pytest-optimizer

name	pytest-optimizer
description	Analyze and optimize pytest suites to improve speed, identify flaky tests, and increase coverage. Use to maintain high-quality, fast-running test pipelines.

pytest Optimizer

Purpose and Intent

Analyze and optimize pytest suites to improve speed, identify flaky tests, and increase coverage. Use to maintain high-quality, fast-running test pipelines.

When to Use

• Project Setup: When initializing a new Python project.
• Continuous Integration: As part of automated build and test pipelines.
• Legacy Refactoring: When updating older Python codebases to modern standards.

When NOT to Use

• Non-Python Projects: This tool is specialized for the Python ecosystem.

Error Conditions and Edge Cases

• Missing Requirements: If the project lacks a requirements.txt or pyproject.toml.
• Incompatible Versions: If the project uses a Python version not supported by the tools.

Security and Data-Handling Considerations

• All analysis is performed locally.
• No source code or credentials are ever transmitted externally.