Open Source Rust Software Development Software for ChromeOS
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Rust Software Development Software for ChromeOS
Browse free open source Rust Software Development Software for ChromeOS and projects below. Use the toggles on the left to filter open source Rust Software Development Software for ChromeOS by OS, license, language, programming language, and project status.
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RustDesk Server Program
Self-host your own RustDesk server
rustdesk-server is the self-hosted backend for RustDesk, an open-source remote desktop solution. It provides the rendezvous and relay components that allow RustDesk clients to discover peers and traverse NATs securely, enabling direct or relayed connections when needed. By running your own server, you retain control over connection metadata and can operate entirely within your organization’s perimeter. The project targets simplicity of deployment while maintaining performance characteristics suitable for interactive screen sharing and file transfer. It supports common operational needs such as configuring ports, authentication modes, and relay behavior to match diverse network constraints. Together with RustDesk clients, it offers a fully open alternative to proprietary remote-access ecosystems with an emphasis on privacy and self-custody. -
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ntex
framework for composable networking services
Framework for composable network services. Starting ntex v0.5 async runtime must be selected as a feature. Available options are glommio, tokio or async-std. -
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Crosvm
The Chrome OS Virtual Machine Monitor
crosvm (ChromeOS Virtual Machine Monitor) is a secure, lightweight virtual machine monitor built on top of the Linux KVM hypervisor. Developed for ChromeOS, it is designed to isolate and execute Linux and Android guests efficiently while maintaining strong security boundaries. Unlike general-purpose emulators like QEMU, crosvm avoids full hardware emulation and focuses on modern paravirtualized I/O using the virtio standard, reducing complexity and attack surface. Written in Rust, it emphasizes memory safety and modularity, allowing sandboxed device emulation with fine-grained privilege separation. crosvm underpins several ChromeOS subsystems, including Android Runtime for Chrome (ARCVM) and Crostini Linux containers, enabling rich application compatibility within a tightly controlled environment. -
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cross
Zero setup cross compilation and cross testing of Rust crates
This project is developed and maintained by the cross-rs team. It was previously maintained by the Rust Embedded Working Group Tools team. You have four options to configure cross. cross will provide all the ingredients needed for cross-compilation without touching your system installation. cross provides an environment, cross-toolchain, and cross-compiled libraries, that produce the most portable binaries. “cross-testing”, cross can test crates for architectures other than i686 and x86_64. -
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heim
Cross-platform async library for system information fetching
Heim is a cross-platform system monitoring library written in Rust, providing real-time metrics for CPU, memory, and other resources. -
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mail-parser
Fast and robust e-mail parsing library for Rust
Stalwart Mail Parser is a high-performance Rust library designed for parsing and analyzing email messages. It efficiently handles complex MIME structures, supports various encodings, and is optimized for speed and robustness. The library is suitable for applications requiring detailed email processing and analysis. -
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Peroxide
Rust numeric library with high performance and friendly syntax
Rust numeric library contains linear algebra, numerical analysis, statistics and machine learning tools with R, MATLAB, Python-like macros. Peroxide uses a 1D data structure to represent matrices, making it straightforward to integrate with BLAS (Basic Linear Algebra Subprograms). This means that Peroxide can guarantee excellent performance for linear algebraic computations by leveraging the optimized routines provided by BLAS. For users familiar with numerical computing libraries like NumPy, MATLAB, or R, Rust's syntax might seem unfamiliar at first. This can make it more challenging to learn and use Rust libraries that heavily rely on Rust's unique features and syntax. -
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fastn
(Alpha stage software) fastn - Full-stack Web Development Made Easy
ftd is a programming language for building user interfaces and content-centric websites. ftd is easy to learn, especially for nonprogrammers, but it does not compromise on what you can build with it. fastn is a web framework, a content management system, and an integrated development environment for ftd. fastn is a web server, that compiles ftd to HTML/CSS/JS and can be deployed on your server, or on fastn cloud by FifthTry. ftd is designed with minimal and uniform syntax, and at first glance does not even look like a programming language. -
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log4rs
