# skishore/makemeahanzi

Free, open-source Chinese character data

Repository: https://github.com/skishore/makemeahanzi
Canonical: https://ross.abutalabs.com/products/makemeahanzi
Homepage: https://www.skishore.me/makemeahanzi/
Language: JavaScript
License: NOASSERTION
License Family: other
Last push: 2026-03-08T18:32:20+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 71, release rhythm 35, longevity 100
- inputs: {"age_days": 3988, "days_push": 178, "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 2637, forks 612 (observed 2026-08-28T04:07:06.316885+00:00)

## What it is
Make Me a Hanzi is a free, open-source dataset of dictionary and graphical data for over 9000 common simplified and traditional Chinese characters, including stroke-order vector graphics and animated SVGs. It also includes a demo tool for looking up characters by drawing them.

## Use cases
- get stroke order data for Chinese characters
- build a Chinese handwriting recognition app
- add animated stroke-order SVGs to a language learning site
- look up a Chinese character by drawing it
- get pinyin and definitions for Chinese characters
- build a Chinese dictionary app for learners

## When to choose
- you need free, permissively-licensed Chinese character stroke and dictionary data
- you are building a Chinese learning or handwriting app
- you need vector graphics or animations for character writing practice

## When to avoid
- you need full dictionary coverage of rare or archaic characters
- you need a ready-made end-user application rather than raw data
- you need OCR of printed text rather than stroke-order data

## Facets
- artifact type: dataset
- maturity: stable
- function: nlp, data-generation, graphics
- domain: education
- platform: cross-platform
- tags: chinese-characters, stroke-order, hanzi, dictionary-data, svg-graphics, handwriting-recognition, natural-language-processing, localization

## Member repositories
- skishore/makemeahanzi (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:06.316885+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 2026-08-30T02:19:18.744056+00:00, confidence not recorded.
  - readme: https://github.com/skishore/makemeahanzi (fetched 2026-08-28T04:07:06.316885+00:00, sha dc067b489de5)
  - homepage: https://www.skishore.me/makemeahanzi/ (fetched 2026-08-29T10:02:29.468762+00:00, sha 53c646c0ae5a)
- Data as of 2026-08-30T08:39:29.467469+00:00.