A cross-platform camera library for Rust, built with data-oriented design. Explicit format negotiation, push-based frame delivery, typed errors, and zero trait objects.
Dioxus integration for the chimeras camera library. Provides a preview server, frame registry, camera pump, a use_camera_stream hook, and a StreamPreview component for rendering live chimeras frames inside a Dioxus desktop app via WebGL2.
A Mock API for every need and more
High-performance echo server for WAF throughput testing
Claude Code backend for the chimera AI agent SDK
Codex backend for the chimera AI agent SDK
Shared traits, types, and transport for the chimera AI agent SDK
OpenCode/OpenAI-compatible REST backend for the chimera AI agent SDK
Unified async Rust SDK for AI coding agents (Claude Code, Codex, OpenCode)
Hyperscan bindings for Rust with Multiple Pattern and Streaming Scan
Hyperscan bindings for Rust with Multiple Pattern and Streaming Scan
Using all-against-all read mapping, yacrd performs: computation of pile-up coverage for each read and detection of chimeras
Chimera is an object mapper for Riak and Redis. The idea is to mix the advantages of Riak (scalability, massive data storage) with Redis (atomicity, performance, data structures). You should store the bulk of your data in Riak, and then use Redis data structures where appropriate (for example, a counter or set of keys). Internally, Chimera uses Redis for any indexes you define as well as some default indexes that are automatically created. There's no built in sharding for Redis, but since it's only being used for key storage and basic data elements you should be able to go a long way with one Redis server (especially if you use the new Redis VM). !! Chimera is alpha. It's not production tested and needs a better test suite. !! !! It's also only tested in Ruby 1.9. !!
The Chimera http client offers an easy to learn interface and consistent error handling. It is lightweight, fast and enables you to queue HTTP requests to run them in parallel for better performance and simple aggregating of distributed data. Despite it's simple interface it allows for advanced features like using custom deserializers, loggers, caching requests individiually, and instrumentation support (soon to be implemented).