Testing setups
Pw vs Statistical Analyst for Testing
Comparing two Claude Code plugins for testing. Below: side-by-side facts, then a verdict you can disagree with.
Side by side
Production-grade Playwright testing toolkit. 9 skills, 3 agents, 55 templates, TestRail + BrowserStack MCP integrations. Generate tests, fix flaky failures, migrate from Cypress/Selenium.
Tags
developmenttestingbrowseraiagent
- Author
- Alireza Rezvani
- Stars
- 14,217
- Updated
- May 2026
- Source
- GitHub
Install
/plugin marketplace add alirezarezvani/claude-skills && /plugin install pw@claude-skillsHypothesis testing, A/B experiment analysis, sample size calculation, and confidence intervals. 3 stdlib-only Python tools: Z-test/t-test/chi-square with effect sizes, sample size calculator with power tradeoffs, and Wilson score confidence intervals.
Tags
developmentpythontesting
- Author
- Alireza Rezvani
- Stars
- 14,217
- Updated
- May 2026
- Source
- GitHub
Install
/plugin marketplace add alirezarezvani/claude-skills && /plugin install statistical-analyst@claude-skillsVerdict
Pw and Statistical Analyst are close to a coin flip for testing — pick on stack fit.
- Pick Pw if your project leans on browser.
- Pick Statistical Analyst if you need stronger python support.
Auto-generated from tag fit, popularity, recency, and featured status. Not a hand review.