Linkpeek – link preview for Node.js, Bun, and Deno (1 dependency)
One dependency and 30KB download limit, but link-preview-js already exists.
Fast, Complete NumPy for TypeScript & JavaScript
NumPy's full API in JavaScript with zero dependencies, 93% coverage validated against Python.
JavaScript/TypeScript developers needing numerical computing in browsers, Node.js, Deno, or Bun environments
NumJS · TensorFlow.js · Danfo.js
It currently has 476 of NumPy's 507 functions implemented, all cross-validated against NumPy with >6,000 validation tests. The lib is about 93 kB minified+gzipped and has zero dependencies, and it's fully tree-shakeable.
Since it's written in TypeScript, it's on average 15x slower than NumPy. I just tagged 1.0.0, and will begin performance optimization soon (both algorithmic and selective WASM for fused kernels).
You can try it in your browser here: https://numpyts.dev/playground
Disclaimer that this was a mix of hand-written code (API, deterministic tooling) and AI-assisted (functional implementations, validation test implementations).
One dependency and 30KB download limit, but link-preview-js already exists.
Rust-based Nx alternative claiming zero dependencies, but entering a brutally crowded market.
Cloudflare Workers API without Cloudflare, compiled to a single WASM binary.
Reverse-engineered NotebookLM API when Google provides nothing official.
ORM that skips decorators—but Prisma, Sequelize, TypeORM already solve this better.
This is a practical, engineer-first sandbox that feels built for LLM workflows: five runtimes (Python/Node/Bun/Deno/Bash), streaming SSE output, warm container pools for sub-100ms latency, and security defaults like read-only rootfs, seccomp, and resource caps. The embeddable TypeScript API plus an agent 'skill' and on-the-fly package installs make it easy to plug into agent pipelines. My nitpick: it still depends on Docker as the trust boundary — I'd like clearer hardened defaults, policy/audit primitives, and documentation about residual host risks before using it to run fully hostile code.