# mbasso/awesome-wasm

😎 Curated list of awesome things regarding the WebAssembly (wasm) ecosystem.

Repository: https://github.com/mbasso/awesome-wasm
Canonical: https://ross.abutalabs.com/products/awesome-wasm
License: CC0-1.0
License Family: permissive
Topics: wasm, webassembly, awesome, awesome-wasm, awesome-list, awesome-webassembly, resources, lists, list
Last push: 2024-11-15T14:58:04+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3417, "days_push": 656, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 9631, forks 585 (observed 2026-08-28T04:10:36.434841+00:00)

## What it is
A curated list of resources, tools, tutorials, and projects for the WebAssembly (wasm) ecosystem. It serves as a reference index covering compilers, languages, frameworks, benchmarks, and learning materials.

## Use cases
- find webassembly learning resources and tutorials
- discover wasm compilers and tools
- learn how to compile rust or go to webassembly
- find webassembly frameworks and libraries
- explore the wasm ecosystem projects
- find webassembly benchmarks and examples

## When to choose
- you want a broad, community-curated index of wasm resources
- you are starting with WebAssembly and need tutorials and playgrounds
- you want to survey languages and tooling that target wasm

## When to avoid
- you need a runnable tool or library rather than a list of links
- you need up-to-the-minute coverage of the fast-moving wasm ecosystem
- you need in-depth documentation rather than curated pointers

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, documentation
- domain: web-development, compilers, tutorials, awesome-lists
- platform: wasm, browser, cross-platform
- tags: webassembly, awesome-list, curated-resources, wasm-ecosystem, learning

## Member repositories
- mbasso/awesome-wasm (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:36.434841+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:21:21.199067+00:00, confidence not recorded.
  - readme: https://github.com/mbasso/awesome-wasm (fetched 2026-08-28T04:10:36.434841+00:00, sha 391ec249cb4c)
- Data as of 2026-08-30T08:39:29.467469+00:00.