Mermaid is a mature, browser-oriented TypeScript monorepo that renders Markdown-like text definitions into SVG diagrams. In production it supports over 20 diagram families (flowchart, sequence, class, state, gantt, mindmap, pie, git, ER, C4, sankey, block, agentflow, and more), with a pipeline that detects diagram type from text, lazily loads a parser, builds a diagram-specific data model, and renders through a shared rendering-util layer. Parsing is split across Langium, Chevrotain, and legacy JISON grammars; layout is provided by dagre, ELK, a custom swimlane/orthogonal router, and tidy-tree plugins. The public API (initialize/run/parse/registerExternalDiagrams) makes this a plugin-extensible library rather than a standalone application, though it also ships a local editor, dev-explorer, and extensive e2e tooling. The codebase shows high engineering craft: CI is extensive with Vitest, Playwright visual regression, code coverage, security scanning, dependency automation, and changesets for versioning. Accessibility, XSS sanitization, and config validation are treated as first-class concerns. The theme system is particularly well-structured, managing multiple looks and color palettes through a centralized color-theme gate. The primary weaknesses are scale-driven: mixed parser ecosystems, a very large config surface, many beta diagram types, and highly intricate layout code that is expensive to change. It is neither a data-research repository nor a service; its research-like components are the layout algorithms and geometry validation, which remain embedded in a library architecture.
TTGTagCollectionView is a production-ready iOS UI library that renders collections of tags/chips in a flowing, wrap-aware layout. The two principal entry points are `TextTagCollectionView`, which displays styled text tags driven by a datasource of `TextTag` model objects, and `TagCollectionView`, a generic container for arbitrary `UIView` tags using a delegate/datasource pattern. Tags are plain in-memory model objects — there is no persistence, networking, or data pipeline. The library is Swift-first with an intentional `@objc` compatibility surface preserving the pre-3.0 Objective-C API, and it ships with CocoaPods and Swift Package Manager support plus a `TagCloudView` SwiftUI wrapper.
This repository is the DesignCompose SDK, a production-grade Android library that renders Figma designs as native Jetpack Compose UI. It provides a complete pipeline: Figma plugins for designers (extended layout, animation timeline, auto-content preview), a Rust-based import crate (`dc_figma_import`) that fetches and caches Figma documents, a layout engine (`dc_layout`) wrapping the Taffy flexbox library, and a Kotlin runtime (`designcompose`) that resolves variants, handles interactions, and renders via Compose. The architecture is modular with clear separation: Rust crates handle data ingestion and layout computation, Kotlin modules provide the public API and rendering, and Gradle plugins automate Rust cross-compilation and Figma token management. The codebase includes extensive tests (unit, integration, Roborazzi screenshot, benchmarks) and reference apps (Tutorial, HelloWorld, Cluster Demo, AAOS Media Center). It supports live updates via polling or WebSocket, incremental document fetching, variable theming, and complex animations (smart animate, keyframe timelines). The repository is actively maintained with frequent commits, a versioned protobuf schema, and a CI/CD pipeline. While the multi-language stack (Kotlin, Rust, TypeScript) adds complexity, the code demonstrates strong engineering practices with reusable patterns in caching, layout, and animation.
This repository provides a full port of AndroidX ConstraintLayout and MotionLayout for Compose Multiplatform, enabling declarative, constraint-based layouts and keyframe animations across Android, iOS, Desktop, macOS, and Web (Wasm). The library is published as `tech.annexflow.compose:constraintlayout-compose-multiplatform` and includes a complete Kotlin Multiplatform implementation of the core constraint solver, motion engine, JSON5 parser, and Compose DSL. It supports both inline DSL and JSON-based constraint definitions, with experimental MotionLayout for animated transitions between constraint sets, including swipe gestures, keyframes, and custom easing curves. Architecturally, the project is split into a `compose` module containing the Compose-specific composables (`ConstraintLayout`, `MotionLayout`, `ConstraintSet`, `Transition`) and a `core` module that houses the platform-agnostic constraint solving engine (`LinearSystem`, `SolverVariable`, `ConstraintWidget`), motion interpolation (`CurveFit`, `Easing`, `StopLogicEngine`), and a custom JSON5 parser (`CLParser`). The sample app demonstrates various use cases such as collapsible toolbars, carousels, puzzle layouts, and swipe-driven transitions. The codebase is well-tested with extensive unit tests for both the core engine and Compose integration, and includes CI pipelines for building and validation. The library is actively maintained with recent commits and responsive issue triage. While it is a port of an AndroidX library, it has been adapted for multiplatform use with platform-specific expect/actual declarations for logging, weak references, and debug rendering. The code exhibits high craftsmanship in areas like the custom linear solver, motion interpolation algorithms, and the JSON parser, making it a valuable resource for developers needing advanced layout and animation capabilities in Compose Multiplatform projects.
The Adobe Source Libraries (ASL) is a collection of reusable C++ libraries designed as Boost-compatible extensions for generic programming. It provides algorithms, data structures, property modeling (Adam/UI layout (Eve)), type erasure, serialization, and concurrency utilities. The library is header-forward with select implementation files, targeting integration into applications rather than serving as a standalone end-user product. Architecture emphasizes value semantics, concept-based design, and separation of concerns (e.g., Adam's constraint solver decoupled from Eve's layout engine). Build system uses CMake with GitHub Actions CI, and extensive unit tests validate components via Boost.Test.