# sepandhaghighi/samila

A Generative Art Generator

Repository: https://github.com/sepandhaghighi/samila
Canonical: https://ross.abutalabs.com/products/samila
Homepage: https://www.samila.site
Language: Python
License: MIT
License Family: permissive
Topics: generative-art, art, nft, generative, python3, nfts, nft-gallery, nft-storage, nftables, generativeart, python, matplotlib
Last push: 2026-08-17T01:32:52+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 28, longevity 100
- inputs: {"age_days": 1808, "days_push": 17, "days_rel": 413, "gap_med": 71, "n_releases_24m": 4}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1177, forks 79 (observed 2026-08-28T04:03:52.814035+00:00)

## What it is
Samila is a Python library for generating generative art images from thousands of points whose positions are computed by formulas with random parameters. It builds on matplotlib and supports saving images, seeds for reproducibility, and NFT-related workflows.

## Use cases
- generate generative art images in python
- create unique point-based artwork from random formulas
- make reproducible generative art with a seed
- generate nft art images programmatically
- creative coding visuals with matplotlib

## When to choose
- you want a simple Python API for procedural point-based art
- you need reproducible outputs via seeds
- you want matplotlib-based rendering with easy export

## When to avoid
- you need GPU-accelerated or real-time generative visuals
- you need non-image media like audio or video
- you need a GUI-based art tool rather than a library

## Facets
- artifact type: library
- maturity: active
- function: image-processing, data-visualization, graphics
- domain: graphics, media
- platform: python, cross-platform
- tags: generative-art, matplotlib, nft, procedural-generation, creative-coding, art

## Member repositories
- sepandhaghighi/samila (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:52.814035+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 2026-08-30T06:26:18.414393+00:00, confidence not recorded.
  - readme: https://github.com/sepandhaghighi/samila (fetched 2026-08-28T04:03:52.814035+00:00, sha 85fa799ff305)
  - homepage: https://www.samila.site (fetched 2026-08-29T12:33:08.460514+00:00, sha 376fdf8561a2)
  - registry_pypi: https://pypi.org/pypi/samila/json (fetched 2026-08-29T12:33:08.469631+00:00, sha e9fd10f9828c)
- Data as of 2026-08-30T08:39:29.467469+00:00.