https://github.com/datamade/usaddress
:us: a python library for parsing unstructured United States address strings into address components
Science Score: 36.0%
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○DOI references
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○Academic publication links
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✓Committers with academic emails
2 of 19 committers (10.5%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (12.2%) to scientific vocabulary
Keywords
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Repository
:us: a python library for parsing unstructured United States address strings into address components
Basic Info
- Host: GitHub
- Owner: datamade
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://parserator.datamade.us/usaddress
- Size: 6.8 MB
Statistics
- Stars: 1,583
- Watchers: 38
- Forks: 304
- Open Issues: 163
- Releases: 0
Topics
Metadata Files
README.md
usaddress
usaddress is a Python library for parsing unstructured United States address strings into address components, using advanced NLP methods.
What this can do: Using a probabilistic model, it makes (very educated) guesses in identifying address components, even in tricky cases where rule-based parsers typically break down.
What this cannot do: It cannot identify address components with perfect accuracy, nor can it verify that a given address is correct/valid.
It also does not normalize the address. However, this library built on top of usaddress does.
Tools built with usaddress
Parserator API
A RESTful API built on top of usaddress for programmers who don't use python. Requires an API key and the first 1,000 parses are free.
Parserator Google Sheets App
Parserator: Parse and Split Addresses allows you to easily split addresses into separate columns by street, city, state, zipcode and more right in Google Sheets.
How to use the usaddress python library
- Install usaddress with pip, a tool for installing and managing python packages (beginner's guide here).
In the terminal,
bash
pip install usaddress
2. Parse some addresses!
Note that parse and tag are different methods:
```python
import usaddress
addr='123 Main St. Suite 100 Chicago, IL'
# The parse method will split your address string into components, and label each component. # expected output: [(u'123', 'AddressNumber'), (u'Main', 'StreetName'), (u'St.', 'StreetNamePostType'), (u'Suite', 'OccupancyType'), (u'100', 'OccupancyIdentifier'), (u'Chicago,', 'PlaceName'), (u'IL', 'StateName')] usaddress.parse(addr)
# The tag method will try to be a little smarter # it will merge consecutive components, strip commas, & return an address type # expected output: (OrderedDict([('AddressNumber', u'123'), ('StreetName', u'Main'), ('StreetNamePostType', u'St.'), ('OccupancyType', u'Suite'), ('OccupancyIdentifier', u'100'), ('PlaceName', u'Chicago'), ('StateName', u'IL')]), 'Street Address') usaddress.tag(addr) ```
How to use this development code (for the nerds)
usaddress uses parserator, a library for making and improving probabilistic parsers - specifically, parsers that use python-crfsuite's implementation of conditional random fields. Parserator allows you to train the usaddress parser's model (a .crfsuite settings file) on labeled training data, and provides tools for adding new labeled training data.
Building & testing the code in this repo
To build a development version of usaddress on your machine, run the following code in your command line:
git clone https://github.com/datamade/usaddress.git
cd usaddress
pip install -e ."[dev]"
Then run the testing suite to confirm that everything is working properly:
pytest
Having trouble building the code? Open an issue and we'd be glad to help you troubleshoot.
Adding new training data
If usaddress is consistently failing on particular address patterns, you can adjust the parser's behavior by adding new training data to the model. Follow our guide in the training directory, and be sure to make a pull request so that we can incorporate your contribution into our next release!
Important links
- Web Interface: https://parserator.datamade.us/usaddress
- Python Package Distribution: https://pypi.python.org/pypi/usaddress
- Python Package Documentation: https://usaddress.readthedocs.io/
- API Documentation: https://parserator.datamade.us/api-docs
- Repository: https://github.com/datamade/usaddress
- Issues: https://github.com/datamade/usaddress/issues
- Blog post: http://datamade.us/blog/parsing-addresses-with-usaddress
Team
- Forest Gregg, DataMade
- Cathy Deng, DataMade
- Miroslav Batchkarov, University of Sussex
- Jean Cochrane, DataMade
Bad Parses / Bugs
Report issues in the issue tracker
If an address was parsed incorrectly, please let us know! You can either open an issue or (if you're adventurous) add new training data to improve the parser's model. When possible, please send over a few real-world examples of similar address patterns, along with some info about the source of the data - this will help us train the parser and improve its performance.
If something in the library is not behaving intuitively, it is a bug, and should be reported.
