Open Source Rust Compilers

The Rust Programming Language is a language that empowers you to build reliable and efficient software. It runs blazingly fast and is memory-efficient, so it can power performance-critical services and run on embedded devices. It has a rich type system and ownership model, ensuring both thread and memory safety. Consisting of a standard library, great documentation and a friendly compiler, plus a top-notch build tool, package manager, auto-formatter and many other great tools, it’s the language of choice for increased productivity. Hundreds of companies the world over are using Rust to power an amazing range of cross-platform solutions. See what a great fit Rust can be for your own projects!

Typst is a new markup-based typesetting system that is designed to be as powerful as LaTeX while being much easier to learn and use. Typst supercharges templates: They react to your content and format everything instantly while you type. Select from a wide range of community templates or create your own. Store shared documents in team workspaces to bring everyone in your working group on the same page. Whether in the classroom, the faculty office, or at home. Typst runs in your browser, so everyone on the team can just start writing.

Dynamic and static analysis with Real Time Malware Analysis with Antivirus for Windows, including open-source XDR (3 EDR projects), ClamAV, YARA-X, machine learning AI, behavioral analysis, Unpacker, Deobfuscator, Decompiler, website signatures, Ghidra, Suricata, Sigma, Kernel, Hypervisior based protection and much more than you can imagine.

Claude’s C Compiler is a remarkable experiment in automated software generation: a full C compiler written from scratch in Rust entirely by an AI model (Claude Opus 4.6) with minimal human intervention, capable of targeting multiple architectures like x86-64, i686, ARM, and RISC-V. The project implements every part of a traditional compiler — the lexer, parser, intermediate representation, optimizer, code generator, assembler, linker, and debug info emitter — without relying on any external toolchain, producing standalone executables in the ELF format. While still early and not fully validated for correctness, it demonstrates the frontier of what sophisticated AI can build in complex, systems-level software domains, including the potential to compile real operating systems and large software projects.

Gleam's powerful static type system helps find and prevent bugs at compile time, long before it reaches your users. It also serves as a productive refactoring tool, enabling programmers to confidently make large changes to unfamiliar code, quickly and with low risk. For problems, the type system can't solve (such as your server being hit by a bolt of lightning) the Erlang virtual machine provides well-tested mechanisms for gracefully handling failure. Hunting down bugs can be stressful so Gleam's compiler provides clear and helpful feedback about any problems. We want to spend more time developing features and less time looking for bugs or deciphering cryptic error messages. Gleam builds on top of the Erlang virtual machine, a best-in-class runtime that has enabled companies such as Discord, Ericsson, Heroku, and WhatsApp to provide low-latency services at a global scale. Gleam takes full advantage of the Erlang runtime and adds no overhead of its own.

Melody is a language that compiles to regular expressions and aims to be more easily readable and maintainable. All quantifiers can be preceded by lazy to match the least amount of characters rather than the most characters (greedy).

corroded is a Rust project that intentionally strips away Rust’s safety guarantees and idiomatic protections, offering utilities and patterns that prioritize raw power and freedom over the usual borrow checker enforcement or strict ownership rules. Its README and community reactions suggest a mix of satire and extreme experimentation: the project makes “unsafe” Rust easier to use by removing typical compile-time checks, pushing the language toward behavior more like C for cases where developers want total control. Although controversial, the code serves as an exploration of Rust internals and unsafe constructs, and it includes utilities intended to simplify memory management and pointer manipulation without safety checks. This can be attractive to low-level systems programmers who are comfortable with risks and want to squeeze out performance or experiment with unconventional language behavior.

Gluon is a static, type inferred and embeddable language written in Rust. Gluon is a small, statically-typed, functional programming language designed for application embedding. Static typing makes it easier to write safe and efficient interfaces between gluon and the host application. Type inference ensures that types rarely have to be written explicitly giving all the benefits of static types with none of the typing. Marshalling values to and from gluon requires next to no boilerplate, allowing functions defined in Rust to be directly passed to gluon. Gluon supports Unicode out of the box with utf-8 encoded strings and Unicode codepoints as characters. Gluon is a garbage-collected language but uses a separate heap for each executing gluon thread. This keeps each heap small, reducing the overhead of the garbage collector. Gluon is written in Rust, which guarantees thread safety. Gluon keeps the same guarantees, allowing multiple gluon programs to run in parallel.

A CSS parser, transformer, and minifier written in Rust. Parsing and minifying large files are completed in milliseconds, often with significantly smaller output than other tools. Many other CSS parsers treat property values as an untyped series of tokens. This means that each transformer that wants to do something with these values must interpret them itself, leading to duplicate work and inconsistencies. @parcel/css parses all values using the grammar from the CSS specification and exposes a specific value type for each property. Built on the cssparser and selectors crates created by Mozilla and used by Firefox and Servo. These provide a solid general-purpose CSS-parsing foundation on top of which @parcel/css implements support for all specific CSS rules and properties. One of the main purposes of @parcel/css is to minify CSS to make it smaller. This includes many optimizations.