# TotallyNotChase/glitch-this

:camera: Glitchify images and GIF - with highly customizable options!

Repository: https://github.com/TotallyNotChase/glitch-this
Canonical: https://ross.abutalabs.com/products/glitch-this
Language: Python
License: MIT
License Family: permissive
Topics: glitching, python, glitch-effect, image-manipulation, gifs, glitch-art, glitched-images, glitched-gifs, glitchify-images, scan-lines, glitching-intensity, commandline-tool
Last push: 2024-06-06T12:27:50+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2391, "days_push": 818, "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 1793, forks 82 (observed 2026-08-28T04:05:37.231743+00:00)

## What it is
A Python library and command-line tool that applies customizable glitch effects to images and converts images into glitched GIFs. It offers 100 gradually different glitch intensity levels based on a modified ImageGlitcher algorithm.

## Use cases
- glitchify an image
- make a glitched gif from a photo
- add glitch effect to pictures from the command line
- create glitch art with adjustable intensity
- convert gif to glitched gif
- python library for image glitching

## When to choose
- you want a simple CLI or Python API for glitch effects on images and GIFs
- you need fine-grained control over glitch intensity
- you want to batch-generate glitch art assets

## When to avoid
- you need general-purpose image editing beyond glitch effects
- you require GPU-accelerated or real-time video glitching
- you work primarily with non-RGB/RGBA color modes

## Facets
- artifact type: cli-tool
- maturity: stable
- function: image-processing, cli
- domain: image-processing, graphics, media
- platform: python, cli, cross-platform
- tags: glitch-art, gif, glitch-effect, image-manipulation, creative-coding

## Member repositories
- TotallyNotChase/glitch-this (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:37.231743+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 2026-08-30T03:22:55.927476+00:00, confidence not recorded.
  - readme: https://github.com/TotallyNotChase/glitch-this (fetched 2026-08-28T04:05:37.231743+00:00, sha 2709688d8c79)
- Data as of 2026-08-30T08:39:29.467469+00:00.