# teadocs/numpy-cn

NumPy官方中文文档（完整版）

Repository: https://github.com/teadocs/numpy-cn
Canonical: https://ross.abutalabs.com/products/numpy-cn
Homepage: https://www.numpy.org.cn/
Language: JavaScript
License Family: other
Topics: documentation, python, numpy, guide, tutorial
Last push: 2023-10-18T09:12:28+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3022, "days_push": 1050, "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 1906, forks 459 (observed 2026-08-28T04:05:52.535498+00:00)

## What it is
A complete Chinese (zh-cn) translation of the official NumPy documentation, published as a website at numpy.org.cn. It covers NumPy v1.17 docs including guides and tutorials, licensed under CC BY-NC-SA 3.0 CN.

## Use cases
- read numpy documentation in chinese
- learn numpy with chinese tutorials
- chinese translation of numpy official docs
- numpy api reference in chinese
- learn python numerical computing in chinese

## When to choose
- you prefer reading NumPy docs in Chinese
- you need a full offline or online Chinese NumPy reference for v1.17

## When to avoid
- you need documentation for the latest NumPy version (translation targets v1.17)
- you need official English docs or guaranteed up-to-date content
- you need a commercially usable copy (CC BY-NC-SA is non-commercial)

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: documentation, data-science, tutorials
- platform: python
- tags: numpy, chinese-translation, docs-site, javascript, web

## Member repositories
- teadocs/numpy-cn (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:52.535498+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 2026-08-30T03:11:41.062945+00:00, confidence not recorded.
  - readme: https://github.com/teadocs/numpy-cn (fetched 2026-08-28T04:05:52.535498+00:00, sha daf2ad2c67af)
- Data as of 2026-08-30T08:39:29.467469+00:00.