A highly configurable logging framework for Rust
log4rs is a highly configurable logging framework modeled after Java's Logback and log4j libraries. If you are using the file rotation in your configuration there is a known substantial performance issue so listen up! By default the gzip feature is enabled and when rolling files it will zip log archives automatically. This is a problem when the log archives are large as the zip happens in the main thread and will halt the process while the zip is completed. Be advised that the gzip feature will be removed from default features as of 1.0. -
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Actix
Actor framework for Rust
Actor framework for Rust. Actix uses the Tokio runtime. System::new() creates a new event loop. System.run() starts the Tokio event loop, and will finish once the System actor receives the SystemExit message. Spawning a new actor is achieved via the start and create methods of the Actor trait. It provides several different ways of creating actors; for details, check the docs. You can implement the started, stopping and stop methods of the Actor trait. started gets called when the actor starts and stops when the actor finishes. Check the API docs for more information on the actor lifecycle. An Actor communicates with another Actor by sending messages. In actix all messages are typed. Let's define a simple Sum message with two usize parameters and an actor which will accept this message and return the sum of those two numbers. Here we use the #[actix::main] attribute as an easier way to start our System and drive our main function. -
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Boa
Embeddable and experimental Javascript engine written in Rust
This is an experimental Javascript lexer, parser and interpreter written in Rust. Currently, it has support for some of the language. -
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PgRx
Build Postgres Extensions with Rust
pgrx is a Rust framework for developing PostgreSQL extensions, making it easier to write safe, high-performance native extensions in Rust. It handles the boilerplate and unsafe FFI needed to interface with Postgres internals, allowing developers to focus on logic. With built-in support for SQL generation, testing, and deployment, pgrx streamlines the extension creation process while embracing Rust’s safety guarantees. -
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Polars
Dataframes powered by a multithreaded, vectorized query engine
Polars is a high-performance, multi-language DataFrame library built in Rust using Apache Arrow. It delivers blazing-fast, vectorized, and parallel data manipulation with both eager and lazy execution, making it an excellent tool for data processing in Python, Rust, Node.js, R, and SQL contexts. -
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Actix Web
Actix Web is a powerful, pragmatic, and extremely fast web framework
Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust. Forget about strongly typed objects, from request to response, everything has types. Actix provides a lot of features out of the box. HTTP/2, logging, etc. Easily create your own libraries that any Actix application can use. Getting started with Actix is easy. An Actix app comes with a URL routing system that lets you match on URLs and invoke individual handlers. -
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Kameo
Fault-tolerant Async Actors Built on Tokio
Kameo is a lightweight Rust library for building fault-tolerant, distributed, and asynchronous actors. It allows seamless communication between actors across nodes, providing scalability, backpressure, and panic recovery for robust distributed systems. Kameo stands out by offering simplicity, resilience, and scalability. It's not just about making concurrent programming easier—it's about empowering you to build the reliable, efficient, and scalable systems that today's users demand. Whether you're a seasoned developer or just starting out, Kameo is designed to be relatable and accessible, providing you with the tools you need to bring your ideas to life. -
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LiteBox
A security-focused library OS supporting kernel execution
LiteBox is a security-focused “library OS” sandboxing project that aims to shrink the interface between an application and its host environment to reduce attack surface. Instead of relying solely on broad OS-level permissions, it focuses on isolating workloads by tightly controlling the boundary where code interacts with host services and system resources. The design emphasizes interoperability across different integration layers, describing a separation between “North” shims (how apps or runtimes plug in) and “South” platforms (where the sandbox runs), which helps the system adapt to multiple deployment contexts. A key aspect of the project is that it targets both kernel-mode and user-mode scenarios, enabling experimentation with different trust and performance tradeoffs. The repository positions LiteBox as a foundation for building hardened execution environments where untrusted or semi-trusted components can run with reduced privileges and a minimized host interface. -
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Chumsky
Write expressive, high-performance parsers with ease.
