# jyfc/ebook

classic books of computer science

Repository: https://github.com/jyfc/ebook
Canonical: https://ross.abutalabs.com/products/jyfc-ebook
Homepage: http://onestraw.net
License Family: other
Last push: 2020-10-01T14:33:43+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": 4254, "days_push": 2162, "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 1816, forks 3090 (observed 2026-08-28T04:05:40.025092+00:00)

## What it is
A curated GitHub repository collecting PDF copies of classic computer science books, including titles on C/C++ programming, algorithms, and data structures, many in Chinese translation. It is essentially a reading list of links to hosted PDF files rather than software.

## Use cases
- find classic computer science textbooks to read
- download free copies of C and C++ programming books
- get Chinese translations of books like CLRS and K&R
- build a self-study curriculum for programming and algorithms
- find data structures and algorithm analysis books in C

## When to choose
- you want a curated list of well-known CS textbooks in one place
- you prefer reading Chinese-language editions of classic books
- you want free PDF access to foundational programming and algorithm texts

## When to avoid
- you need legally licensed or up-to-date editions of these books
- you want interactive tutorials or courses rather than static PDFs
- you need software or tools rather than reading material

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

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

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:40.025092+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 2026-08-30T03:20:36.077444+00:00, confidence not recorded.
  - readme: https://github.com/jyfc/ebook (fetched 2026-08-28T04:05:40.025092+00:00, sha 1fee4c5d5fa7)
  - homepage: http://onestraw.net (fetched 2026-08-29T10:59:47.100753+00:00, sha 036dc475eec6)
- Data as of 2026-08-30T08:39:29.467469+00:00.