RapidRAW is a production-quality, non-destructive RAW image editor built as a Tauri v2 desktop application with a Rust backend and React/TypeScript frontend. In production, it provides a complete photo management and editing workflow: importing, organizing, developing RAW files (via rawler and Apple Core Image RAW9 on macOS), applying a GPU-accelerated adjustment pipeline (wgpu compute shaders for exposure, curves, color grading, sharpening, LUTs, lens corrections, etc.), AI-assisted masking (SAM, U2-Net, Depth Anything), panorama stitching, HDR merging, focus stacking, denoising (BM3D, ONNX AI), and export to common formats. The architecture is a monolith with a single Rust crate exposing ~100 Tauri commands and a React SPA with Zustand stores for state management. Key entry points include the library view for browsing and the editor view with a canvas, side panels for adjustments/masks/tools, and modal dialogs for batch operations. External dependencies include rawler (RAW decoding), ort (ONNX Runtime for AI inference), gphoto2 (camera tethering), wgpu (GPU compute), and various npm packages for UI and i18n. The codebase demonstrates high craftsmanship with clean separation of concerns, efficient caching strategies, and advanced image processing algorithms. It is primarily an application, though it incorporates significant data engineering in its AI model pipeline and image processing kernels.
A comprehensive, isomorphic JavaScript audio processing library engineered for editing, analysis, playback, and encoding. It is non-destructive and stream-first, utilizing a paged in-memory architecture with optional OPFS caching and a Web Worker facade for off-main-thread execution. The library exposes a declarative operation (op) and statistics (stat) plugin system, enabling custom DSP atoms to be composed into serializable edit plans with undo/redo support. It includes a CLI for batch processing and a hand-rolled MCP server for AI-agent integration, plus a polished web demo and workshop pages. The codebase spans core engine modules, 50+ built-in operations (gain, fade, filters, reverb, pitch, stretch, loudness normalization, denoising, etc.), and a large ecosystem of @audio/* dependencies for codecs and advanced effects. It is tested across browser (Playwright) and Node, with benchmark comparisons against SoX, FFmpeg, librosa, and Pedalboard. While the architecture is sophisticated and well-documented, the repository exhibits some over-engineering, a very large test suite that is brittle, and identified production defects (e.g., loudness normalization clipping) that undermine its polish.