Chumsky is a parser library for Rust that focuses on expressiveness and performance. It provides developers with tools to write high-performance parsers using combinators, suitable for a wide range of parsing tasks. -
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Floem
A native Rust UI library with fine-grained reactivity
Floem is a cross-platform GUI framework for Rust. It aims to be extremely performant while providing world-class developer ergonomics. Supporting both GPU and CPU rendering, Floem gives you performance that's closest to bare metal. Also primitives are provided to help the developer to write performant UI code without too much effect. -
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Flox
Developer environments you can take with you
Flox is a portable, reproducible developer-environment and package-management system that lets you compose and share per-project stacks across the full software lifecycle. Instead of snowflake machines, teams define environments that layer or replace dependencies exactly where needed, then activate the same environment locally, in CI, or on production hosts. The GitHub repo and docs present a developer-first UX, plus integrations such as a VS Code extension that makes activating and working within Flox environments seamless. The ecosystem includes CI building blocks—for example, a CircleCI Orb—to install and activate environments as part of builds and tests. Flox’s messaging focuses on faster onboarding and “time-to-activation,” reducing friction for new contributors and multi-repo organizations. In practice, it functions as both the package source and the environment switcher, keeping toolchains isolated and reproducible. -
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GitButler
The GitButler version control client, backed by Git
GitButler is a modern Git-based version control client that pairs a graphical desktop experience with a complementary command-line tool, aiming to make everyday change management easier than traditional Git workflows. It keeps Git compatibility at the core, meaning your work still maps to commits, branches, and pushes to standard Git servers, but it rethinks how you interact with that underlying model. The project is designed around developer productivity, emphasizing smoother workflows for handling multiple streams of work, reviewing changes, and recovering from mistakes without the usual friction. It also positions itself for AI-assisted development patterns, where tooling needs to support rapid iteration and parallel work while staying understandable and reversible. By offering both GUI and CLI surfaces, it can fit into different team preferences, from visual-first change review to scriptable automation. -
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TensorZero
TensorZero is an open-source stack for industrial-grade LLM apps
tensorzero is a lightweight C++ library designed for tensor operations and numerical computing. It offers a minimal and readable implementation of core tensor functionality, making it ideal for educational purposes, lightweight applications, or those wanting to understand how tensor libraries work under the hood. With no external dependencies, tensorzero is easy to integrate into C++ projects needing basic multi-dimensional array support. -
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zerobrew
A drop-in, 5-20x faster, experimental Homebrew alternative
zerobrew is an innovative lightweight package management system and dependency installer designed to simplify how developers install, build, and manage open-source software without relying on heavyweight ecosystems. It reimagines the idea of a “brew-like” experience by focusing on minimal dependencies, reproducible builds, and clarity of configuration so that even complex packages can be installed without deep setup overhead. Rather than abstracting every detail behind magic, ZeroBrew encourages transparency: users see what’s happening at every step and can customize build logic or patches directly within formula definitions. This makes it appealing for environments where reproducibility, auditability, and simplicity matter, such as on developer workstations, CI pipelines, or constrained runtime environments. -
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Anyhow
Flexible concrete Error type built on std::error::Error
This is a Rust library (crate) that provides a flexible, concrete error type built atop the standard std::error::Error trait. Its primary goal is to make error handling in applications easy: instead of defining lots of custom error types, you can use anyhow::Error (or the alias anyhow::Result<T>) for fallible functions. The crate supports attaching context to errors, so you can convert a low-level error (like “file not found”) into one with richer diagnostics (“Failed to read instructions from path X”) using .context() or .with_context(). It supports downcasting (so you can inspect the underlying error type), and for recent versions of Rust, it will capture backtraces by default when the underlying error type doesn’t already. It also supports no_std mode (in limited form) by disabling default features. The README distinguishes it from library-oriented error crates (like thiserror): use anyhow when you just care about application-level error handling, not fine-grained types. -
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Gitlogue
A cinematic Git commit replay tool for the terminal
Gitlogue provides a fun and creative command-line tool that turns your Git commit history into an animated replay, displaying your commits as if someone were typing the changes in real time with cinematic flair. When you run this tool in the terminal, it visually replays diffs line by line, highlights syntax, and shows changes evolving in a way that feels like watching a code story unfold, which can be entertaining and useful for reviewing history or showcasing progress. It builds on typical Git data but reshapes it into a compelling narrative with visual appeal, making it great for demos, teaching, or just savoring your development journey. The tool is standalone and designed to be easy to install and run, so users don’t need complex setups to enjoy animated commit histories. Gitlogue adds atmosphere and personality to otherwise dry version control logs, and it supports terminal-friendly output that respects your existing workflow. -
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Mangle
Go library for Datalog-style logical reasoning and domain modeling
Mangle is a programming language developed by Google for deductive database programming, serving as an advanced extension of Datalog. It is designed to unify and query data from multiple sources in a structured, declarative way while allowing developers to model complex relationships and domain knowledge beyond binary predicates. Mangle enhances traditional Datalog by introducing features such as aggregation, function calls, and optional type-checking, which make it more practical for modern data-intensive applications. Unlike SQL, Mangle’s declarative syntax naturally supports recursion and modular program structure, making it suitable for representing hierarchical or interconnected datasets like dependency graphs or knowledge graphs. The project’s implementation is provided as a Go library, enabling developers to embed Mangle directly into their applications or services, such as database-like gRPC systems.