# Humanizr/Humanizer

Humanizer meets all your .NET needs for manipulating and displaying strings, enums, dates, times, timespans, numbers and quantities

Repository: https://github.com/Humanizr/Humanizer
Canonical: https://ross.abutalabs.com/products/humanizr-humanizer
Language: C#
License: NOASSERTION
License Family: other
Topics: localization, hacktoberfest
Last push: 2026-08-21T13:15:37+00:00

## Health v2 (maintenance only)
Score: 90/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 74, longevity 100
- inputs: {"age_days": 5235, "days_push": 12, "days_rel": 179, "gap_med": 18.5, "n_releases_24m": 7}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 9834, forks 1066 (observed 2026-08-28T04:10:37.439412+00:00)

## What it is
Humanizer is a popular .NET library for transforming strings, enums, dates, timespans, numbers, and quantities into human-friendly, localized text. It supports pluralization, grammatical cases, number-to-words conversion, and byte-size formatting across many cultures.

## Use cases
- humanize dates and timespans in .NET
- convert numbers to words
- pluralize and singularize nouns with culture rules
- format byte sizes as MB or KiB
- localize quantity and duration text
- turn enums into readable labels

## When to choose
- you need localized, human-readable output of dates, numbers, or quantities in .NET
- you need culture-aware pluralization including complex plural rules
- you want a mature, widely used NuGet package

## When to avoid
- you are not working in the .NET ecosystem
- you need full machine translation rather than formatting
- you need locale case support not yet verified by the library

## Facets
- artifact type: library
- maturity: stable
- function: internationalization, serialization, developer-tools
- domain: developer-tools, cross-platform
- platform: dotnet, cross-platform
- tags: string-manipulation, human-readable-text, pluralization, date-formatting, number-to-words, net-library, localization

## Member repositories
- Humanizr/Humanizer (main) score 90

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:37.439412+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 2026-08-29T17:20:55.254881+00:00, confidence not recorded.
  - readme: https://github.com/Humanizr/Humanizer (fetched 2026-08-28T04:10:37.439412+00:00, sha d888036f47fd)
- Data as of 2026-08-30T08:39:29.467469+00:00.