# 198808xc/Pangu-Weather

An official implementation of Pangu-Weather

Repository: https://github.com/198808xc/Pangu-Weather
Canonical: https://ross.abutalabs.com/products/pangu-weather
Language: Python
License Family: other
Last push: 2024-01-12T04:31:28+00:00

## Health v2 (maintenance only)
Score: 22/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 95
- inputs: {"age_days": 1330, "days_push": 964, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1388, forks 243 (observed 2026-08-28T04:04:35.277597+00:00)

## What it is
Official implementation of Pangu-Weather, a deep learning model for fast, accurate medium-range global weather forecasting using 3D neural networks, published in Nature. It provides pre-trained ONNX models and inference scripts for running forecasts on CPU or GPU.

## Use cases
- run global weather forecasts with a pretrained AI model
- generate 10-day medium-range weather predictions
- experiment with 3D neural network weather models
- replace numerical weather prediction with deep learning inference
- reproduce Pangu-Weather research results

## When to choose
- you need fast AI-based global weather forecasting without running a full NWP model
- you want to use the official pretrained Pangu-Weather ONNX models
- you are researching data-driven weather prediction

## When to avoid
- you need local or regional high-resolution forecasting rather than global
- you need training code or full pipeline customization beyond released inference tools
- you need a maintained library with a license and active support

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, llm-inference
- domain: artificial-intelligence, machine-learning, weather, data-science
- platform: python
- tags: weather-forecasting, onnx, 3d-transformer, research-code, numerical-weather-prediction, linux, gpu

## Member repositories
- 198808xc/Pangu-Weather (main) score 22

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:35.277597+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 2026-08-30T04:39:44.841289+00:00, confidence not recorded.
  - readme: https://github.com/198808xc/Pangu-Weather (fetched 2026-08-28T04:04:35.277597+00:00, sha 193442800008)
- Data as of 2026-08-30T08:39:29.467469+00:00.