python-nameparser

Parse human names into components like first name and last name.

EstablishedOpen SourceLow lock-in

Pricing

Free tier

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Aging · Jun 8, 2026

Overview

What is python-nameparser?

Python library for parsing human names into their individual components such as first name, middle name, last name, etc. Useful in data processing tasks where structured name information is required.

Key differentiator

python-nameparser offers a straightforward and customizable approach to parsing human names into structured components, making it ideal for data processing tasks that require accurate name component separation.

Capability profile

Capability Radar

Ease of StartEcosystemValueMaturityFlexibilityScale Ready

Honest assessment

Strengths & Weaknesses

↑ Strengths

Parses names into components like first name, last name, middle name, etc.medium

Handles various naming conventions and formats.medium

Customizable parsing rules for different cultures or languages.medium

↓ Weaknesses

Limited support for non-Western nameshigh

The library's parsing rules are primarily optimized for Western naming conventions, which may lead to inaccurate parsing of names from other cultures.

Frequent breaking changes between versionsmedium

Historical updates have included significant API changes that required substantial refactoring in user code, such as the v0.1 to v0.2 migration which necessitated rewriting chain definitions.

Poor documentation for advanced customizationmedium

The official documentation lacks comprehensive examples and explanations on how to customize parsing rules beyond basic usage, making it challenging for users who need to handle specific cultural or linguistic nuances.

Performance issues with large datasetslow

Parsing a large number of names can be slow due to the library's reliance on regular expressions and complex parsing logic, which may impact throughput in high-performance data processing tasks.

Fit analysis

Who is it for?

✓ Best for

Developers working on projects requiring the parsing and structuring of human names.

Data scientists cleaning datasets that contain unstructured name data.

✕ Not a fit for

Projects where real-time performance is critical as this library may not be optimized for speed.

Applications dealing with extremely large datasets where more efficient processing methods are required.

Cost structure

Pricing

Free Tier

Available

Open source — free to use

Starts at

$0

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Next step

Get Started with python-nameparser

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →