Library Comparison Page (/compare)

[MarkusNeusinger]

Feature: Library Comparison Page

Pick 2-3 libraries, see head-to-head comparison — the ultimate "which library should I use?" tool.

What it shows

• Summary stats per library: impl count, avg quality score, avg code lines
• Head-to-head table: specs where all selected libraries have implementations
• Category winners: which library scores highest per plot_type
• Technique/pattern coverage: impl_tags usage per library
• Score distributions per library (histogram comparison)

Technical Approach

• New endpoint: GET /insights/compare?libraries=matplotlib,seaborn,plotly
• New page: app/src/pages/ComparePage.tsx (lazy-loaded)
• URL-synced library selection (/compare?libs=matplotlib,seaborn)
• CSS-based visualizations

Inspired by

Can I Use, StackShare, benchmark comparison sites

🤖 Generated with Claude Code