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Bonobo, a simple, modern and atomic extract-transform-load toolkit for python 3.5+.

Project description

Data-processing for humans.

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Bonobo is an extract-transform-load framework for python 3.5+ (see comparisons with other data tools).

Bonobo uses plain old python objects (functions, generators and iterators), allows to link them in a directed graph and execute them using a parallelized strategy, without having to worry about the underlying complexity.

Developpers can focus on writing simple and atomic operations, that are by-design easy to unit-test, while the framework focus on applying them concurrently to rows of data.

One thing to note: write pure transformations and you’ll be safe.

Bonobo is a young rewrite of an old python2.7 tool that ran millions of transformations per day for years on production, so as though it may not yet be complete or fully stable (please, allow us to reach 1.0), the basics are there.


Bonobo is under heavy development, we’re making the best efforts to keep the core as stable as possible but we also need to move forward. Please allow us to reach 1.0 stability and our sincere apologies for anything we’d break in the process (feel free to complain on issues, so we notice breakages we did not expect)


Documentation: http://docs.bonobo-project.org/

Issues: https://github.com/python-bonobo/bonobo/issues

Roadmap: https://www.bonobo-project.org/roadmap

Slack: https://bonobo-slack.herokuapp.com/

Release announcements: http://eepurl.com/csHFKL


Made with ♥ by Romain Dorgueil and contributors.

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