# SmileyChris/easy-thumbnails

Easy thumbnails for Django

Repository: https://github.com/SmileyChris/easy-thumbnails
Canonical: https://ross.abutalabs.com/products/easy-thumbnails
Homepage: http://easy-thumbnails.readthedocs.org/
Language: Python
License: BSD-3-Clause
License Family: permissive
Last push: 2026-05-06T21:53:06+00:00

## Health v2 (maintenance only)
Score: 60/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 81, release rhythm 11, longevity 100
- inputs: {"age_days": 6173, "days_push": 119, "days_rel": 381, "gap_med": 339, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1410, forks 325 (observed 2026-08-28T04:04:38.893619+00:00)

## What it is
A Django application for generating and managing image thumbnails, supporting predefined aliases, template tags, and Python API usage. It supports raster formats via Pillow and experimental SVG handling through a VIL emulation layer.

## Use cases
- generate image thumbnails in django
- resize uploaded profile photos
- crop images to fixed sizes in templates
- serve avatar thumbnails from django models
- handle svg uploads like raster images

## When to choose
- you use Django 4.2+ and need thumbnail generation integrated with templates and file storage
- you want predefined thumbnail aliases configurable in settings
- you need SVG support alongside raster thumbnails

## When to avoid
- you are not using Django
- you need a standalone image-processing CLI outside a web framework
- you require high-performance on-the-fly resizing at massive scale

## Facets
- artifact type: library
- maturity: active
- function: image-processing, templating, file-upload
- domain: web-development, image-processing, backend
- platform: python
- tags: django, thumbnails, pillow, svg, templatetags, web-server

## Member repositories
- SmileyChris/easy-thumbnails (main) score 60

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:38.893619+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 2026-08-30T04:38:27.506684+00:00, confidence not recorded.
  - readme: https://github.com/SmileyChris/easy-thumbnails (fetched 2026-08-28T04:04:38.893619+00:00, sha 2184ef0818d7)
  - registry_pypi: https://pypi.org/pypi/easy-thumbnails/json (fetched 2026-08-29T11:52:24.036450+00:00, sha d5599aa0611f)
- Data as of 2026-08-30T08:39:29.467469+00:00.