# weaiken/ebook

classic books of computer science!

Repository: https://github.com/weaiken/ebook
Canonical: https://ross.abutalabs.com/products/weaiken-ebook
License Family: other
Topics: ebook, learning
Last push: 2024-05-29T00:27:11+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": 2467, "days_push": 827, "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 2027, forks 879 (observed 2026-08-28T04:06:06.926939+00:00)

## What it is
A curated repository of classic computer science and programming ebook PDFs, organized by language and platform (Android, iOS, C++, etc.). It serves as a free learning resource collection rather than software.

## Use cases
- find classic programming books to download
- learn C++ from recommended ebooks
- study iOS and Android development from PDFs
- build a computer science reading list
- access free computer science textbooks

## When to choose
- you want a curated collection of well-known programming books in one place
- you prefer reading Chinese-language editions of classic CS books

## When to avoid
- you need interactive tutorials or courses rather than book files
- you require legally licensed distributions, as the repository has no license and book copyrights may apply

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: developer-tools, tutorials, education
- platform: cross-platform
- tags: ebooks, computer-science-books, pdf-collection, chinese-language, programming-books

## Member repositories
- weaiken/ebook (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:06.926939+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 2026-08-30T02:59:42.495695+00:00, confidence not recorded.
  - readme: https://github.com/weaiken/ebook (fetched 2026-08-28T04:06:06.926939+00:00, sha 3fcb6a96bb54)
- Data as of 2026-08-30T08:39:29.467469+00:00.