# Daniel-Liu-c0deb0t/uwu

fastest text uwuifier in the west

Repository: https://github.com/Daniel-Liu-c0deb0t/uwu
Canonical: https://ross.abutalabs.com/products/uwu
Homepage: https://crates.io/crates/uwuify
Language: Rust
License: MIT
License Family: permissive
Topics: uwu, owo, simd
Last push: 2024-01-02T09:38:37+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": 1996, "days_push": 974, "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 1424, forks 43 (observed 2026-08-28T04:04:41.407793+00:00)

## What it is
uwuify is a Rust CLI tool and library that transforms text into 'uwu' style internet-speak using SIMD (SSE4.1) vectorization for extremely fast processing. It performs word replacement, nya-ification, l/r to w substitution, stuttering, and emoji insertion, with multithreading support.

## Use cases
- uwuify large amounts of text quickly
- transform text into cutesy internet-speak from the command line
- pipe text through stdin to get uwu'd output
- include an uwuifier as a Rust library in a project
- process text files and write uwu'd versions to output files

## When to choose
- you need to uwuify text at very high throughput using SIMD and multithreading
- you want a simple command-line tool or a Rust crate for text transformation
- you're on an x86 CPU with SSE4.1 support

## When to avoid
- you need correct uwuification of every word, since SIMD/thread boundary crossing can skip some words
- you're on non-x86 hardware without SSE4.1
- you need Unicode-aware processing, as non-ASCII characters are ignored

## Facets
- artifact type: cli-tool
- maturity: stable
- function: cli, nlp
- domain: developer-tools
- platform: windows, cli, rust
- tags: uwu, owo, simd, text-transformation, novelty, rust-library, command-line, natural-language-processing, linux, macos

## Member repositories
- Daniel-Liu-c0deb0t/uwu (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:41.407793+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 2026-08-30T04:37:33.302844+00:00, confidence not recorded.
  - readme: https://github.com/Daniel-Liu-c0deb0t/uwu (fetched 2026-08-28T04:04:41.407793+00:00, sha bde43e7e4ec2)
- Data as of 2026-08-30T08:39:29.467469+00:00.