# sepandhaghighi/art

🎨 ASCII art library for Python

Repository: https://github.com/sepandhaghighi/art
Canonical: https://ross.abutalabs.com/products/sepandhaghighi-art
Homepage: https://www.ascii-art.site
Language: Python
License: MIT
License Family: permissive
Topics: ascii, ascii-art, ascii-text, text, art, python3, python, python-library, python-lib, fun, easy-to-use, easy, ascii-art-library, library, pypi-packages, pip, fonts, figlet, status, twitter
Last push: 2026-08-22T16:41:56+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 16, longevity 100
- inputs: {"age_days": 3255, "days_push": 11, "days_rel": 508, "gap_med": 102.0, "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 2494, forks 157 (observed 2026-08-28T04:06:56.649614+00:00)

## What it is
ART is a Python library for converting text into ASCII art, offering 677 fonts, 711 one-line art pieces, and 218 text decorations. It also provides a CLI and a web playground for generating ASCII art.

## Use cases
- convert text to ascii art in python
- generate figlet-style banners for terminal output
- add decorative text art to cli tools
- print fun ascii characters in scripts
- create ascii text logos for readme files

## When to choose
- you need ascii art generation in Python with a large font collection
- you want a simple, well-maintained library with CLI support

## When to avoid
- you need image-to-ascii conversion rather than text-to-ascii
- you work outside the Python ecosystem

## Facets
- artifact type: library
- maturity: stable
- function: cli, developer-tools
- domain: developer-tools
- platform: python, cli, cross-platform
- tags: ascii-art, figlet, text-art, fonts, terminal-decoration, fun, command-line

## Member repositories
- sepandhaghighi/art (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:56.649614+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 2026-08-30T02:27:17.680419+00:00, confidence not recorded.
  - readme: https://github.com/sepandhaghighi/art (fetched 2026-08-28T04:06:56.649614+00:00, sha 2d99e5bf88b7)
  - homepage: https://www.ascii-art.site (fetched 2026-08-29T10:09:45.791751+00:00, sha be9642e1ea5c)
  - registry_pypi: https://pypi.org/pypi/art/json (fetched 2026-08-29T10:09:45.801242+00:00, sha 731a670d2714)
- Data as of 2026-08-30T08:39:29.467469+00:00.