# danielcardoso/load-awesome

An awesome collection of — Pure CSS — Loaders and Spinners

Repository: https://github.com/danielcardoso/load-awesome
Canonical: https://ross.abutalabs.com/products/load-awesome
Homepage: http://github.danielcardoso.net/load-awesome/
Language: CSS
License: MIT
License Family: permissive
Last push: 2016-12-14T02:01:50+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4137, "days_push": 3550, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1018, forks 144 (observed 2026-08-28T04:03:14.916057+00:00)

## What it is
A collection of 53 pure CSS loaders and spinners for websites, requiring no JavaScript. Each animation ships as a standalone CSS file that can be included and customized via color styles.

## Use cases
- add a loading spinner to my website
- pure css loading animations without javascript
- css spinner for ajax request
- customize loader colors in css
- lightweight loading indicator for web page

## When to choose
- you need dependency-free, JavaScript-free loading animations
- you want small per-animation CSS files you can customize
- you need broad browser support including IE10+

## When to avoid
- you need animated SVG or Lottie-based loaders
- you want an actively developed project with recent releases
- you need React/Vue component wrappers

## Facets
- artifact type: library
- maturity: maintenance
- function: ui-components, animation, css-framework
- domain: frontend, web-development, web-design
- platform: cross-platform
- tags: css-loaders, spinners, pure-css, loading-animations, no-javascript, web-server

## Member repositories
- danielcardoso/load-awesome (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:14.916057+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 2026-08-30T07:09:27.988143+00:00, confidence not recorded.
  - readme: https://github.com/danielcardoso/load-awesome (fetched 2026-08-28T04:03:14.916057+00:00, sha cb0016c83fca)
  - homepage: http://github.danielcardoso.net/load-awesome/ (fetched 2026-08-29T13:09:44.494986+00:00, sha d33ea77c21a7)
- Data as of 2026-08-30T08:39:29.467469+00:00.
