# jachinlin/geektime_dl

把极客时间装进 Kindle

Repository: https://github.com/jachinlin/geektime_dl
Canonical: https://ross.abutalabs.com/products/geektime_dl
Language: Python
License Family: other
Topics: kindle, ebook, geektime
Last push: 2026-03-29T14:39:27+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 74, release rhythm 35, longevity 100
- inputs: {"age_days": 3037, "days_push": 157, "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 1381, forks 347 (observed 2026-08-28T04:04:33.946907+00:00)

## What it is
A Python CLI tool that downloads Geektime (极客时间) courses and converts them into ebooks for reading on Kindle. It handles login, course querying, and ebook generation from course content.

## Use cases
- download geektime courses to kindle
- convert online course content to ebook
- export paid course articles for offline reading
- make epub from geektime lessons
- read tech courses on e-reader

## When to choose
- you have a Geektime subscription and want course content on a Kindle
- you prefer reading courses as ebooks rather than in the app
- you want a simple command-line workflow for course export

## When to avoid
- you don't have a Geektime account or subscription
- you need to redistribute the ebooks (copyright prohibits sharing)
- you want a GUI or automated sync rather than CLI commands

## Facets
- artifact type: cli-tool
- maturity: active
- function: cli, pdf, web-scraping
- domain: files
- platform: python, cli, cross-platform
- tags: ebook-generation, kindle, geektime, course-downloader, epub, e-learning, command-line, automation

## Member repositories
- jachinlin/geektime_dl (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:33.946907+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 2026-08-30T04:40:10.629404+00:00, confidence not recorded.
  - readme: https://github.com/jachinlin/geektime_dl (fetched 2026-08-28T04:04:33.946907+00:00, sha f815180ee049)
- Data as of 2026-08-30T08:39:29.467469+00:00.