refern. VS cppq

• Infinite Canvas
  Arrange references on an infinite spatial canvas with layers, text, and groups.
• Canvas Drawing & Shapes
  Freehand pen with pressure, eraser, 9 shape tools, and color swatches.
• In-App Image Cropping
  Crop images in place or save as a new copy, with crop provenance tracked.
• Image Filters
  Adjust brightness, contrast, saturation, and hue on images and canvas elements.
• Never Copies Your Files
  References images from your own folders. No proprietary library, no doubled disk.
• Relationship Graph View
  Navigate your library as a graph of folders, tags, canvases, and linked images.
• Visual Similarity Search
  Find similar images locally with a built-in feature vector. No uploads, no API cost.
• Color Search
  Search your library by hex code or dominant color with fast local scoring.
• Operator Search
  Full-text search with 16 inline operators like type:, tag:, rating:>=3, and color:.
• Hierarchical Tags
  Parent-child hierarchies, tag groups, linked tags, and macros for bulk tagging.
• Smart Folders
  Saved multi-condition searches that stay up to date automatically.
• Image Grouping
  Stack related references into groups shown as fan cards in the grid.
• Cross-References & Backlinks
  Link any asset to any other and see backlinks across folders and canvases.
• Grid Layout Modes
  Masonry, justified, and horizontal layouts, set globally or per folder.
• Duplicate Detection
  Find duplicate images by perceptual hash with an is:duplicate query.
• Metadata Management
  Rating, color labels, description, notes, source URL, creator, and custom fields.
• Directory Metadata Presets
  Auto-apply tags and metadata when files are added to a folder.
• EXIF / IPTC / XMP Import
  Read embedded tags and ratings from images for DAM interoperability.
• Import Staging
  Drag, drop, or paste images into a staging area with metadata pre-fill and dedup.
• Browser Extension
  Save images from the web with hover buttons and batch save (Chrome, Firefox, Safari).
• Eagle Import
  Migrate an existing Eagle library into refern.
• Disk Sync
  Detect external file changes and reconcile your library with what is on disk.
• Timed Study Mode
  Full-screen reference practice sessions with configurable duration and count.
• Pin Window On Top
  Always-on-top mode keeps references visible while you work.
• Window Transparency
  Adjustable window opacity for overlay reference.
• Click-Through Mode
  Interact with apps beneath the transparent window.
• Desktop Screenshot Tool
  Capture your screen directly into your library.
• Scales to Millions of Images
  Streaming indexer handles 2M+ file libraries with bounded memory.
• RAW & HEIC Support
  Decodes camera RAW, HEIC, SVG, and standard image formats into thumbnails.
• Directory Customization
  Custom folder icons, cover images, and backgrounds in the tree and grid.
• Local-First & Private
  Works fully offline. No account, no telemetry. Files stay on your disk.

• Lightweight C++ implementation
  cppq is written in modern C++ and designed to be a minimal, efficient task queue library, making it a good fit for performance-sensitive applications where the overhead of scripting language runtimes is undesirable.
• Redis-backed reliability
  Built on top of Redis as the message broker, cppq benefits from Redis's persistence, atomic operations, and wide adoption, giving the queue system durability and the ability to survive process restarts.
• Inspired by proven design (asynq)
  The library's architecture mirrors the popular Go asynq task queue, so it inherits a well-thought-out API design for task enqueueing, retries, and worker processing patterns that have already been validated in production systems.
• Native integration for C++ projects
  For teams already working in a C++ codebase, cppq allows adding background job processing without needing to introduce a separate service written in another language (like Go or Python), simplifying the technology stack.
• Open source and inspectable
  Being open source on GitHub, developers can review the source code, modify it for custom needs, and contribute improvements, which offers transparency not available with closed-source queueing solutions.

Possible disadvantages

• Limited maturity and battle-testing
  Compared to established task queue libraries like Sidekiq, Celery, or asynq itself, cppq is a newer and smaller project with less real-world production usage, which may translate into undiscovered bugs or edge cases.
• Smaller community and ecosystem
  Because it has far fewer users and contributors than mainstream task queue systems, finding community support, third-party tutorials, or pre-built integrations is more difficult.
• Documentation gaps
  As a smaller project, cppq may have less comprehensive documentation compared to major task queue frameworks, requiring developers to read source code directly to understand advanced features or edge-case behaviors.
• C++ build and dependency complexity
  Using cppq requires managing C++ build toolchains and dependencies (such as a Redis client library), which can be more cumbersome than installing a package via pip or npm in other ecosystems.
• Fewer built-in features and tooling
  cppq likely lacks the extensive ecosystem tooling of more mature queues, such as web-based monitoring dashboards, extensive metrics/observability integrations, or advanced scheduling features found in more established solutions.