datamade/usaddress
:us: a python library for parsing unstructured United States address strings into address components
This tool helps data analysts, researchers, or anyone working with large datasets of U.S. addresses to clean and standardize their location data. It takes messy, unstructured address text as input and breaks it down into individual components like street number, street name, city, state, and zip code, making your data ready for analysis or mapping. This is ideal for professionals needing to organize geographic information efficiently.
1,618 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to reliably split unstructured United States address strings into their distinct components for data cleaning, analysis, or integration.
Not ideal if you need to verify if an address is real, correct, or standardize it into a canonical format, as this tool focuses solely on parsing.
Stars
1,618
Forks
308
Language
Python
License
MIT
Category
Last pushed
Aug 07, 2025
Commits (30d)
0
Dependencies
2
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