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RunMat is a free, open-source, MATLAB-compatible runtime designed to execute existing MATLAB/Octave code without license fees or vendor lock-in. The project emphasizes modern performance, describing a V8-inspired runtime architecture with a lightweight installer for Linux, macOS, and Windows. It targets full language grammar and core semantics, aiming to support arrays, indexing idioms, multiple return values, and classdef constructs that many scientific users rely on. ...

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rust-analyzer is a modular compiler frontend for the Rust language. It is a part of a larger rls-2.0 effort to create excellent IDE support for Rust. If you want to contribute to rust-analyzer or are just curious about how things work under the hood, check the ./docs/dev folder. If you want to use rust-analyzer's language server with your editor of choice, check the manual folder. It also contains some tips & tricks to help you be more productive when using rust-analyzer. rust-analyzer is an...

Stremio Core is the Rust engine that powers Stremio’s apps by centralizing all reusable logic behind discovery, catalogs, metadata, streams, add-ons, and user/library state. It exposes a clean set of modules—types, addon_transport, and state_types—so apps can talk to add-ons, model UI state, and react to events without duplicating code. The architecture is inspired by Elm: immutable state, message-driven updates, and explicit side-effects (“effects”) keep behavior predictable and testable....

This crate provides a set of tools for concurrent programming. Crossbeam supports stable Rust releases going back at least six months, and every time the minimum supported Rust version is increased, a new minor version is released. Currently, the minimum supported Rust version is 1.36. Crossbeam welcomes contribution from everyone in the form of suggestions, bug reports, pull requests, and feedback. We also have the RFCs repository for more high-level discussion, which is the place where we...

Shinkai is a free, open-source AI platform that lets anyone create powerful AI agents without coding. These agents can collaborate with each other, handle complex tasks, and operate in decentralized crypto environments. Key Features: - No-Code Agent Creation - Build specialized agents (trading bots, sentiment trackers, etc.) with simple descriptions - Multi-Agent Collaboration - Agents work together to solve complex problems - Crypto Integration - Built-in support for decentralized...