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Data Refinery: transformating data

Project description

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Data Refinery

The main goal of the library is perform a Transformation over a data event. Supports a variety of functions typically used on machine learning and AI.

Development is oriented into a functional style avoiding side effects on transformations.


In console pip install data-refinery or python install from sources.

Usage example

from datarefinery.TupleOperations import wrap, keep, substitution
from datarefinery.CombineOperations import sequential

x2 = wrap(lambda x: x*2)

operation = sequential(keep(["name"]), substitution(["value"], x2))
(res, err) = operation({"name": "John", "value": 10})
print(res) # {"name": "John", "value": 20}


Visit complete documentation at


Python: 3.5, 3.6


Follow the steps on the how to contribute document.

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