Open Source Rust Software - Page 7
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Rust Software
Browse free open source Rust Software and projects below. Use the toggles on the left to filter open source Rust Software by OS, license, language, programming language, and project status.
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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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MusicGPT
Generate music based on natural language prompts using LLMs
MusicGPT is an open-source application designed to generate music from natural language prompts using locally executed artificial intelligence models. The software allows users to run advanced music generation systems directly on their own devices without requiring heavy dependencies such as Python or full machine learning frameworks. Instead, it provides a lightweight environment capable of executing music generation models locally on CPUs or GPUs while maintaining strong performance across operating systems including Windows, macOS, and Linux. Users can describe a musical style, mood, or instrumentation using text prompts, and the system produces original audio samples based on those instructions. The application currently integrates with models such as MusicGen and is designed to support additional models transparently in the future. In addition to a command-line interface, the project includes a web-based interface that enables conversational interaction with the AI model. -
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cargo-crev
A cryptographically verifiable code review system for the cargo
A cryptographically verifiable code review system for the cargo (Rust) package manager. cargo-crev is an implementation of Crev as a command-line tool integrated with cargo. This tool helps Rust users evaluate the quality and trustworthiness of their package dependencies. Crev is a language and ecosystem agnostic, distributed code review system. Use reviews produced by other users. Increase the trustworthiness of your own code. Build a web of trust of other reputable users to help verify the code you use. Static binaries are available from the releases page. Crev is a system for verifying the security and reliability of dependencies based on collaborative code reviews. Crev users review the source code of packages/libraries/crates and share their findings with others. Crev then uses Web of Trust to select trusted reviews and judge the reputation of projects' dependencies. -
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llmfit
157 models, 30 providers, one command to find what runs on hardware
llmfit is a terminal-based utility that helps developers determine which large language models can realistically run on their local hardware by analyzing system resources and model requirements. The tool automatically detects CPU, RAM, GPU, and VRAM specifications, then ranks available models based on performance factors such as speed, quality, and memory fit. It provides both an interactive terminal user interface and a traditional CLI mode, enabling flexible workflows for different user preferences. llmfit also supports advanced configurations including multi-GPU setups, mixture-of-experts architectures, and dynamic quantization recommendations. By presenting clear performance estimates and compatibility guidance, the project reduces the trial-and-error typically involved in local LLM experimentation. Overall, llmfit serves as a practical decision assistant for developers who want to run language models efficiently on their own machines. -
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tachyonfx
Effects and animation library for Ratatui applications
tachyonfx is a Rust-based animation and effects library designed specifically for terminal user interfaces built with the Ratatui ecosystem, enabling developers to add visually rich transitions and dynamic behavior to text-based applications. It introduces a composable system where complex animations can be created by layering and combining smaller, reusable effects, similar to how shaders or animation pipelines work in graphical environments. The library focuses on enhancing the visual expressiveness of terminal applications, which are traditionally static, by introducing motion, interpolation, and smooth transitions between UI states. TachyonFX integrates deeply with Ratatui’s rendering model, allowing developers to apply effects to widgets, layouts, or entire scenes without rewriting core UI logic. It also supports real-time updates and interactive behaviors, making it suitable for applications that require responsive visual feedback. -
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Bionic GPT
Bionic is an on-premise replacement for ChatGPT
Bionic is an on-premise generative AI platform positioned as a private replacement for ChatGPT, with a strong emphasis on data confidentiality, team collaboration, and enterprise deployment. It can run locally on a laptop for small pilots, but it is also designed to scale into data center and Kubernetes environments for much larger usage. The interface is intentionally familiar, offering a ChatGPT-like experience with customizable branding, fast Rust-based performance, and conversation history management. Beyond chat, Bionic focuses heavily on enterprise RAG by letting users create AI assistants that work with their own documents, share those assistants across teams, and configure embeddings, chunking, and system prompts through the UI. The platform supports a wide variety of document types, includes data isolation features for teams, and layers in security measures such as RBAC, row-level security in Postgres, strong content security policy settings, and minimal container builds. -
