Testing setups
Fakechat 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
Localhost web chat for testing the channel notification flow. No tokens, no access control, no third-party service.
Tags
developmenttesting
- Author
- anthropics
- Stars
- 18,951
- Updated
- May 2026
- Source
- GitHub
Install
/plugin install fakechat@claude-plugins-officialHypothesis 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
Fakechat and Statistical Analyst are close to a coin flip for testing — pick on stack fit.
- Pick Fakechat if your project leans on development.
- Pick Statistical Analyst if you need stronger python support.
Auto-generated from tag fit, popularity, recency, and featured status. Not a hand review.