# plant99/felicette

Satellite imagery for dummies.

Repository: https://github.com/plant99/felicette
Canonical: https://ross.abutalabs.com/products/felicette
Language: Python
License: MIT
License Family: permissive
Topics: geospatial-data, gis, geospatial-visualization, geospatial, python, python3, geoinformatics, earth-observation, earth-science, satellite-imagery, satellite-images, satellite-data
Archived: true
Last push: 2022-03-12T00:43:06+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2243, "days_push": 1636, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1843, forks 80 (observed 2026-08-28T04:05:43.265836+00:00)

## What it is
A Python CLI tool that downloads publicly available satellite imagery (e.g., Landsat/Sentinel) for given coordinates or a location name and generates a processed JPEG image. It abstracts away geospatial details so users can quickly view satellite images of any place on Earth.

## Use cases
- download satellite imagery for a location by name
- generate a JPEG satellite image from latitude and longitude coordinates
- view high-resolution earth imagery without GIS expertise
- enhance satellite images with panchromatic band sharpening
- quickly preview how a place looks from space
- fetch low-cloud-cover satellite data for a region

## When to choose
- you want a simple command-line way to get satellite images without learning GIS tools
- you need quick JPEG earth imagery from coordinates or a place name
- you're a beginner exploring satellite data for the first time
- you want automated filtering of low-cloud-cover imagery

## When to avoid
- you need advanced geospatial analysis or raster processing pipelines
- you're on Windows, since a dependency (rio-color) lacks stable Windows support
- you need imagery constrained by specific date ranges, which isn't supported yet
- you need a maintained tool with recent releases and active development

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: image-processing, geospatial, cli
- domain: -
- platform: cli, python
- tags: satellite-imagery, gis, earth-observation, landsat, sentinel, jpeg-export, geospatial, maps, linux, macos, docker

## Member repositories
- plant99/felicette (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:43.265836+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 2026-08-30T03:17:58.196497+00:00, confidence not recorded.
  - readme: https://github.com/plant99/felicette (fetched 2026-08-28T04:05:43.265836+00:00, sha bfc8f4a6b9a3)
  - registry_pypi: https://pypi.org/pypi/felicette/json (fetched 2026-08-29T10:57:14.479909+00:00, sha de7f05bfdd6a)
- Data as of 2026-08-30T08:39:29.467469+00:00.