Search Results for "unit-api" - Page 3
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Showing 153 open source projects for "unit-api"
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Bevy
A refreshingly simple data-driven game engine built in Rust
...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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IronCalc
Main engine of the IronCalc ecosystem
IronCalc is a new, modern, work-in-progress spreadsheet engine and set of tools to work with spreadsheets in diverse settings. IronCalc is a lightweight, open-source computational engine designed for performing mathematical operations, formula calculations, and data-driven tasks. -
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Meteroid
Open-source pricing and billing infrastructure
Meteroid is an open-source, cloud-native pricing and billing infrastructure designed to support usage-based billing, subscription management, invoicing, and cost-tracking — particularly for SaaS or product-led businesses that need flexible billing models beyond flat subscriptions. It provides an API-driven billing engine: you feed Meteroid usage data from your application (e.g. API calls, storage usage, seats, feature usage), define custom pricing rules or plans, and Meteroid calculates charges, generates invoices, tracks usage, and supports cost limits or quotas. The system is written in Rust, emphasizing performance, reliability, and safety, making it suitable for production use in small startups up to large enterprises. ... -
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terminal-browser
A browser that runs directly inside your existing terminal
...It renders browser pixels through terminals that support the Kitty graphics protocol, including Ghostty, Kitty, cmux, and compatible VS Code environments. Electron’s offscreen rendering API captures Chromium output directly from the GPU for smooth display. Mouse, keyboard, scrolling, and trackpad input are translated into browser events, with a background Swift component handling signals the terminal cannot expose. A Rust graphics engine draws the browser shell, while React and TypeScript define its interface through a custom renderer. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Summa
Full-text IPFS-friendly and WASM-compatible Search in Rust
Summa is a full-text IPFS-friendly search engine that may be launched on both large servers and inside your browser. Thanks to the embedded IPFS daemon, your data can be replicated and published through P2P, allowing for a truly distributed and uncensorable search experience. And, thanks to compatibility with WASM, Summa can be launched entirely inside your browser, enabling you to search in network-published indices without ever having to execute search queries on remote servers. -
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Daft
Distributed DataFrame for Python designed for the cloud
...Underneath its Python API, Daft is built in blazing fast Rust code. Rust powers Daft’s vectorized execution and async I/O, allowing Daft to outperform frameworks such as Spark. -
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fluent-rs
Rust implementation of Project Fluent
The fluent-rs workspace is a collection of Rust crates implementing Project Fluent, a localization system designed to unleash the entire expressive power of natural language translations. Project Fluent keeps simple things simple and makes complex things possible. The syntax used for describing translations is easy to read and understand. At the same time it allows, when necessary, to represent complex concepts from natural languages like gender, plurals, conjugations, and others. -
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DashMap
Blazing fast concurrent HashMap for Rust
Blazingly fast concurrent map in Rust. DashMap is an implementation of a concurrent associative array/hashmap in Rust. DashMap tries to implement an easy-to-use API similar to std::collections::HashMap with some slight changes to handle concurrency. DashMap tries to be very simple to use and to be a direct replacement for RwLock<HashMap<K, V>>. To accomplish these goals, all methods take &self instead of modifying methods taking &mut self. This allows you to put a DashMap in an Arc<T> and share it between threads while still being able to modify it. ... -
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Moltis
A Rust-native claw you can trust
...The platform also includes long-term memory powered by hybrid vector and full-text search, allowing the assistant to retain context across sessions. With multi-channel access such as web UI, Telegram, and API endpoints, Moltis functions as a unified automation hub intended for developers and advanced users who want full control. -
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OpenAI Harmony
Renderer for the harmony response format to be used with gpt-oss
...It defines a structured way for language models to produce outputs, including regular text, reasoning traces, tool calls, and structured data. By mimicking the OpenAI Responses API, Harmony provides developers with a familiar interface while enabling more advanced capabilities such as multiple output channels, instruction hierarchies, and tool namespaces. The format is essential for ensuring gpt-oss models operate correctly, as they are trained to rely on this structure for generating and organizing their responses. ... -
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Russh
Rust SSH client & server library
...It exposes building blocks for authentication, channel management, port forwarding, and key handling, allowing you to embed SSH functionality directly into Rust applications. The API is designed to be explicit and composable, making it possible to implement custom behaviors like reverse tunnels, interactive shells, and service multiplexing. Because performance and safety are central, the code leverages Rust’s type system to reduce classes of runtime errors common in network protocol implementations. The project also includes examples and discussion threads that show how other tools integrate it for web-based clients or gateway services. ... -
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Forge Code
AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek
...Rather than requiring a separate UI or web-based IDE, Forge respects the developer’s existing habits and setups, and keeps all operations local, ensuring your code doesn’t get sent to unknown external services — a strong point for privacy and security. It supports many model providers (e.g. GPT, Claude, Grok, and others) via API keys. -
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graphql_client
Typed, correct GraphQL requests and responses in Rust
...Supports multiple operations per query document. Supports setting GraphQL fields as deprecated and having the Rust compiler check their use. Optional reqwest-based client for boilerplate-free API calls from browsers. Implicit and explicit null support. -
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AutoCLI
AutoCLI is a Blazing fast, memory-safe command-line tool
