Data Growth is a Django application that helps to gather data in an organized way. With it you can declare pipelines for the data gathering and preprocessing as well as pipelines for filtering and redistribution.
You can install Datagrowth with your Django application by running
pip install datagrowth
Currently there are two major use cases. The Resources provide a way to uniformly gather data from very different sources. Configurations are a way to store and transfer key-value pairs, which your code can use to act on different contexts.
Follow these guides to get an idea how you can use Datagrowth:
There is a Django mock project inside the tests directory of the repository. You can run these tests by running this inside that directory:
python manage.py test
Alternatively you can execute the tests against multiple Django versions by running:
tox
FAQs
Data engineering tools to create data mash ups using Django
We found that datagrowth 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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