---
id: nr-date
version: "2.1.0"
license: MIT
license_treatment: permissive
maintenance: abandoned
---

# nr-date

License: permissive · Maintenance: abandoned · Downloads: 248.3K/mo

## What it is and what it does

nr.date is a pure-Python date parsing library that uses regular expressions to extract and parse dates from strings. It has no external runtime dependencies beyond the standard library's dataclasses module, making it lightweight to install. The library supports Python 3.6 through 3.11 and was last updated in August 2023.

The package is designed for regex-based date parsing without the overhead of more complex parsing frameworks. However, it is no longer actively maintained—the project has been abandoned with no updates expected. Users should be aware that any bugs or compatibility issues discovered after the final release will not be addressed.

Use it for:

- Extract dates from log files or unstructured text where format is relatively consistent.
- Parse dates in data pipelines where speed matters and format variety is limited.
- Quick date extraction in scripts where adding a heavy dependency is not justified.
- Preprocessing text data before feeding it into analysis workflows.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

A pure-Python date parser using regex patterns to extract and parse dates from strings without external dependencies.

Yes, if you need lightweight regex-based date parsing and can accept the maintenance risk. The low install friction, permissive MIT license, and absence of security vulnerabilities make it technically safe. However, the abandoned status means no fixes will arrive—install only if the current feature set meets your needs.

## Install

pip install nr-date
uv add nr-date
poetry add nr-date

## Installing nr-date

Before you install: Installation is straightforward with no compiled dependencies. However, the package is abandoned—last release was 1094 days ago—so no maintenance or bug fixes should be expected.

License in practice: MIT license permits free use, modification, and distribution with minimal restrictions, making it safe to adopt from a licensing standpoint.

Quickstart:

pip install nr-date

from nr.date import parse
result = parse('2023-08-16')

Verify before relying:

- What date formats does the regex-based parser actually support and how complete is coverage?
- How does performance compare to standard library datetime parsing?
- Are there known parsing edge cases or limitations not documented?

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: abandoned
- Downloads: 248.3K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

date parsing library, regex date extraction, fast date parser, python date string parsing, lightweight date parsing, date-parsing, regex-based, abandoned

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