Search Results for "api" - Page 3
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Showing 128 open source projects for "api"
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AIChat
All-in-one LLM CLI tool featuring Shell Assistant
AIChat is a lightweight terminal-based chatbot powered by GPT models, enabling AI-driven conversations directly from the command line. -
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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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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. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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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. -
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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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Rewriting Project Claw Code
Ensure consistency and alignment between different codebases
...It may include automation tools that detect differences and enforce standards across repositories. The tool is useful in scenarios such as maintaining parity between frontend and backend logic, ensuring API consistency, or synchronizing multiple deployments. Its design promotes reliability and reduces the risk of divergence in complex systems. Overall, Claw Code Parity helps teams maintain cohesion across their codebases while improving development efficiency and quality assurance. -
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SlateDB
A cloud native embedded storage engine built on object storage
...Leveraging object storage allows SlateDB to provide bottomless storage capacity, high durability, and easy replication. The trade-off is that object storage has a higher latency and higher API cost than local disk. To mitigate high write API costs (PUTs), SlateDB batches writes. Rather than writing every put() call to object storage, MemTables are flushed periodically to object storage as a string-sorted table (SST). The flush interval is configurable. To mitigate write latency, SlateDB provides an async put method. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Neon Database
Neon: Serverless Postgres. We separated storage and compute
The database you love, on a serverless platform designed to help you build reliable and scalable applications faster. Focus on building applications with time and money-saving features like instant provisioning, autoscaling according to load, and scale to zero. Instantly branch your data and schema to access isolated DB copies for development, CI/CD, and schema migrations with copy-on-write storage. Integrate it into your language or framework within minutes and unlock a simpler developer... -
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ReductStore
The fastest time series object store for Edge AI
...Manage your time-series blob data with ease: annotate, filter, and save AI labels or meta-data. Integrate and communicate with ReductStore using our feature-rich and secure API. -
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agentgateway
Next Generation Agentic Proxy for AI Agents and MCP servers
Agentgateway is an open-source “data plane” built specifically for agentic AI connectivity, focusing on how agents talk to other agents and to tools across different frameworks and environments. It presents itself as a complete connectivity solution that adds drop-in security, observability, and governance to agent-to-agent and agent-to-tool communication without requiring you to rebuild your agent stack. The project supports interoperable protocols designed for this ecosystem, including... -
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CocoIndex
ETL framework to index data for AI, such as RAG
CocoIndex is an open-source framework designed for building powerful, local-first semantic search systems. It lets users index and retrieve content based on meaning rather than keywords, making it ideal for modern AI-based search applications. CocoIndex leverages vector embeddings and integrates with various models and frameworks, including OpenAI and Hugging Face, to provide high-quality semantic understanding. It’s built for transparency, ease of use, and local control over your search... -
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Actix
Actor framework for Rust
...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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SurrealDB
A scalable, distributed, collaborative, document-graph database
With an SQL-style query language, real-time queries with highly-efficient related data retrieval, advanced security permissions for multi-tenant access, and support for performant analytical workloads, SurrealDB is the next generation serverless database. SurrealDB is the ultimate cloud database for tomorrow's applications. SurrealDB is an innovative NewSQL cloud database, suitable for serverless applications, jamstack applications, single-page applications, and traditional applications. It... -
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Findomain
Fast open source tool for discovering and monitoring domain subdomains
Findomain is an open source reconnaissance tool designed to discover and enumerate subdomains associated with a target domain. It focuses on speed and reliability by using Certificate Transparency logs and multiple well tested public APIs instead of relying solely on brute force scanning techniques. By querying multiple passive data sources in parallel, the tool can identify a large number of subdomains within a short time, making it useful for security researchers, penetration testers, and... -
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Cube
Universal semantic layer platform for AI, BI, spreadsheets
...Cube was designed to work with all SQL-enabled data sources, including cloud data warehouses like Snowflake or Google BigQuery, query engines like Presto or Amazon Athena, and application databases like Postgres. Cube has a built-in relational caching engine to provide sub-second latency and high concurrency for API requests. -
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mistral.rs
Fast, flexible LLM inference
mistral.rs is a fast and flexible LLM inference engine implemented in Rust, designed to run and serve modern language models with an emphasis on performance and practical deployment. It provides multiple entry points for developers, including a CLI for running models locally and an HTTP server that exposes an OpenAI-compatible API surface for easy integration with existing clients. The project includes hardware-aware tooling that can benchmark a system and choose sensible quantization and device-mapping strategies, helping users get strong performance without manual tuning. It also supports serving multiple models from the same server process, enabling routing or quick switching between models depending on workload needs. ... -
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Quickwit
Sub-second search & analytics engine on cloud storage
Sub-second search & analytics engine on cloud storage. Quickwit is the fastest search engine on cloud storage. Quickwit has an Elasticsearch-compatible Ingest-API to make it easier to migrate your log shippers (Vector, Fluent Bit, Syslog, ...) to Quickwit. However, we only support ES aggregation DSL, the query DSL support is planned for Q2 2023. The core difference and advantage of Quickwit are its architecture built from the ground to search on cloud storage. We optimized IO paths, revamped the index data structures and made search stateless and sub-second on cloud storage. ... -
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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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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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libsignal
Home to the Signal Protocol and other cryptographic primitives
libsignal is the foundational cryptographic library that implements the Signal Protocol and other essential primitives used across the official Signal clients and servers, enabling secure end-to-end encrypted communication. Written primarily in Rust with bindings and APIs surfaced for Java, Swift, and TypeScript, this library encapsulates critical algorithms like the Double Ratchet, prekey mechanisms, secure key storage, and zero-knowledge group primitives, along with additional utilities... -
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rustix
Safe Rust bindings to POSIX-ish APIs
...It uses Results for reporting errors, bitflags instead of bare integer flags, an Arg trait with optimizations to efficiently accept any Rust string type, and several other efficient conveniences. rustix is low-level and, and while the net API supports Windows Sockets 2 (Winsock), the rest of the APIs do not support Windows; for higher-level and more portable APIs built on this functionality, see the cap-std, memfd, timerfd, and io-streams crates. -
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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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Lingua-RS
The most accurate natural language detection library for Rust
Lingua-RS is a language detection library implemented in Rust, designed to accurately identify the language of given text samples. It tells you which language some text is written in. This is very useful as a preprocessing step for linguistic data in natural language processing applications such as text classification and spell checking. Other use cases, for instance, might include routing e-mails to the right geographically located customer service department, based on the e-mails' languages.
