nameparser
A simple Python module for parsing human names into their individual components.
Decision gist · record as of 2026-08-14
Yes. nameparser is stable (Production/Stable status), actively maintained, has zero known vulnerabilities, and solves a real problem with no external dependencies. The LGPL license is permissive for most use cases. Install it if you need to parse or normalize human names, especially in multilingual contexts. Review the 2.0 migration guide if upgrading from 1.x, as some breaking changes exist.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later.
- Low friction: pure Python wheel with no runtime dependencies.
- Active maintenance—released 7 days ago.
License · maintenance · safety
LGPL (copyleft) — LGPL copyleft: you may use and modify freely, but derivative works must also be licensed under LGPL or compatible terms. Suitable for open-source projects; review your licensing obligations if bundling into proprietary software.
last release 2026-08-07 (7 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,106,188 downloads/mo, #2,752 on PyPI
Alternatives
Verify before relying
pip install nameparser
from nameparser import parse
name = parse("Dr. Juan Q. Xavier de la Vega III (Doc Vega)")
print(name.family, name.given, name.title)
# Output: de la Vega Juan Dr.- Whether East Asian name parsing accuracy meets your specific use case (Chinese, Japanese, Korean scripts).
- Performance characteristics when parsing large batches of names.
- Behavior with non-Latin scripts beyond those documented (Arabic, Cyrillic examples shown but full coverage unclear).
What it is and what it does
nameparser is a Python library that breaks down human names into their constituent parts—title, given name, middle name, family name, suffix, nickname, and maiden name. It handles complex naming conventions across multiple languages and scripts, including East Asian names (Chinese, Japanese, Korean) written in their native characters, as well as names with particles (like 'de la'), honorifics, and patronymics. The library returns immutable parsed results and supports opt-in locale packs for language-specific rules.
The package is designed for applications that need to normalize, store, or process names programmatically. It offers both a Python API and a command-line interface. Version 2.1 added East Asian support; the 2.x series maintains backward compatibility with 1.x code through a compatibility layer, though some breaking changes exist. It has no external dependencies, making it lightweight to install.
Use it for
- Extract and normalize name components in contact management or CRM systems.
- Parse names from forms or user input to populate structured database fields.
- Handle multilingual name data in international applications, especially East Asian names.
- Render names in different formats (e.g., 'Last, First') for display or export.
- Validate and split unspaced Korean names using census surname lists.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
nameparser is stable (Production/Stable status), actively maintained, has zero known vulnerabilities, and solves a real problem with no external dependencies. The LGPL license is permissive for most use cases. Install it if you need to parse or normalize human names, especially in multilingual contexts. Review the 2.0 migration guide if upgrading from 1.x, as some breaking changes exist.
Install
nameparser on PyPI
Before you install
Low friction: pure Python wheel with no runtime dependencies. Active maintenance—released 7 days ago. Requires Python 3.11+.
Requires Python 3.11 or later.
License in practice
LGPL copyleft: you may use and modify freely, but derivative works must also be licensed under LGPL or compatible terms. Suitable for open-source projects; review your licensing obligations if bundling into proprietary software.
Quickstart
pip install nameparser
from nameparser import parse
name = parse("Dr. Juan Q. Xavier de la Vega III (Doc Vega)")
print(name.family, name.given, name.title)
# Output: de la Vega Juan Dr.Verify before relying
- Whether East Asian name parsing accuracy meets your specific use case (Chinese, Japanese, Korean scripts).
- Performance characteristics when parsing large batches of names.
- Behavior with non-Latin scripts beyond those documented (Arabic, Cyrillic examples shown but full coverage unclear).
Package facts
| License | LGPL copyleft |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 7 days since the last release |
| First released | |
| Downloads | 3,106,188 / month, #2,752 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)Natural Language :: EnglishOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Software Development :: Libraries :: Python ModulesTopic :: Text Processing :: Linguistic |
Evidence: nameparser-2.1.0-py3-none-any.whl
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