# jd-opensource/awesome-taro

多端统一开发框架 Taro 优秀学习资源汇总

Repository: https://github.com/jd-opensource/awesome-taro
Canonical: https://ross.abutalabs.com/products/awesome-taro
License Family: other
Last push: 2024-04-11T06:13:51+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": 2855, "days_push": 874, "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 2926, forks 315 (observed 2026-08-28T04:07:30.429500+00:00)

## What it is
A curated awesome-list of learning resources for Taro, the multi-platform unified development framework by JD Open Source. It collects official docs, UI libraries, tutorials, and best-practice articles for building mini-programs and cross-platform apps.

## Use cases
- find tutorials for building WeChat mini-programs with Taro
- learn how to write one codebase for mini-programs, H5, and React Native
- discover Taro UI component libraries and ecosystem tools
- find best practices for Taro with Redux or TypeScript
- get started with Taro as a beginner

## When to choose
- you are learning the Taro framework and want a curated starting point
- you need tutorials and real-world case studies for multi-platform mini-program development

## When to avoid
- you need the Taro framework itself rather than learning resources
- you are not targeting mini-programs or Taro-based development

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: awesome-lists, tutorials, frontend, mobile-development, web-development
- platform: cross-platform
- tags: awesome-list, taro, mini-programs, weapp, react, vue, curated-resources, nodejs

## Member repositories
- jd-opensource/awesome-taro (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:30.429500+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 2026-08-30T07:33:36.867859+00:00, confidence not recorded.
  - readme: https://github.com/jd-opensource/awesome-taro (fetched 2026-08-28T04:07:30.429500+00:00, sha aeefd43ed288)
- Data as of 2026-08-30T08:39:29.467469+00:00.