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Flying Carpet
File transfer between Android, iOS, Linux, macOS, and Windows
Send and receive files between Android, iOS, Linux, macOS, and Windows over ad hoc WiFi. No shared network or cell connection required, just two devices with WiFi chips in close range. Don't have a flash drive? Don't have access to a wireless network? Need to move a file larger than 2GB between different filesystems but don't want to set up a network share? Try it out! -
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Kaku
A fast, out-of-the-box terminal built for AI coding
Kaku is a fast, out-of-the-box terminal built for AI coding workflows. It is a deeply customized fork of WezTerm that aims to provide practical defaults rather than requiring users to assemble a terminal setup from scratch. The app includes common developer shortcuts for tabs, windows, panes, settings, lazygit, file management, screen clearing, and AI-related actions. Kaku also includes an assistant mode that can help with automatic error recovery and natural-language command generation. It is designed for developers who use terminal-based AI coding agents and want a terminal that supports that workflow directly. Its main value is combining a polished terminal experience with shortcuts and behaviors tuned for modern AI-assisted development. -
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Nitro Enclaves Command Line Interface
Tooling for Nitro Enclave management
This repository contains a collection of tools and commands used for managing the lifecycle of enclaves. The Nitro CLI needs to be installed on the parent instance, and it can be used to start, manage, and terminate enclaves. The Nitro Enclaves kernel driver is available in the upstream Linux kernel starting with the v5.10 kernel for x86_64 and starting with the v5.16 kernel for arm64. The codebase from the 'drivers/virt/nitro_enclaves' directory in this GitHub repository is similar to the one merged into the upstream Linux kernel. The enclaves do not have access to a physical disk, just a RAM filesystem. One can configure the disk space by changing memory size or by using kernel command line arguments. -
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Ollama-rs
A simple and easy-to-use library for interacting with the Ollama API
Ollama-rs is a Rust library designed to provide a simple and efficient interface for interacting with the Ollama API, enabling developers to integrate local large language models into Rust applications. It follows the official Ollama API closely, ensuring compatibility while offering an idiomatic Rust experience with strong typing and asynchronous execution. The library supports a wide range of operations, including text generation, chat interactions, embeddings, and model management, making it suitable for both simple applications and more advanced AI workflows. It includes streaming capabilities for real-time output, allowing developers to process responses incrementally rather than waiting for full completions. The project also introduces support for tool calling and custom function integration, enabling more dynamic and agent-like behavior within applications. -
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Solana
Web-scale blockchain for fast, secure, scalable, decentralized apps
Solana is the fastest blockchain in the world and the fastest-growing ecosystem in crypto, with thousands of projects spanning DeFi, NFTs, Web3 and more. Integrate once and never worry about scaling again. Solana ensures composability between ecosystem projects by maintaining a single global state as the network scales. Never deal with fragmented Layer 2 systems or sharded chains. Solana's scalability ensures transactions remain less than $0.01 for both developers and users. Solana is all about speed, with 400 millisecond block times. And as hardware gets faster, so does the network. Not only is Solana ultra-fast and low cost, but it is also censorship-resistant. This means the network will remain open for applications to run freely and transactions will never be stopped. Help secure the network by running decentralized infrastructure. Learn about operating a validator node. See the get started guide, videos, tutorials, SDKs, reference implementations, and more. -
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Substrate Node Template
A rust implementation of the Quip Protocol forked from Substrate
Substrate Node Template is a Rust-based implementation of the Quip Protocol built on top of the Substrate blockchain framework, providing a customizable foundation for building decentralized networks. The project is structured as a blockchain node template, including components such as runtime logic, networking, consensus mechanisms, and RPC interfaces. It leverages FRAME, Substrate’s modular runtime development system, allowing developers to compose blockchain functionality through reusable pallets. The node supports development and testing environments with configurable genesis states and pre-funded accounts, making it suitable for experimentation and rapid prototyping. It also includes tools for running single-node or multi-node networks, enabling developers to simulate distributed consensus systems locally. The architecture is designed for extensibility, allowing custom consensus algorithms, storage models, and transaction logic to be integrated. -
