# googollee/eviltransform

Transport coordinate between earth(WGS-84) and mars in china(GCJ-02).

Repository: https://github.com/googollee/eviltransform
Canonical: https://ross.abutalabs.com/products/eviltransform
Language: MATLAB
License: NOASSERTION
License Family: other
Last push: 2024-01-15T01:44:21+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4727, "days_push": 962, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2590, forks 476 (observed 2026-08-28T04:07:02.929061+00:00)

## What it is
A multi-language library that converts coordinates between WGS-84 (GPS) and GCJ-02 (the offset coordinate system used by Chinese map services like Google Maps China and Autonavi). It also provides distance calculation between points.

## Use cases
- convert GPS coordinates to Chinese map coordinates
- fix offset between GPS points and China map tiles
- convert GCJ-02 coordinates back to WGS-84
- calculate distance between two lat/lng points in meters
- align GPS tracks with Amap or Google Maps China

## When to choose
- your app mixes GPS data with Chinese map services like Google Maps China or Autonavi
- you need WGS-84 to GCJ-02 conversion in one of many supported languages
- you need sub-meter accuracy reverse conversion via the exact algorithm

## When to avoid
- you work entirely outside China and never touch GCJ-02 coordinates
- you need Baidu BD-09 conversion directly (only GCJ-02 is handled)
- you need full geospatial processing beyond simple coordinate transforms

## Facets
- artifact type: library
- maturity: maintenance
- function: geospatial, math
- domain: -
- platform: cross-platform, go, python, php, cpp, dotnet
- tags: gcj-02, wgs-84, coordinate-conversion, china-maps, gps-offset, maps, geospatial, china, javascript, haskell, matlab

## Member repositories
- googollee/eviltransform (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:02.929061+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 2026-08-30T02:22:20.141966+00:00, confidence not recorded.
  - readme: https://github.com/googollee/eviltransform (fetched 2026-08-28T04:07:02.929061+00:00, sha 27c2ad19b769)
- Data as of 2026-08-30T08:39:29.467469+00:00.
