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memray vs browser-caching

memray and browser-caching are both browser automation skills. browser-caching scores higher (84 vs 73 out of 100). browser-caching has more GitHub stars (75k), and memray was updated more recently (5 days ago). The table compares them side by side.

memraybrowser-caching
Score73 / 10084 / 100
What it doesProfile the memory usage of a Python script using memray and visualize a temporal flamegraph in the browser. Use when the user wants to investigate memory consumption, find leaks, or understand allocation patterns.Use when auditing slow page loads, heavy assets, or rendering delays related to Enable browser caching. Verify the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
PublisherCommunity: scverseCommunity: thedaviddias
GradesMaintenance A, Licence A, Quality BMaintenance A, Licence A, Quality A
npm downloads a weekNot on npmNot on npm
RunsSkillSkill
Works withClaude Code, Claude appsClaude Code, Claude apps
GitHub stars40274,518
Last commit17 Oct 20266 Oct 2026
LicenceBSD-3-ClauseMIT
Listed since20 Oct 202620 Oct 2026
Install memrayInstall browser-caching

Questions

Is memray or browser-caching more popular?

browser-caching has more GitHub stars: 74,518.

Can I use memray and browser-caching together?

Yes. AI assistants can load several skills at once. Install both and the assistant picks the right one for each task.