# valeman/Awesome_Math_Books

Repository: https://github.com/valeman/Awesome_Math_Books
Canonical: https://ross.abutalabs.com/products/awesome_math_books
License Family: other
Last push: 2026-08-14T09:37:03+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 35, longevity 52
- inputs: {"age_days": 731, "days_push": 19, "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 7023, forks 649 (observed 2026-08-28T04:09:54.908136+00:00)

## What it is
A curated awesome-list repository collecting the best mathematics books, spanning classical foundations, probability, analysis, geometry, and problem-solving. It emphasizes timeless texts over modern textbooks and promotes English translations of classic Russian math books.

## Use cases
- find the best math books to learn from
- curated list of classic mathematics textbooks
- recommendations for rigorous problem-solving math books
- learn math from old-school textbooks
- find English translations of Russian math classics
- self-study mathematics reading list

## When to choose
- you want a curated, opinionated reading list of high-quality math books
- you prefer classical, rigorous textbooks over modern bloated ones
- you are looking for problem-solving-oriented math resources

## When to avoid
- you need interactive courses or video lectures rather than books
- you need a specific textbook for a standardized curriculum
- you want software or tools rather than reading material

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: mathematics, education, tutorials
- platform: cross-platform
- tags: awesome-list, math-books, curated-list, textbooks, self-study

## Member repositories
- valeman/Awesome_Math_Books (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:54.908136+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 2026-08-29T17:40:37.657114+00:00, confidence not recorded.
  - readme: https://github.com/valeman/Awesome_Math_Books (fetched 2026-08-28T04:09:54.908136+00:00, sha dd4c363bd90c)
- Data as of 2026-08-30T08:39:29.467469+00:00.