# kska32/ebooks

收藏的一些经典的历史、政治、心理、哲学、数学、计算机方面电子书(约10万本）

Repository: https://github.com/kska32/ebooks
Canonical: https://ross.abutalabs.com/products/ebooks
Homepage: https://kska32.github.io/ebooks/
Language: JavaScript
License Family: other
Last push: 2023-09-28T05:13:51+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": 2706, "days_push": 1070, "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 7349, forks 961 (observed 2026-08-28T04:09:58.390841+00:00)

## What it is
A collection of roughly 100,000 classic ebooks (mostly PDFs) covering history, politics, psychology, philosophy, mathematics, and computer science, hosted via Google Drive. It includes a simple JavaScript web app for searching and browsing the ebook catalog.

## Use cases
- download free classic ebooks on history and philosophy
- find computer science textbooks in Chinese
- search a large ebook catalog online
- get programming books as PDFs
- browse a curated ebook library

## When to choose
- you want free access to a large curated ebook collection
- you need Chinese-language technical or humanities books
- you want a searchable catalog of downloadable PDFs

## When to avoid
- you need a maintained software library or tool
- you require properly licensed or DRM-free commercial ebooks
- you need an actively developed application

## Facets
- artifact type: dataset
- maturity: maintenance
- function: search-engine, developer-tools, documentation
- domain: education, developer-tools, tutorials
- platform: browser
- tags: ebooks, pdf-books, book-collection, chinese-language, search-webapp, web-server

## Member repositories
- kska32/ebooks (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:58.390841+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 2026-08-29T17:38:26.549727+00:00, confidence not recorded.
  - readme: https://github.com/kska32/ebooks (fetched 2026-08-28T04:09:58.390841+00:00, sha 6019a5ba192b)
  - homepage: https://kska32.github.io/ebooks/ (fetched 2026-08-29T08:34:00.586243+00:00, sha c49f4fc31c08)
- Data as of 2026-08-30T08:39:29.467469+00:00.