Guys, I need your help 😅
As I’ve noticed, many QA Engineers (also devs) do not measure how stable or fast their tests are. Even teams that do care about test observability often build their own internal tooling to analyze test statistics.
People sometimes ask me how they can organize their own analytical system for test observability. But I never had a clear answer. Just "develop your own system". This approach might work for large teams, but it can be expensive for small and medium teams. Googling didn't help me. I could not find any tools that I would confidently recommend to others. And...
I decided to create a simple solution for people who use Python and pytest. It is a pytest-plugin designed to improve test observability without requiring a TMS or other paid solutions. It exports test results into ClickHouse.
Key features:
