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Stars
An open-source, cross OS, community-driven launcher. A lightweight alternative to Spotlight and Raycast. Made with ❤️ from Viet Nam 🇻🇳
sanity is a simple Typst package to find unreferenced figures, uncited sources and lost labels
Postgres rewritten in Rust, now faster than Postgres and Clickhouse
End-to-end formally verified solvers for the general relativistic Maxwell and perfectly hyperbolic general relativistic Maxwell equations in curved spacetime, in 1D, 2D, and 3D.
JAX in JavaScript – ML library for the web, running on WebGPU & Wasm
Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.
electrostatic model sandbox based on the MACE MLIP architecture
A bunch of lints to catch common mistakes and improve your Rust code. Book: https://doc.rust-lang.org/clippy/
AI-driven workbench for computational materials science — interactive 3D structure viewer, natural-language CatBot assistant, visual DAG workflow engine, HPC job submission. Tauri desktop app with …
The unified toolchain and entry point for web development.
A simple, fast and user-friendly alternative to 'find'
torchax is a PyTorch frontend for JAX. It gives JAX the ability to author JAX programs using familiar PyTorch syntax. It also provides JAX-Pytorch interoperability, meaning, one can mix JAX & Pytor…
A torch implementation of the neighbor lists.
A statically typed programming language for scientific computations with first class support for physical dimensions and units
Sunsetted / archived. Rust Svelte 5 checker (Jan–Sep 2026) that helped inspire upstream native checking. Use official svelte-check; see README.
ALCHEMI Toolkit-Ops is a collection of optimized batch kernels to accelerate computational chemistry and material science workflows.
Svelte-native plotting framework based on the grammar of graphics
SingularityCE is the Community Edition of Singularity, an open source container platform designed to be simple, fast, and secure.
ML Performance and Extrapolation Guide (reference deployment https://ml-peg.stfc.ac.uk)