# zhengnianli/EmbedSummary

精品嵌入式资源汇总

Repository: https://github.com/zhengnianli/EmbedSummary
Canonical: https://ross.abutalabs.com/products/embedsummary
License Family: other
Last push: 2023-05-06T09:02:57+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": 2177, "days_push": 1215, "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 5652, forks 716 (observed 2026-08-28T04:09:27.049709+00:00)

## What it is
A curated Chinese-language collection of embedded systems learning resources, covering RTOSes, MCU frameworks, libraries, IoT, Linux, and open-source projects. It is continuously updated and accepts community contributions.

## Use cases
- find learning resources for embedded systems
- discover RTOS options for microcontroller projects
- look up lightweight C libraries for MCU development
- get started with IoT and embedded Linux development
- find open-source embedded projects to study
- collect references for embedded programming languages and tools

## When to choose
- you are starting out in embedded development and need curated learning material
- you want a broad index of RTOSes, libraries, and embedded projects in one place
- you prefer Chinese-language documentation and resources

## When to avoid
- you need runnable software rather than a list of links
- you need English-only resources
- you need guaranteed up-to-date or maintained content, since it is a manually curated list

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, embedded
- domain: embedded-systems, tutorials, awesome-lists, iot
- platform: embedded, cross-platform
- tags: awesome-list, embedded-systems, curated-resources, rtos, microcontroller, chinese-language, linux

## Member repositories
- zhengnianli/EmbedSummary (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:27.049709+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 2026-08-29T17:55:16.210299+00:00, confidence not recorded.
  - readme: https://github.com/zhengnianli/EmbedSummary (fetched 2026-08-28T04:09:27.049709+00:00, sha b16985c1ded7)
- Data as of 2026-08-30T08:39:29.467469+00:00.