# linsa-io/courses

Awesome Courses

Repository: https://github.com/linsa-io/courses
Canonical: https://ross.abutalabs.com/products/linsa-io-courses
License Family: other
Topics: courses, education, list, resources, awesome, awesome-list, learning
Last push: 2022-02-24T12:08:44+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": 3376, "days_push": 1651, "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 1283, forks 200 (observed 2026-08-28T04:04:14.410142+00:00)

## What it is
A curated awesome-list of online courses covering computer science topics such as algorithms, machine learning, compilers, security, and web development, with links to free and paid offerings from MIT, Stanford, Coursera, and others. It is a reference document rather than software, organized by subject with free courses marked.

## Use cases
- find free online courses to learn algorithms
- curated list of machine learning courses
- where can I learn compilers online for free
- best university courses for self-taught programmers
- recommend courses for learning web development
- list of free AI and deep learning lectures
- resources to learn Rust or Swift through courses

## When to choose
- you want a hand-curated index of mostly free university-level courses across many CS topics
- you prefer links to actual course material (lectures, assignments) over paid platforms
- you are browsing for structured learning paths in algorithms, ML, or systems topics

## When to avoid
- you need interactive tutorials or hands-on exercises rather than links to courses
- you want a regularly updated list - the last release was in early 2022 and some links may be stale
- you are looking for non-technical subjects, which are only lightly covered

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: education, tutorials, awesome-lists, computer-vision, machine-learning, deep-learning, web-development, security, mathematics
- platform: cross-platform
- tags: awesome-list, curated-list, online-courses, mooc, free-courses, learning-resources, computer-science, natural-language-processing, algorithms, game-development

## Member repositories
- linsa-io/courses (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:14.410142+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 2026-08-30T04:57:00.396173+00:00, confidence not recorded.
  - readme: https://github.com/linsa-io/courses (fetched 2026-08-28T04:04:14.410142+00:00, sha 16f7e623f81b)
- Data as of 2026-08-30T08:39:29.467469+00:00.