# matthewmueller/date

Date() for humans

Repository: https://github.com/matthewmueller/date
Canonical: https://ross.abutalabs.com/products/matthewmueller-date
Homepage: http://matthewmueller.github.io/date/
Language: JavaScript
License Family: other
Last push: 2022-09-15T02:18:59+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": 4856, "days_push": 1449, "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 1476, forks 87 (observed 2026-08-28T04:04:50.257492+00:00)

## What it is
A JavaScript library that parses English-language date and time expressions like 'tomorrow at 3pm' or '10 minutes from now' into JavaScript Date objects. It works in Node.js and the browser and accepts an optional offset date as the reference point.

## Use cases
- parse natural language dates like 'tomorrow at 3pm' into Date objects
- convert phrases like '10 minutes from now' to timestamps
- interpret user-typed date input in scheduling apps
- parse relative dates such as 'last monday at 1am'
- handle date expressions like '2nd of January 4:00am'

## When to choose
- you need to turn human-written English date phrases into Date objects
- you want a small, browser-compatible date parser with a simple API
- your app accepts free-form date input from users

## When to avoid
- you need actively maintained software with recent updates
- you need parsing for languages other than English
- you need timezone-aware or locale-specific date formatting

## Facets
- artifact type: library
- maturity: maintenance
- function: parser, nlp, date-time
- domain: developer-tools, web-development
- platform: browser
- tags: date-parsing, natural-language-dates, english-language, natural-language-processing, nodejs, javascript

## Member repositories
- matthewmueller/date (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:50.257492+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 2026-08-30T04:34:28.091398+00:00, confidence not recorded.
  - readme: https://github.com/matthewmueller/date (fetched 2026-08-28T04:04:50.257492+00:00, sha a0cad1fb73aa)
  - homepage: http://matthewmueller.github.io/date/ (fetched 2026-08-29T11:42:04.055828+00:00, sha 56a8126284a6)
- Data as of 2026-08-30T08:39:29.467469+00:00.