pymeter

Enables writing JMeter tests using familiar Python syntax and classes, as shown in the example with HttpSampler and ThreadGroupWithRampUpAndHold, reducing the learning curve for Python developers.

Facilitates version control and collaboration by storing performance tests as code, aligning with modern DevOps practices and CI/CD integration highlighted in the philosophy.

Provides programmatic access to detailed performance metrics like percentiles and mean response times, and generates HTML reports without external tools, as demonstrated in the example script.

Works seamlessly with any Python testing framework such as unittest or pytest, allowing performance tests to coexist with functional tests in the same codebase.