# jeffgerickson/algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

Repository: https://github.com/jeffgerickson/algorithms
Canonical: https://ross.abutalabs.com/products/jeffgerickson-algorithms
License Family: other
Topics: algorithm, textbook, lecture-notes, course-materials
Last push: 2019-11-23T20:39:06+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": 3085, "days_push": 2475, "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 8129, forks 1018 (observed 2026-08-28T04:10:13.795213+00:00)

## What it is
The official bug-tracking and distribution repository for Jeff Erickson's Algorithms textbook, offering free PDF downloads of the book and its chapters. It collects errata reports and hosts related course materials like lecture notes and exams.

## Use cases
- download a free algorithms textbook pdf
- report an error in the algorithms book
- find lecture notes for an algorithms course
- check errata for the algorithms textbook
- learn algorithms from a university course material

## When to choose
- you want a rigorous, free algorithms textbook for self-study or a course
- you found a mistake in the book and want to report it
- you need university-level lecture notes and homework on algorithms

## When to avoid
- you need runnable code implementations of algorithms
- you want an interactive learning platform rather than a book

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: education, tutorials
- platform: cross-platform
- tags: textbook, lecture-notes, errata, computer-science, course-materials, algorithms

## Member repositories
- jeffgerickson/algorithms (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:13.795213+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 2026-08-29T17:29:59.893131+00:00, confidence not recorded.
  - readme: https://github.com/jeffgerickson/algorithms (fetched 2026-08-28T04:10:13.795213+00:00, sha 70c3d8a31d35)
- Data as of 2026-08-30T08:39:29.467469+00:00.