# mdibaiee/awesome-lite-websites

A list of awesome lightweight websites without all the bloat

Repository: https://github.com/mdibaiee/awesome-lite-websites
Canonical: https://ross.abutalabs.com/products/awesome-lite-websites
License Family: other
Topics: awesome, awesome-list, websites, collection, links
Last push: 2024-02-20T21:28:44+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": 3279, "days_push": 925, "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 1494, forks 51 (observed 2026-08-28T04:04:52.994762+00:00)

## What it is
A curated awesome-list of lightweight, low-JavaScript websites that are typically under 1MB in size. It catalogs lite versions of news, social, and other popular sites for faster, bloat-free browsing.

## Use cases
- find lightweight alternatives to heavy news websites
- discover text-only versions of social media sites
- reduce data usage when browsing on slow connections
- find websites with minimal JavaScript and tracking
- curate a fast reading list for low-end devices

## When to choose
- you want a curated directory of fast, minimal websites
- you care about web performance, privacy, or low-bandwidth browsing
- you want lite front-ends for popular services like CNN, Reddit, or Gmail

## When to avoid
- you need a software tool or library rather than a list of links
- you need actively maintained software with a license and releases
- you want feature-rich, JavaScript-heavy web applications

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: web-development, awesome-lists, privacy
- platform: -
- tags: awesome-list, lightweight-websites, minimalism, curated-links, web-performance, web-server

## Member repositories
- mdibaiee/awesome-lite-websites (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:52.994762+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 2026-08-30T04:33:23.271855+00:00, confidence not recorded.
  - readme: https://github.com/mdibaiee/awesome-lite-websites (fetched 2026-08-28T04:04:52.994762+00:00, sha b8082d19d842)
- Data as of 2026-08-30T08:39:29.467469+00:00.