"100% code coverage" is often seen as the holy grail of software testing. Alas, coverage says more about the quantity than the QUALITY of your tests. This video covers Python unit tests & coverage + 2 mistakes to avoid when writing tests.

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

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
  • safer

    🧷 A safer writer 🧷

  • I took several of my small open source projects to 100% coverage like this and this as an exercise - I was starting with 90%+ already so it wasn't really a slog.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
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.

Suggest a related project

Related posts