# hzlmn/haskell-must-watch

Huge list of  videos, talks, courses for Haskell programming language.

Repository: https://github.com/hzlmn/haskell-must-watch
Canonical: https://ross.abutalabs.com/products/haskell-must-watch
Language: Haskell
License: MIT
License Family: permissive
Topics: haskell, videos, awesome
Last push: 2017-10-17T13:24:26+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": 4200, "days_push": 3242, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1143, forks 56 (observed 2026-08-28T04:03:45.000612+00:00)

## What it is
A curated awesome-list of Haskell videos, talks, and courses. It is a reference collection of learning material rather than software.

## Use cases
- find the best Haskell talks to watch
- learn functional programming with video courses
- curated Haskell learning resources for beginners
- discover conference talks about Haskell
- build a Haskell self-study video playlist

## When to choose
- you prefer learning Haskell through videos and talks
- you want a curated, community-contributed list of Haskell lectures
- you are looking for classic functional programming lectures like Erik Meijer's series

## When to avoid
- you need written tutorials or documentation instead of videos
- you need up-to-date content covering recent Haskell developments
- you need an interactive learning platform with exercises

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: programming-languages, tutorials, awesome-lists
- platform: cross-platform
- tags: haskell, curated-list, videos, talks, courses, functional-programming

## Member repositories
- hzlmn/haskell-must-watch (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:45.000612+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 2026-08-30T06:34:55.597930+00:00, confidence not recorded.
  - readme: https://github.com/hzlmn/haskell-must-watch (fetched 2026-08-28T04:03:45.000612+00:00, sha b0252eab1478)
- Data as of 2026-08-30T08:39:29.467469+00:00.