# Weather Stat — historical weather analysis

- Link: https://slashdothash.tech/weathersnake-historical-weather-analysis/
- Published: 2026-09-27T08:48:41+00:00
- Author: admin

Weather Stat turns decades of daily weather into practical insight — so you can
reason about future weather by reflecting on the past.

It pulls historical weather from the free Open-Meteo Archive API (no key required)
and computes the numbers that actually matter: averages, typical ranges, extremes,
and how the climate is shifting year over year.

## What it gives you

 * **Averages, done properly** — temperature and precipitation averaged per month
   or day-of-year across your chosen depth of years, with dew/frost excluded via
   a configurable precipitation threshold.
 * **Weather-condition summaries** — plain-language conditions (clear, overcast,
   drizzle, thunderstorm, …) derived from WMO weather codes, with a “most common
   condition” distribution and rain-day share for any window.
 * **Variability & extremes** — typical daily high/low ranges (5th–95th percentile),
   record low/high, wettest and driest historical years, and rain days per year.
   Not just means.
 * **Year-over-year breakdown** — per-year averages/totals with a least-squares
   trend-per-decade estimate for highs, lows, and precipitation.
 * **Recent vs baseline** — compare the most recent N years against a baseline
   window to see whether things are shifting.
 * **Flexible windows** — seasons, full year, a single month, or any custom day/
   month range, including ranges that cross year boundaries.
 * **Metric or imperial** — °C/mm or °F/inches throughout, including deltas.

## Two interfaces, one engine

 * **CLI** — scriptable. One command prints a summary table and writes a CSV and
   chart.
 * **Desktop GUI** — the same engine behind a window, with preset or custom locations,
   conditions & extremes panels, yearly breakdowns, and a built-in help system with
   context-sensitive F1.

## Exports

 * CSV of the processed data
 * PNG or JPG chart
 * A shareable interactive chart published to Datawrapper (what newsrooms use)
 * A QuickChart PNG from the GUI — no account, no API key

## Platform support

Available on Windows now: native installer (setup .exe), plus portable builds. macOS(.
dmg for Intel and Apple silicon) and Linux (.deb) are in development, planned for
2027 if there is demand. A built-in HTML Help manual ships inside the app with 19
topics, F1 help on every control, and keyboard shortcuts.

## Pricing

Weather Stat is free during the beta, from December 1, 2026. At launch it is **$
14.99 one-time**. There is no free trial after launch; the 7-day money-back guarantee
covers you from purchase, so you can run it against your real data.

Downloads and licensing are handled through the store. Source remains available 
on GitHub for review and contribution.