AutoCLI is a Rust-based command-line tool for retrieving and controlling information across websites, browser sessions, desktop applications, and local developer tools. It provides hundreds of commands for more than 55 services, including social networks, video platforms, news sources, and community sites. A Chrome extension can reuse existing login sessions, avoiding separate token management for browser-only operations. Declarative YAML pipelines let users create adapters without writing... -
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Leptos
Build fast web applications with Rust
Leptos is a full‑stack Rust framework for building web apps that supports client-only SPAs, SSR/MPR rendered on the server, and hydrated progressive apps. It offers fine‑grained reactivity, server functions, and cohesive front‑end/backend code using shared Rust abstractions. -
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Turso Database
Turso is an in-process SQL database, compatible with SQLite
Turso is an in-process SQL database written in Rust and designed to stay compatible with SQLite. It supports SQLite’s SQL dialect, file formats, and C API while adding newer database capabilities. The project is currently in beta, so it is best used with care and proper backups for production data. Turso includes support for concurrent writes through MVCC, change data capture, and faster schema management. It offers bindings and integrations across languages such as Rust, JavaScript, Go, Python, Java, .NET, and WebAssembly. ... -
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AgentENV
Distributed platform for running agent environments at scale
...The platform includes an aenv command-line interface for creating templates, starting shells, executing commands, and managing sandbox lifecycles. Its E2B-compatible HTTP API lets existing Python and TypeScript integrations target a self-hosted deployment with minimal changes. AgentENV is designed for high-density agentic reinforcement learning and currently requires trusted-network deployment because built-in authorization is not yet available. -
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Dominator
Zero-cost ultra-high-performance declarative DOM library using FRP
...The library is designed to be “zero-cost,” meaning that abstractions compile down to highly optimized code with no unnecessary runtime overhead. Updates are handled in constant time regardless of application size, making it highly scalable for complex interfaces. Its API is inspired by component-based frameworks like React, but tailored to Rust’s ownership model and compiled to WebAssembly for browser execution. By avoiding the virtual DOM, it eliminates diffing overhead and provides direct control over DOM operations for improved performance. -
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Cog
Package and deploy machine learning models using Docker containers
...Cog also resolves compatibility issues between frameworks and GPU libraries by automatically selecting compatible combinations of CUDA, cuDNN, and machine learning frameworks such as PyTorch or TensorFlow. Cog automatically generates a RESTful HTTP API for running predictions, enabling models to be accessed programmatically through a built-in prediction server. -
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BaseRT
Fastest LLM inference runtime for Apple Silicon
BaseRT is a local large language model inference runtime optimized for Apple Silicon computers. It accelerates model execution through hand-written Metal kernels and requires an M1 or newer Mac running macOS 14 or later. A unified command-line interface can download models from Hugging Face, convert checkpoints, launch chats, benchmark performance, and inspect model packages. Its server implements OpenAI-compatible chat, completion, embedding, transcription, tool-calling, and multimodal... -
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Torrust Tracker
A modern and feature-rich (private) BitTorrent tracker
Torrust Tracker is a modern, feature-rich BitTorrent tracker implemented in Rust, designed to serve both private and public torrent communities. It offers high performance and scalability, ensuring efficient peer management and data exchange. With a focus on modularity, Torrust Tracker allows for easy customization and integration with other systems. Its robust architecture supports various deployment scenarios, catering to the needs of different user bases. -
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reqwest
An easy and powerful Rust HTTP Client
...It handles many of the things that most people just expect an HTTP client to do for them. The reqwest::Client is asynchronous. For applications wishing to only make a few HTTP requests, the reqwest::blocking API may be more convenient. There are several ways you can set the body of a request. The basic one is by using the body() method of a RequestBuilder. This lets you set the exact raw bytes of what the body should be. -
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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. The library emphasizes speed and efficiency, leveraging hardware acceleration across CPUs, GPUs, and specialized accelerators to deliver low-latency inference both on-device and in server environments. One of its key strengths is its flexibility, as it supports multiple backends and allows developers to configure execution providers depending on available hardware. ort also includes advanced capabilities such as model compilation and optimization, reducing startup time and improving runtime performance in production systems. -
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derive(Error)
derive(Error) for struct and enum error types
...The goal is to enable library authors to build expressive, typed error types, with readable Display implementations (via #[error("...")] annotations) as well as From conversions (#[from]), source tracking (#[source]), and optionally backtraces. It is designed so that switching from handwritten error implementation to using this error is not a breaking change: you retain the same API. The README shows examples: an enum with variants annotated by #[error("…")] and #[from] fields to derive the appropriate trait impls. The crate expects rustc ≥ 1.68+. The README also outlines how you choose; use thiserror if you care about designing your own error-types (e.g., for libraries) vs anyhow for applications. -
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ROAPI
Create full-fledged APIs for slowly moving datasets without writing
...ROAPI automatically spins up read-only APIs and query frontends for slowly moving datasets without requiring you to write a single line of code. It builds on top of Apache Arrow and Datafusion. Query frontends to translate SQL, GraphQL and REST API queries into Datafusion plans. Datafusion for query plan execution. Data layer to load datasets from a variety of sources and formats with automatic schema inference. Response encoding layer to serialize intermediate Arrow record batch into various formats requested by the client. Its pluggable query core design makes it possible for users to efficiently perform join queries across a diverse set of data sources from simple CSV/Parquet files in Data warehouses to MySQL/Postgres, to SASS-like Google spreadsheets.