python-nameparser: Parse Human Names into Components

Overview

python-nameparser is a Python library for turning a human name string into components that software can work with. It addresses a common data-processing problem: names do not follow one universal order or format, and simple whitespace splitting can produce unreliable results.

The parser supports configurable behavior, rendering and comparison helpers, and opt-in locale packs. Use it when name-aware processing is more useful than treating a name as an undifferentiated string. See the repository and documentation for details.

Key Features

• Parses names into title, given, middle, family, suffix, nickname, and maiden fields.
• Provides helpers for family-name particles and aggregate given-name or surname values.
• Renders parsed names into caller-defined formats.
• Supports configurable parsing behavior and composable configuration.
• Offers opt-in locale packs for additional language-specific conventions.
• Includes support for East Asian names and recognition of some non-Latin titles and name markers.
• Provides a command-line interface with JSON output.

Use Cases

• Application developers can structure names entered in forms before storing or displaying them.
• Data engineers can normalize name fields during text-processing or data-import workflows.
• Directory and contact tool maintainers can format names consistently for lists, labels, or exports.
• Internationalized applications can use locale packs when parsing conventions differ by language or script.

Getting Started

Install from PyPI:

pip install nameparser

For usage and configuration details, see the README and documentation.

Considerations

• Requires Python 3.11 or newer.
• Name parsing is inherently ambiguous; results depend on the input and parser configuration, so validate behavior against the names your application handles.
• Locale packs are opt-in, and some language-specific splitting behavior should not be assumed without selecting the appropriate locale.
• The input reports the license as NOASSERTION, while the README describes the project as LGPL licensed. Review the repository's LICENSE file to confirm licensing terms for your use.