Search Results for "rust" - Page 6
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Showing 949 open source projects for "rust"
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gluon
A static, type inferred and embeddable language written in Rust
...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. -
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Soldeer
Solidity Package Manager written in rust and integrated into Foundry
Soldeer is a package manager for Solidity, built in Rust and integrated into Foundry. It addresses the complexities of Solidity development by providing a dedicated tool for managing dependencies, avoiding the limitations of git submodules and npmjs, which are not tailored for the Solidity ecosystem. Soldeer aims to streamline the development workflow for Solidity developers. -
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Arroyo
Distributed stream processing engine in Rust
Arroyo is a distributed stream processing engine written in Rust, designed to efficiently perform stateful computations on streams of data. Unlike traditional batch processing, streaming engines can operate on both bounded and unbounded sources, emitting results as soon as they are available. -
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TarpC
An RPC framework for Rust with a focus on ease of use
tarpc is an asynchronous RPC framework for Rust that embraces Rust’s type system and futures to generate ergonomic client and server stubs. Services are declared in pure Rust, and procedural macros expand those definitions into request/response types, trait implementations, and strongly typed stubs. The framework is transport-agnostic: it commonly uses Tokio with serde-based codecs, but you can plug in your own framing and serialization. -
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rspirv
Rust implementation of SPIR-V module processing functionalities
rspirv is a Rust-based parser, builder, and disassembler for SPIR-V, the intermediate binary format used in Vulkan and OpenCL for shaders and compute kernels. It’s part of the gfx-rs ecosystem, a suite of graphics tools aiming to provide cross-platform rendering capabilities in Rust. rspirv enables manipulation and inspection of SPIR-V modules, which is useful in shader compilers, graphics drivers, and development tools for low-level GPU programming. -
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Zinnia
Runtime for worker nodes executing modules
Zinnia is a runtime for Filecoin Station modules. It provides a sandboxed environment to execute untrusted code on consumer-grade computers. Zinnia is a sandboxed and resource-limited runtime for distributed workers. This crate provides the zinnia executable to run modules locally, e.g. while developing. -
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IndraDB
A graph database written in rust
A graph database written in rust. IndraDB consists of a server and an underlying library. Most users would use the server, which is available via releases as pre-compiled binaries. But if you're a rust developer that wants to embed a graph database directly in your application, you can use the library. IndraDB's original design is heavily inspired by TAO, facebook's graph datastore. -
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GCSF
a FUSE file system based on Google Drive
...As such, it might take a while before I get around to fixing known bugs / implementing feature requests / responding to open issues. Thank you for understanding and for expressing sustained interest in this project. GCSF requires the stable branch of the Rust programming language, which can be installed following the instructions on rustup.rs. If you already have Rust installed, make sure that it is updated to the latest version (≥1.26). Make sure you have pkg-config and the fuse library installed. These are usually found in the package repositories of major distributions. Rust can be installed via the lang/rust port. ... -
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markdown-rs
CommonMark compliant markdown parser in Rust with ASTs and extensions
markdown-rs is an open-source markdown parser written in Rust. It’s implemented as a state machine (#![no_std] + alloc) that emits concrete tokens, so that every byte is accounted for, with positional info. The API then exposes this information as an AST, which is easier to work with, or it compiles directly to HTML. While most markdown parsers work towards compliancy with CommonMark (or GFM), this project goes further by following how the reference parsers (cmark, cmark-gfm) work, which is confirmed with thousands of extra tests. ... -
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best-claude-hud
Minimal Claude Code statusline HUD powered by Rust
best-claude-hud is a fast Rust-based status line for Claude Code terminal sessions. It displays the active model, available reasoning effort, launch directory, Git state, and context-window consumption in a compact interface. Optional segments can also show usage limits, cost, session details, output style, and update information. The npm package installs prebuilt native binaries, so users do not need a Rust toolchain. -
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Starknet Foundry
Blazing fast toolkit for developing Starknet contracts
Starknet Foundry is a fast development toolkit for building and testing Starknet smart contracts. It is written in Rust and built around native Cairo testing and Starknet-specific execution infrastructure. The project includes snforge for contract testing and sncast for interacting with deployed Starknet contracts from the command line. It is useful for developers who need testing, deployment, transaction handling, chain data access, and contract interaction tools in one workflow. ... -
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Sail
A drop-in Apache Spark replacement written in Rust
Sail is an open-source distributed computation framework designed to unify batch processing, stream processing, and AI workloads into a single, high-performance engine. It is built entirely in Rust, eliminating JVM overhead and enabling predictable performance, fast startup times, and improved memory safety compared to traditional big data frameworks. Sail is compatible with the Spark Connect protocol, which means existing Spark SQL and DataFrame workloads can run without code changes, making adoption seamless for teams already using Spark-based pipelines. ... -
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Pumpkin
Empowering everyone to host fast and efficient Minecraft servers
