# sporto/awesome-elm

A curated list of useful Elm tutorials, libraries and software. Inspired by awesome list. Feel free to contribute. :rocket:

Repository: https://github.com/sporto/awesome-elm
Canonical: https://ross.abutalabs.com/products/awesome-elm
License Family: other
Topics: elm, awesome-list, awesome, elm-tutorial, elm-language, elm-videos, elm-news, elm-apps
Last push: 2026-07-21T04:46:24+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 93, release rhythm 35, longevity 100
- inputs: {"age_days": 4126, "days_push": 43, "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 3685, forks 219 (observed 2026-08-28T04:08:13.862616+00:00)

## What it is
A community-curated awesome list of Elm tutorials, videos, articles, libraries, tools, and software. It serves as a reference index for learning the Elm language and finding ecosystem resources.

## Use cases
- find elm tutorials for beginners
- discover elm libraries and packages
- learn elm architecture
- find elm editor plugins and tooling
- locate elm conference talks and podcasts
- find elm boilerplates and static site generators

## When to choose
- you are learning Elm and want a curated starting point
- you need an index of the Elm ecosystem's tools and libraries
- you want community-vetted learning resources for Elm

## When to avoid
- you need an actual software tool or library rather than a list of links
- you need up-to-date documentation for a specific Elm package
- you are not working with the Elm language

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: programming-languages, web-development, frontend, tutorials, awesome-lists
- platform: cross-platform
- tags: elm, awesome-list, curated-list, tutorials, elm-language

## Member repositories
- sporto/awesome-elm (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:13.862616+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 2026-08-29T18:31:10.923114+00:00, confidence not recorded.
  - readme: https://github.com/sporto/awesome-elm (fetched 2026-08-28T04:08:13.862616+00:00, sha 237b2fe471b5)
- Data as of 2026-08-30T08:39:29.467469+00:00.