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RiverCatch

Continuous Integration build in GitHub Actions

RiverCatch is a data management system written in Python that manages measurement data collected in river catchment surveys and campaigns.

Main features

Here are some key features of RiverCatch:

  • Provide basic statistical analyses of data
  • Ability to work on measurement data in Comma-Separated Value (CSV) format
  • Generate plots of measurement data
  • Analytical functions and views can be easily extended based on its Model-View-Controller architecture

Prerequisites

RiverCatch requires the following Python packages:

  • NumPy - makes use of NumPy's statistical functions
  • Pandas - makes use of Panda's dataframes
  • GeoPandas - makes use of GeoPanda's spatial operations
  • Matplotlib - uses Matplotlib to generate statistical plots

The following optional packages are required to run RiverCatch's unit tests:

  • pytest - RiverCatch's unit tests are written using pytest
  • pytest-cov - Adds test coverage stats to unit testing