mbasso/awesome-wasm

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

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mbasso/awesome-wasm has 9.5k+ stars and 600+ forks on GitHub and was last pushed on Oct 9, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 14 minutes ago
Type:Curated List / Learning ResourceCategory(s):Runtimes & WebAssemblyLanguages & Runtimes
Added to GitGenius on October 9th, 2026
Created on April 25th, 2017
Open Issues & Pull Requests: 118 (+0)
GitHub issues: Enabled
Number of forks: 613
Total Stargazers: 9,650 (+0)
Total Subscribers: 233 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 126.8 days
Mean response time: 126.8 days
90th percentile: 126.8 days
Tracked items: 1

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Issue Activity (beta)

Open issues: 12
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 232 days
Stale 30+ days: 12
Stale 90+ days: 10

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Awesome Wasm is a curated list that catalogs resources, tools, and projects across the WebAssembly ecosystem.

The project addresses the challenge of navigating the fragmented WebAssembly landscape by organizing links and references into a structured collection. It covers general resources including official specifications and documentation, online playgrounds for experimenting with WebAssembly code, compilers that target the format, and embeddings for non-web environments. The list extends across multiple dimensions: programming languages that compile to WebAssembly such as Rust, Go, Python, and Kotlin; development tools including editors and kits; practical examples and benchmarks; and community resources like articles, videos, and job boards.

Someone considering this resource should understand it serves as a discovery and reference tool rather than a learning platform or implementation guide. It suits developers new to WebAssembly who need an overview of available options, those evaluating which language or toolchain to adopt for a WebAssembly project, and practitioners seeking specific categories of resources like frameworks, data processing libraries, or AI-related implementations. The list's breadth makes it valuable for understanding the ecosystem's scope, though users will need to evaluate individual linked resources based on their specific requirements.

The project maintains an organized structure with clear contribution guidelines, indicating an intent to sustain quality and consistency. The extensive categorization across languages, tools, and use cases suggests ongoing curation to reflect the ecosystem's evolution.