# andrew--r/channels

📺 A collection of useful YouTube channels for javascript developers and web designers

Repository: https://github.com/andrew--r/channels
Canonical: https://ross.abutalabs.com/products/andrew-r-channels
License Family: other
Topics: web, javascript, video, collection, awesome, css, html
Last push: 2021-10-01T07:50:42+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": 4249, "days_push": 1797, "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 4470, forks 424 (observed 2026-08-28T04:08:50.958850+00:00)

## What it is
A curated awesome-list of YouTube channels and video sources for JavaScript developers and web designers, organized by language (English, Russian, French, and more). It is a static collection of links, not software.

## Use cases
- find youtube channels to learn javascript
- best web development video tutorials
- learn css and html from video screencasts
- frontend conference talk recordings
- live coding streams for web developers
- javascript learning resources in other languages

## When to choose
- you want curated video learning resources for frontend development
- you prefer learning by watching tutorials and conference talks
- you need web dev content in a specific language like Russian or French

## When to avoid
- you need runnable code, a library, or a tool
- you want structured interactive courses rather than channel links
- you need up-to-date content - the list was last updated in 2021

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: web-development, frontend, tutorials, awesome-lists
- platform: -
- tags: awesome-list, youtube-channels, video-tutorials, javascript, css, html, curated-list, web-server

## Member repositories
- andrew--r/channels (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:50.958850+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 2026-08-29T18:20:36.771820+00:00, confidence not recorded.
  - readme: https://github.com/andrew--r/channels (fetched 2026-08-28T04:08:50.958850+00:00, sha 29f39c58b78c)
- Data as of 2026-08-30T08:39:29.467469+00:00.