# jazzband/sorl-thumbnail

Thumbnails for Django

Repository: https://github.com/jazzband/sorl-thumbnail
Canonical: https://ross.abutalabs.com/products/sorl-thumbnail
Homepage: https://sorl-thumbnail.readthedocs.io
Language: Python
License: BSD-3-Clause
License Family: permissive
Last push: 2026-08-24T17:41:46+00:00

## Health v2 (maintenance only)
Score: 88/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 66, longevity 100
- inputs: {"age_days": 5774, "days_push": 9, "days_rel": 14, "gap_med": 349.5, "n_releases_24m": 3}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1794, forks 495 (observed 2026-08-28T04:05:37.355799+00:00)

## What it is
sorl-thumbnail is a Django app that generates and manages image thumbnails with pluggable engines (Pillow, ImageMagick, Wand, etc.) and key-value stores (Redis, DynamoDB, cached db). It provides template tags, admin integration, smart cropping, and alternative resolution support.

## Use cases
- generate thumbnails for images in a Django site
- crop and resize images in Django templates
- serve retina/high-DPI image variants in Django
- cache thumbnail metadata in Redis for a Django app
- add image placeholder generation to Django admin
- smart crop product photos for an e-commerce Django project

## When to choose
- you run a Django project and need robust, configurable thumbnail generation
- you want pluggable image engines and storage backends
- you need admin integration and multi-resolution thumbnails

## When to avoid
- your project is not Django-based
- you need on-the-fly image processing outside a Django request/template context
- you need video or audio thumbnailing

## Facets
- artifact type: library
- maturity: stable
- function: image-processing, templating, caching
- domain: web-development, image-processing, backend
- platform: python
- tags: django, thumbnails, jazzband, web-server

## Member repositories
- jazzband/sorl-thumbnail (main) score 88

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:37.355799+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:22:54.136202+00:00, confidence not recorded.
  - readme: https://github.com/jazzband/sorl-thumbnail (fetched 2026-08-28T04:05:37.355799+00:00, sha cf470eb92947)
  - registry_pypi: https://pypi.org/pypi/sorl-thumbnail/json (fetched 2026-08-29T11:02:14.225422+00:00, sha dbc1c86eed46)
- Data as of 2026-08-30T08:39:29.467469+00:00.