lenslet 0.1.1

Lightweight image gallery server - no database, no files left behind

Lenslet

A lightweight image gallery server that runs entirely in-memory. Point it at a directory of images and browse them in your browser. No database, no metadata files left behind.

Introduction

Lenslet is a self-contained image gallery server designed for simplicity and speed. It indexes directories on-the-fly, generates thumbnails in memory, and serves everything through a clean web interface. Perfect for quickly browsing local image collections without modifying the source directory.

Features

• Clean operation: No files written to your image directories
• In-memory indexing: Fast directory scanning and caching
• On-demand thumbnails: Generated and cached in RAM
• Full web UI: Browse, search, and view images in your browser
• Metadata support: Add tags, notes, and ratings (session-only)
• Single command: Just point to a directory and go

Installation

pip install lenslet

Usage

Command Line Interface

lenslet /path/to/images

Then open http://127.0.0.1:7070 in your browser.

Options:

lenslet <directory> [options]

Options:
  -p, --port PORT              Port to listen on (default: 7070)
  -H, --host HOST              Host to bind to (default: 127.0.0.1)
  --thumb-size SIZE            Thumbnail short edge in pixels (default: 256)
  --thumb-quality QUALITY      Thumbnail WebP quality 1-100 (default: 70)
  --reload                     Enable auto-reload for development
  --verbose                    Show detailed server logs
  -v, --version                Show version and exit

Examples:

# Serve images from your Pictures folder
lenslet ~/Pictures

# Use a custom port
lenslet ~/Photos --port 8080

# Make accessible on local network
lenslet ~/Images --host 0.0.0.0 --port 7070

Programmatic API (Python/Jupyter)

Launch lenslet directly from Python code or notebooks:

import lenslet

datasets = {
    "my_images": ["/path/to/img1.jpg", "/path/to/img2.jpg"],
    "more_images": ["s3://bucket/img3.jpg"],  # S3 URIs supported!
}

# Launch in non-blocking mode (returns immediately)
lenslet.launch(datasets, blocking=False, port=7070)

Key Features:

• 🚀 Jupyter-friendly: Non-blocking mode for notebooks
• ☁️ S3 support: Automatically handles S3 URIs via presigned URLs
• 📁 Multiple datasets: Organize images into named collections
• 🔗 Mixed sources: Combine local files and S3 images

See Programmatic API Documentation for details and examples.

Notes

• All indexes, thumbnails, and metadata are kept in memory
• Metadata changes (tags, ratings, notes) are lost when the server stops
• Supports JPEG, PNG, and WebP formats
• Hidden files and folders (starting with .) are ignored

License

MIT License