Unit Tests - what’s the point?

This page summarizes the projects mentioned and recommended in the original post on /r/Python

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  • codecov-example

    an example repository of mine: https://github.com/pentarix1996/codecov-example

  • global-chem

    A Knowledge Graph of Common Chemical Names to their Molecular Definition

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  • coveragepy

    The code coverage tool for Python

    Tests ensure the tested behavior is maintained. It's up to the developers to write tests with sufficient coverage. Determining which lines of code on your project are covered by tests is easily quantifiable using tooling. E.g. https://coverage.readthedocs.io/

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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