nr-date
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
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 · maintenance · safety
MIT (permissive) — MIT license permits free use, modification, and distribution with minimal restrictions, making it safe to adopt from a licensing standpoint.
last release 2023-08-16 (1094 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 248,262 downloads/mo, #8,670 on PyPI
Alternatives
Verify before relying
pip install nr-date
from nr.date import parse
result = parse('2023-08-16')- 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?
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 However, it is no longer actively maintained—the project has been abandoned with no updates expected.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 on this page. Verify before relying on it.
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
nr-date on PyPI
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 the current Python release >=3.6,<4.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagedataclasses |
| Maintenance | Abandoned 1,094 days since the last release |
| First released | |
| Downloads | 248,262 / month, #8,670 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: nr_date-2.1.0-py3-none-any.whl
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