# 1-Sisyphe/youCanCodeAGif

Can you make an High Quality Gif from A to Z only by coding? Yes. Do you want to, though?

Repository: https://github.com/1-Sisyphe/youCanCodeAGif
Canonical: https://ross.abutalabs.com/products/youcancodeagif
Language: Python
License: MIT
License Family: permissive
Last push: 2018-07-15T01:06:34+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3029, "days_push": 2972, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1102, forks 40 (observed 2026-08-28T04:03:35.799255+00:00)

## What it is
A Python script that demonstrates creating a high-quality GIF entirely through code, by downloading a YouTube video, cutting scenes, generating terminal-style scenes showing its own source code, adding subtitles, and converting to GIF via ffmpeg. It is a one-off novelty/demo project rather than a reusable tool.

## Use cases
- make a gif from a youtube video using only code
- generate high quality gifs programmatically
- learn how to script video editing with ffmpeg and python
- create terminal-style code animation scenes
- automate burning subtitles into a video

## When to choose
- you want a fun example of scripted video/gif generation
- you want to learn how to combine youtube-dl, ffmpeg, PIL and numpy
- you want to recreate or remix the specific demo gif

## When to avoid
- you need a maintained, reusable gif creation tool
- you are on Windows or macOS since ffmpeg commands assume Linux
- you need a general-purpose video editor - use Kdenlive or similar instead

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: video-processing, image-processing, cli
- domain: media, developer-tools
- platform: python, cli
- tags: gif-generation, youtube-dl, ffmpeg, novelty-project, tutorial, video, automation, linux

## Member repositories
- 1-Sisyphe/youCanCodeAGif (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:35.799255+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 2026-08-30T06:45:34.985240+00:00, confidence not recorded.
  - readme: https://github.com/1-Sisyphe/youCanCodeAGif (fetched 2026-08-28T04:03:35.799255+00:00, sha 9d97f76aeca3)
- Data as of 2026-08-30T08:39:29.467469+00:00.