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Vaultwarden
Bitwarden compatible server written in Rust
Basically full implementation of Bitwarden API is provided including organizations support, attachments, vault API support, serving the static files for Vault interface, website icons API, authenticator and U2F support, yubiKey and Duo support. Pull the docker image and mount a volume from the host for persistent storage. This will preserve any persistent data under /vw-data/, you can adapt the path to whatever suits you. Some web browsers, like Chrome, disallow the use of Web Crypto APIs in insecure contexts. In this case, you might get an error like Cannot read property 'importKey'. To solve this problem, you need to access the web vault from HTTPS. This can be configured in vaultwarden directly or using a third-party reverse proxy (some examples). If you have an available domain name, you can get HTTPS certificates with Let's Encrypt, or you can generate self-signed certificates with utilities like mkcert. Some proxies automatically do this step, like Caddy. -
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macmon
Real-time system monitor for Apple Silicon Macs (M1–M5)
macmon is a real-time system monitor built specifically for Apple Silicon Macs. It is designed to show detailed performance information for M-series machines without requiring sudo access. The tool provides a terminal user interface for viewing CPU, GPU, RAM, power, and temperature data as the system runs. It is useful for developers, performance testers, AI users, and Mac power users who want deeper visibility into hardware behavior. macmon can also expose metrics through JSON or Prometheus-compatible output, which makes it suitable for dashboards and automated monitoring. Its main value is giving Apple Silicon users a fast, native, and scriptable way to understand system performance. -
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Bevy
A refreshingly simple data-driven game engine built in Rust
A refreshingly simple data-driven game engine built in Rust. All engine and game logic uses Bevy ECS, a custom Entity Component System. Massively Parallel and Cache-Friendly. The fastest ECS according to some benchmarks. Components are Rust structs, Systems are Rust functions. Queries, Global Resources, Local Resources, Change Detection, Lock-Free Parallel Scheduler. Bevy is still in the very early stages of development. APIs can and will change (now is the time to make suggestions!). Important features are missing. Documentation is sparse. Please don't build any serious projects in Bevy unless you are prepared to be broken by API changes constantly. Bevy relies heavily on improvements in the Rust language and compiler. As a result, the Minimum Supported Rust Version (MSRV) is "the latest stable release" of Rust. Built directly on top of Bevy's ECS, Renderer, and Scene plugins. -
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Ruff
An extremely fast Python linter, written in Rust
An extremely fast Python linter, written in Rust. Ruff aims to be orders of magnitude faster than alternative tools while integrating more functionality behind a single, common interface. Ruff can be used to replace Flake8 (plus dozens of plugins), isort, pydocstyle, yesqa, eradicate, pyupgrade, and autoflake, all while executing tens or hundreds of times faster than any individual tool. Ruff is extremely actively developed and used in major open-source projects. Ruff can be configured through a pyproject.toml, ruff.toml, or .ruff.toml file (see: Configuration, or Settings for a complete list of all configuration options). Ruff supports over 500 lint rules, many of which are inspired by popular tools like Flake8, isort, pyupgrade, and others. Regardless of the rule's origin, Ruff re-implements every rule in Rust as a first-party feature. -
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Sniffnet
Application to comfortably monitor your Internet traffic
Application to comfortably monitor your Internet traffic. Multithreaded, cross-platform, and reliable. Sniffnet is completely free, open-source software which needs lots of effort and time to develop and maintain. Save complete textual reports with detailed information for each network connections. Get details about domain names and network providers of the hosts you are exchanging traffic with. -
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Twiggy
Twiggy is a code size profiler
Twiggy is a specialized code size profiler designed for analyzing WebAssembly (Wasm) binaries, helping developers understand why their compiled output is large and how different functions contribute to that size. It works by inspecting a binary’s call graph and providing detailed breakdowns of which functions are included and how they are interconnected, allowing developers to trace dependencies and identify unnecessary code paths. This makes Twiggy particularly useful in performance-sensitive environments such as web applications, embedded systems, and blockchain smart contracts, where minimizing binary size is critical. The tool offers multiple analysis modes that answer questions like why a function is present, how much space it consumes, and what dependencies pull it into the final binary. By surfacing insights about symbol sizes and call relationships, Twiggy enables developers to optimize builds, remove dead code, and improve load times. -
