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Immer vs Mutative: 86 us vs 3 us per Update

Nanostores vs Jotai: 1.3 KB vs 2.7 KB Gzip

Jotai vs Zustand: 0.15 ms vs 0.17 ms per Update

TanStack Query vs SWR: 10.4 KB vs 5.6 KB Gzip

Zustand vs Redux Toolkit: 0.14 ms vs 0.68 ms per Update

zustand 5.0.15 vs @reduxjs/toolkit 2.13.0 + react-redux 9.3.0 on React 19.3.0 (jsdom, NODE_ENV=production). 1,000 selector-subscribed rows, 300 flushSync updates x 7 trials, 2 runs: per-update median 0.137/0.139 ms vs 0.676/0.694 ms (~5x); 1 row re-rendered per update in both. Store-only: 1,376,191 vs 6,502 updates/s; Immer autoFreeze off lifts RTK to 386,966. Gzip (React external): 387 B vs 9,708 B. Fixture /workspace/bench-zustand-rtk/.

Ajv vs Zod: 3.9M vs 1.1M Validations per Second

ajv 8.20.0 (+ajv-formats 3.0.1) vs zod 4.6.5 on the same nested user shape as zod-vs-valibot. Warm medians (2k warmup + 9x50k): Ajv validate ok 3,933,337 ops/s vs zod.safeParse 1,138,406 (~3.5x). Bad input: Ajv allErrors 4,094,452 vs Zod 435,537 (~9.4x). Setup: Ajv new+addFormats+compile median 6.47 ms vs Zod build 0.17 ms; break-even ~10k validations. Browser gzip: Ajv runtime 41 KB, Ajv standalone 1.8 KB, Zod classic 93 KB, zod/mini 6.8 KB. Fixture /workspace/bench-ajv-zod/.

Yarn Berry vs pnpm: 1.3s vs 0.24s Install

Yarn 4.9.2 (Berry PnP + node-modules linker) vs pnpm 12.9.1 on one 22-dependency React+Vite app. Isolated caches (Yarn enableGlobalCache false; pnpm --store-dir). Warm medians (5): Yarn PnP 1.307 s, Yarn nm 2.471 s, pnpm 0.240 s. Lock+empty medians 1.656 / 2.789 / 0.725 s. Clean disk: Yarn PnP 246 MB; Yarn nm modules 189 MB; pnpm hardlink project 167 MB. Fixture /workspace/bench-yarn-pnpm/. Distinct from pnpm-vs-npm-vs-bun (no Yarn).

Valibot vs Zod: Which Is Faster? 0.97M vs 1.14M Parses

zod 4.6.5 vs valibot 1.5.0 on one nested user schema (uuid/email/age/tags/profile/enum). Warm medians after 2k warmup + 9×50k: zod.parse 1,144,494 ops/s vs valibot.parse 968,187 (~1.18×). safeParse fail: valibot 697,760 vs zod 415,523 (~1.7×). esbuild minify+gzip9: 452,999/92,636 B vs 85,126/15,422 B. Package trees ~6.1 MB vs ~1.9 MB. Fixture /workspace/bench-zod-valibot/.

mozjpeg vs libvips: 385ms vs 31ms Encode

mozjpeg cjpeg 3.3.1 (mozjpeg npm 8.0.0) vs libvips jpeg via sharp 0.35.5 (mozjpeg:false) on one 1920×1080 JPEG → q80. Warm medians (7 rounds after 1 warm-up): cjpeg 385 ms / 675,128 B vs libvips jpeg 31 ms / 675,714 B (~12×). Context: sharp mozjpeg:true 308 ms / 546,546 B. Fixture /workspace/bench-mozjpeg-libvips/. cjpeg timed with spawn + PPM read.

Squoosh vs Sharp: 483ms vs 291ms Encode

@jsquash/jpeg 1.6.0 (Squoosh mozjpeg WASM) vs sharp 0.35.5 mozjpeg on one 1920×1080 JPEG → q80 encode from pre-decoded RGBA. Warm medians (7 rounds after 1 warm-up): Squoosh WASM 483 ms / 675,247 B vs sharp mozjpeg 291 ms / 546,546 B (~1.7×). Context: sharp decode+encode mozjpeg 303 ms; sharp libvips jpeg from raw 23 ms / 675,714 B. Fixture /workspace/bench-squoosh-sharp/. @squoosh/lib 0.5.3 fails on Node 22.

Sharp vs imagemin: 305ms vs 399ms Encode

sharp 0.35.5 vs imagemin 9.0.1 + imagemin-mozjpeg 10.0.0 on one 1920×1080 JPEG → JPEG q80 (no resize). Warm medians (7 rounds after 1 warm-up): sharp 305 ms / 546,546 B vs imagemin-mozjpeg 399 ms / 675,128 B (~1.3×). Context: sharp resize 800 q80 median 115 ms / 142,435 B. Fixture /workspace/bench-sharp-imagemin/.

SVGO vs SVGR: 34ms / 35% Smaller SVG Set

svgo 4.1.0 vs @svgr/core 8.1.0 on 20 verbose 128×128 SVGs (18,990 B). Warm medians (7 rounds after 1 warm-up): SVGO 34 ms / 12,410 B; SVGR JSX 35 ms / 17,620 B; SVGR+plugin-svgo 63 ms / 12,920 B. Fixture /workspace/bench-svgo-svgr/.