork: 22
Last update: Aug 9, 2022
Resource links
http://proof.rtfd.org
https://github.com/wireservice/proof
proof is a Python library for creating optimized, repeatable and self-documenting data analysis pipelines.

proof was designed to be used with the agate data analysis library, but can be used with numpy, pandas or any other method of processing data.

Important links:

* Documentation:    http://proof.rtfd.org
* Repository:       https://github.com/wireservice/proof
* Issues:           https://github.com/wireservice/proof/issues

Contents

    calebwin Pipelines is a language for high-level data analysis.
    luontola Testing framework for Go. Allows writing self-documenting tests/specifications, and executes them concurrently and safely isolated. [UNMAINTAINED]
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    combust MLeap: Deploy Spark Pipelines to Production
    cgarciae Concurrent data pipelines in Python >>>
    avito-tech Framework for creating efficient data processing pipelines
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    yardenshafir Documenting system information classes and their uses
    fluxcd Documenting the GitOps principles & other GitOps WG
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