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rtk
CLI proxy that reduces LLM token consumption
rtk is an open-source command-line proxy designed to optimize interactions between AI coding agents and the terminal by reducing unnecessary token consumption. When AI assistants execute shell commands during software development tasks, the resulting terminal output often contains large amounts of repetitive or irrelevant information that can overwhelm the model’s context window. RTK intercepts these command outputs and compresses them into concise summaries before sending them to the language model. This process helps maintain important information while removing redundant data such as boilerplate logs, long directory listings, or repetitive test outputs. By minimizing the amount of noise sent to the AI model, the tool improves reasoning quality and allows longer development sessions within the same context window. The system is implemented as a lightweight Rust binary that runs locally and integrates easily with common AI coding environments. -
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Simple TTS Reader
A small clipboard reader
Simple TTS Reader is a small utility that reads text from your clipboard using Microsoft Speech API. Whenever you copy any text, the app instantly converts it into spoken words. Select your preferred speech engine from those installed on your system, such as Microsoft Zira, and adjust speed and volume for personalized playback. The application can also be minimized to the system tray. Plus, it is free and comes with an intuitive interface that makes it accessible to everyone. -
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rScoop
Scoop GUI
Rscoop is a Scoop GUI that wraps the Scoop CLI. It doesn't replace Scoop rather it gives you a proper interface for it. Search across all your buckets at once, install and update packages, manage buckets, clean up disk space, and optionally scan downloads through VirusTotal, all from one window. -
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Helix
A post-modern modal text editor
Helix is a modal (Kakoune/Vim‑inspired) terminal-based text editor written in Rust. It features modern modal editing, multiple selections, smart syntax highlighting, and built-in language server (LSP) integration leveraging tree‑sitter for fast, incremental parsing and code intelligence. -
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Krustlet
Kubernetes Rust Kubelet
Krustlet is a Kubernetes kubelet implementation written in Rust that enables Kubernetes clusters to run workloads based on WebAssembly instead of traditional container images. It acts as an alternative node agent that integrates with Kubernetes while replacing the container runtime with a WebAssembly runtime, allowing applications to be deployed as Wasm modules. This approach provides improved startup times, stronger security isolation, and reduced resource consumption compared to containers, making it particularly appealing for edge and cloud-native environments. Krustlet supports WASI (WebAssembly System Interface), enabling Wasm modules to interact with system resources in a controlled and standardized way. It is designed to integrate seamlessly into existing Kubernetes clusters, allowing developers to schedule and manage Wasm workloads using familiar Kubernetes APIs and tooling. -
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Lightpanda Browser
Lightpanda: the headless browser designed for AI and automation
Lightpanda is an open-source headless browser designed specifically for automation, artificial intelligence workflows, and large-scale web interaction tasks. Unlike traditional browsers that include full graphical rendering engines meant for human users, Lightpanda is built from scratch to operate entirely in headless mode, focusing only on the components required for programmatic web interaction. This design allows it to execute JavaScript and interact with web pages while avoiding the overhead associated with rendering images, fonts, and layout elements intended for visual display. The browser is implemented using the Zig programming language and integrates the V8 JavaScript engine to run modern web applications and scripts efficiently. Because it avoids graphical rendering and other heavy browser components, the system uses significantly less memory and launches almost instantly compared to conventional browsers such as Chrome. -
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Meilisearch
An open-source, lightning-fast, and hyper-relevant search engine
An open-source, lightning-fast, and hyper-relevant search engine that fits effortlessly into your apps, websites, and workflow. Meilisearch is a flexible and powerful user-focused search engine that can be added to any website or application. Search-as-you-type returns answers in less than 50 milliseconds. That's faster than the blink of an eye! Deploy in a matter of minutes. Smart presets let you start searching through your data with zero configuration. Send data to Meilisearch however you want, no need to match a schema or convert your dataset to a compatible format. Everyone makes mistakes! If typos break your search experience, many users will leave thinking what they were looking for just wasn't there. Start searching through your dataset in less than 5 minutes and quickly connect your codebase to Meilisearch with our official libraries. Meilisearch is designed to work out-of-the-box, no configuration needed.
