# sedthh/pyxelate

Python class that generates pixel art from images

Repository: https://github.com/sedthh/pyxelate
Canonical: https://ross.abutalabs.com/products/pyxelate
Language: Jupyter Notebook
License: MIT
License Family: permissive
Last push: 2026-01-18T20:08:40+00:00

## Health v2 (maintenance only)
Score: 51/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 63, release rhythm 8, longevity 100
- inputs: {"age_days": 2427, "days_push": 227, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1685, forks 116 (observed 2026-08-28T04:05:22.028305+00:00)

## What it is
Pyxelate is a Python library and CLI tool that converts images into 8-bit pixel art by downsampling and learning a reduced color palette. It extends scikit-learn transformers so a learned palette can be reused across similar images, with support for dithering and transparency.

## Use cases
- convert photos to pixel art
- generate 8-bit sprites from images
- reduce image color palette
- apply retro pixel art style to images
- batch pixelate images from the command line
- create pixel art assets for retro games

## When to choose
- you want to pixelate images programmatically in Python
- you need a reusable color palette across similar images
- you want CLI-based image pixelation
- you need transparency support for sprite generation

## When to avoid
- you need generative AI-based pixel art creation
- you need general-purpose image editing
- you work outside Python and don't want a CLI

## Facets
- artifact type: library
- maturity: active
- function: image-processing, machine-learning
- domain: image-processing, graphics
- platform: python, cli, cross-platform
- tags: pixel-art, retro-gaming, dithering, color-palette, scikit-learn, 8-bit, game-development

## Member repositories
- sedthh/pyxelate (main) score 51

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:22.028305+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 2026-08-30T03:41:15.368938+00:00, confidence not recorded.
  - readme: https://github.com/sedthh/pyxelate (fetched 2026-08-28T04:05:22.028305+00:00, sha 2dba32888c49)
- Data as of 2026-08-30T08:39:29.467469+00:00.