dtoro 61486a503e feat: sticky month-header overlay in Timeline
The inline date headers can't use CSS position: sticky because
TanStack Virtual positions every item with transform translateY,
which removes them from the document flow.

Workaround: render a separate overlay above the scroll container
that's absolutely positioned (left/right/top: 0) and updates its
label as the user scrolls. The current label is computed from a
pre-built headerOffsets array (cumulative sum of item heights up
to each header) — find the latest header whose offset <= scrollTop,
and that's the group containing whatever's at the top of the view.

The overlay sits at z-20 above the photos with bg-bg/90 +
backdrop-blur and pointer-events-none so it doesn't intercept
clicks. Inline headers still render so the visual flow at group
boundaries is smooth — the overlay is the persistent label.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-07 23:32:39 +02:00
2026-04-06 23:30:19 +02:00
2026-04-06 23:30:19 +02:00
2026-04-06 23:30:19 +02:00
2026-04-06 23:30:19 +02:00
2026-04-06 23:30:19 +02:00

Mulita - Self-Hosted Photo Management Application

A self-hosted, Docker-deployed photo management application inspired by Lightroom's workflow. Mulita provides a fast, keyboard-driven interface to browse, organize, tag, and manage your photo library.

Features

  • Photo Organization: Browse photos in a timeline view with virtual scrolling for performance
  • Thumbnail Generation: Automatic thumbnail generation for all photo formats including RAW
  • Metadata Extraction: Full EXIF/XMP metadata extraction and search
  • Keyboard Shortcuts: Lightroom-style keyboard navigation and actions
  • File Support: JPEG, PNG, RAW formats (CR2, CR3, NEF, ARW, etc.), HEIC/HEIF, and videos
  • Heaps: Temporary collections for organizing photos
  • Tags & Ratings: Organize with tags, star ratings, and color labels
  • Dark Mode: Photography-optimized dark interface

Tech Stack

Backend

  • Python 3.12 with FastAPI
  • SQLite with SQLAlchemy (async)
  • Celery + Redis for background tasks
  • pyvips for fast thumbnail generation
  • ExifTool for metadata extraction

Frontend

  • React 18 with TypeScript
  • Vite for fast development
  • TanStack Query for data fetching
  • TanStack Virtual for virtualized scrolling
  • Tailwind CSS for styling
  • Zustand for state management

Quick Start

Prerequisites

  • Docker and Docker Compose
  • Photo directories to mount

Setup

  1. Clone the repository:
git clone <repository-url>
cd muleimage
  1. Configure your photo directories in .env:
# Edit .env file
PHOTO_DIRS=/path/to/your/photos
  1. Start the application:
docker-compose up -d
  1. Access the application at http://localhost:3000

Architecture

The application consists of 5 Docker services:

  • frontend: React SPA served by Nginx
  • backend: FastAPI REST API
  • worker: Celery workers for background tasks
  • redis: Message broker for Celery
  • db: SQLite database (file-based)

Keyboard Shortcuts

Key Action
Navigate photos
Space Quick preview
Enter Open loupe view
P Pick photo
X Reject photo
1-5 Set star rating
Tab Toggle left sidebar
I Toggle metadata panel
G Grid view
E Loupe view
Delete Move to trash

Development

Backend Development

cd backend
pip install -r requirements.txt
uvicorn app.main:app --reload

Frontend Development

cd frontend
npm install
npm run dev

Configuration

Edit mulita.yml to configure:

  • Source photo directories
  • Thumbnail sizes and quality
  • Scanner settings
  • Performance tuning

Performance

  • Handles 100,000+ photos efficiently
  • Virtual scrolling for smooth timeline navigation
  • Thumbnail generation at 10+ photos/second
  • SQLite FTS5 for fast full-text search

Future Features (Phase 2)

  • AI-powered scene classification
  • Face detection and clustering
  • Smart albums
  • Duplicate detection
  • Export presets
  • Multi-user support

License

MIT

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