Pumpkin is an open-source Minecraft server implementation written entirely in the Rust programming language with the goal of delivering high performance, efficiency, and modern architecture for hosting multiplayer worlds. Unlike the original Java-based server, Pumpkin focuses on leveraging Rust’s memory safety and performance advantages to create a fast and stable server environment. The project aims to replicate the core mechanics and gameplay of Minecraft while providing a flexible foundation for customization and optimization. ... -
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Servo
Embed web technologies in applications
Servo is an experimental, highly parallel, and embeddable browser rendering engine written in Rust. It leverages Rust’s memory-safety and concurrency strengths, supports modern GPU-powered rendering (WebGL/WebGPU), and serves as a research-forward alternative to traditional browser engines. Servo is a prototype web browser engine written in the Rust language. It is currently developed on 64-bit macOS, 64-bit Linux, 64-bit Windows, 64-bit OpenHarmony, and Android. -
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kube-rs
Rust Kubernetes client and controller runtime
A Rust client for Kubernetes in the style of a more generic client-go, a runtime abstraction inspired by controller-runtime, and a derive macro for CRDs inspired by kubebuilder. Hosted by CNCF as a Sandbox Project. These crates build upon Kubernetes API machinery + API concepts to enable generic abstractions. These abstractions allow Rust reinterpretations of reflectors, controllers, and custom resource interfaces so that you can write applications easily. -
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Taplo
A TOML toolkit written in Rust
...Validate TOML documents syntactically or against JSON schemas. Formatter with fine-grained options. Embeddable language server with features based on JSON schemas. Available wherever Rust compiles. Taplo CLI aims to be an one stop shop tool for working with TOML files via the command line. The features include validation, formatting, and querying TOML documents with a jq-like fashion. -
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Tauri
Build smaller, faster, and more secure desktop applications
Tauri is an open-source framework for building lightweight and high-performance desktop and mobile applications using web technologies. It allows developers to create user interfaces with HTML, CSS, and JavaScript while using Rust for the backend logic. By leveraging the operating system’s native WebView instead of bundling a full browser, Tauri produces significantly smaller and more efficient application binaries. The framework supports multiple front-end frameworks such as React, Vue, Svelte, and others that compile to web technologies. Tauri provides a secure bridge between the frontend and the Rust backend, enabling native functionality while maintaining strong security practices. ... -
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Harper
Offline, privacy-first grammar checker
Harper is an offline, privacy-first English grammar checker written primarily in Rust. It analyzes writing locally, avoiding the latency and data exposure associated with cloud-only services. The engine is designed to lint documents in milliseconds while using a small memory footprint. It can run through WebAssembly in browsers and applications or through native command-line and language-server components. Official integrations support editors and tools including Visual Studio Code, Neovim, Helix, Emacs, Zed, and Obsidian. ... -
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Zellij
A terminal workspace with batteries included
Zellij is a Rust-based terminal workspace tool—similar to tmux or screen—designed for both ease of use and configurability. It provides multi-pane and tab support, floating and stacked panes, session persistence, customizable layouts, mouse interaction, and a plugin system using WebAssembly. It supports multiplayer collaboration and works out-of-the-box while offering power users deep customization. -
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Linfa
A Rust machine learning framework
linfa aims to provide a comprehensive toolkit to build Machine Learning applications with Rust. Kin in spirit to Python's scikit-learn, it focuses on common preprocessing tasks and classical ML algorithms for your everyday ML tasks. -
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Hermit Kernel
A Rust-based, lightweight unikernel
Hermit Kernel is the core component of HermitCore, a Rust-based unikernel that runs directly on hypervisors or bare-metal systems to support high-performance cloud and HPC applications. This repository contains the microkernel’s implementation, optimized for running Rust applications natively in a lightweight, single-address-space environment. Hermit Kernel is designed to reduce latency and overhead by avoiding traditional OS abstractions, while still providing essential services such as scheduling, memory management, and networking. ... -
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Peroxide
Rust numeric library with high performance and friendly syntax
...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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spaceman
Treemap disk usage analyzer: In search of lost space
Treemap disk usage analyzer: In search of lost space (a.k.a. wata-analyzer) -
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bore
bore is a simple CLI tool for making tunnels to localhost
...(bore totals less than 400 lines of safe, async Rust code and is trivial to set up — just run a single binary for the client and server.) The easiest way to install bore is from prebuilt binaries. These are available on the releases page for macOS, Windows, and Linux. Just unzip the appropriate file for your platform and move the bore executable into a folder on your PATH. You also can build bore from source using Cargo, the Rust package manager. -
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ort
Fast ML inference & training for ONNX models in Rust
ort is a high-performance Rust library that provides bindings to ONNX Runtime, enabling developers to run machine learning inference and training workflows directly within Rust applications using the standardized ONNX model format. It is designed to bridge the gap between modern machine learning frameworks and systems programming by offering a safe, ergonomic API for executing models originally built in ecosystems like PyTorch, TensorFlow, or scikit-learn.