# lds133/weather_landscape

Visualizing Weather Forecasts Through Landscape Imagery

Repository: https://github.com/lds133/weather_landscape
Canonical: https://ross.abutalabs.com/products/weather_landscape
Language: Python
License: MIT
License Family: permissive
Topics: eink, esp32, micropython, openweathermap-api, python3, weather-forecast, no-ai-used
Last push: 2026-03-27T14:25:26+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 74, release rhythm 35, longevity 50
- inputs: {"age_days": 712, "days_push": 159, "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 1827, forks 88 (observed 2026-08-28T04:05:41.476239+00:00)

## What it is
A Python application that renders weather forecasts as a stylized landscape image instead of numeric dashboards, encoding time, temperature, wind, precipitation, and pressure as visual elements like trees, clouds, and sprites. It is designed for a 296x128 E-Ink display driven by an ESP32 running MicroPython, using OpenWeather data and the Pillow library.

## Use cases
- display weather forecast on an e-ink dashboard
- visualize hourly weather as a landscape picture
- build an esp32 weather picture frame
- glanceable weather without reading numbers
- show sunrise sunset and temperature on e-paper
- calming weather display for home

## When to choose
- you want an at-a-glance, low-stress weather visualization on a small E-Ink panel
- you have an ESP32/MicroPython device with a 296x128 e-paper display
- you prefer imagery over numeric weather dashboards

## When to avoid
- you need detailed numeric weather data or configurable charts
- you use a different display resolution without adapting the code
- you need forecasts beyond the encoded 24-hour timeline

## Facets
- artifact type: application
- maturity: active
- function: data-visualization, image-processing, web-scraping
- domain: weather, data-visualization, embedded-systems, iot
- platform: python, embedded, iot, cross-platform
- tags: eink, esp32, micropython, openweathermap, weather-forecast, landscape-imagery, glanceable-display

## Member repositories
- lds133/weather_landscape (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:41.476239+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 2026-08-30T03:19:25.694061+00:00, confidence not recorded.
  - readme: https://github.com/lds133/weather_landscape (fetched 2026-08-28T04:05:41.476239+00:00, sha 24ac132d1198)
- Data as of 2026-08-30T08:39:29.467469+00:00.