A framework for managing data integration processes and their data
ProcessTracker - Python
Data integration process management made easy!
This is the Python implementation of the ProcessTracker framework. ProcessTracker builds a standard framework that is tool agnostic. If you are working with data integration/cleansing processes within Python (i.e. using PySpark, Pandas, etc.) then this framework can help manage dependencies between processes and provide auditing capabilities without having to parse logs or build your own framework.
To learn more about how to use ProcessTracker, please check out our documentation on ReadTheDocs!
Want to contribute? Check out our contributors guide!
Found a bug? Have an idea for an improvement? Submit it into our Issues tracker
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size processtracker-0.9.0-py3-none-any.whl (76.1 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
|Filename, size processtracker-0.9.0.tar.gz (52.1 kB)||File type Source||Python version None||Upload date||Hashes View|
Hashes for processtracker-0.9.0-py3-none-any.whl