Note on Patches/Pull Requests
- Fork the project.
- Make your feature addition or bug fix.
- Send us a pull request. Bonus points for topic branches!
Copyright
Copyright (c) 2025 Atlanta Journal Constitution. Released under the MIT License.
Owner
- Name: datamade
- Login: datamade
- Kind: organization
- Email: info@datamade.us
- Location: Chicago, IL
- Website: http://datamade.us
- Twitter: datamadeco
- Repositories: 123
- Profile: https://github.com/datamade
We build open source technology using open data to empower journalists, researchers, governments and advocacy organizations.
GitHub Events
Total
- Issues event: 12
- Watch event: 65
- Delete event: 1
- Issue comment event: 28
- Push event: 12
- Pull request review comment event: 6
- Pull request review event: 8
- Pull request event: 17
- Fork event: 9
- Create event: 11
Last Year
- Issues event: 12
- Watch event: 65
- Delete event: 1
- Issue comment event: 28
- Push event: 12
- Pull request review comment event: 6
- Pull request review event: 8
- Pull request event: 17
- Fork event: 9
- Create event: 11
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Cathy Deng | c****5@g****m | 185 |
| Forest Gregg | f****g@u****u | 159 |
| Jean Cochrane | j****n@j****m | 16 |
| Derek Eder | d****r@g****m | 16 |
| Miroslav Batchkarov | m****v@g****m | 13 |
| Xavier Medrano | x****o@X****l | 8 |
| Michael Lissner | m****r@m****m | 6 |
| Brent Payne | b****e@g****m | 4 |
| Travis Brown | t****s@b****m | 4 |
| Xavier Medrano | x****o@x****n | 3 |
| Ben Shulman | s****n@g****m | 2 |
| Jacob R. Stevens | s****9@p****u | 2 |
| Dave Guarino | d****e@c****g | 1 |
| Mark Baas | m****s@g****m | 1 |
| Tanya Schlusser | t****a@t****t | 1 |
| xmedr | 1****r | 1 |
| Shahin Saneinejad | s****d@c****m | 1 |
| Adam Chainz | a****m@a****u | 1 |
| RJ | r****g@c****g | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 123
- Total pull requests: 28
- Average time to close issues: 8 months
- Average time to close pull requests: about 3 years
- Total issue authors: 114
- Total pull request authors: 11
- Average comments per issue: 0.56
- Average comments per pull request: 0.71
- Merged pull requests: 8
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 10
- Pull requests: 12
- Average time to close issues: about 2 months
- Average time to close pull requests: 10 days
- Issue authors: 9
- Pull request authors: 4
- Average comments per issue: 0.7
- Average comments per pull request: 0.17
- Merged pull requests: 8
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- stevetb777 (2)
- dimaryaz (2)
- rbrtmrtn (2)
- PoRich (2)
- fablet (2)
- Aj-232425 (2)
- boompig (2)
- stdavis (2)
- webauthor (2)
- AmericanY (2)
- Baugus (1)
- nonprofittechy (1)
- evanrzai (1)
- ezheidtmann (1)
- bschollnick (1)
Pull Request Authors
- xmedr (9)
- bbharathrao (5)
- vasil166 (2)
- ecatkins (2)
- rptetzloff (2)
- adriennefranke (2)
- mlissner (2)
- tirkarthi (2)
- IlyaSukhanov (2)
- stdavis (1)
- fgregg (1)
Top Labels
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Packages
- Total packages: 3
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Total downloads:
- pypi 2,026,352 last-month
- Total docker downloads: 7,830
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Total dependent packages: 11
(may contain duplicates) -
Total dependent repositories: 149
(may contain duplicates) - Total versions: 50
- Total maintainers: 2
pypi.org: usaddress
Parse US addresses using conditional random fields
- Homepage: https://github.com/datamade/usaddress
- Documentation: https://usaddress.readthedocs.io/
- License: MIT License
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Latest release: 0.5.16
published 7 months ago
Rankings
Maintainers (2)
proxy.golang.org: github.com/datamade/usaddress
- Documentation: https://pkg.go.dev/github.com/datamade/usaddress#section-documentation
- License: mit
-
Latest release: v0.5.16
published 7 months ago
Rankings
conda-forge.org: usaddress
- Homepage: https://github.com/datamade/usaddress
- License: MIT
-
Latest release: 0.5.10
published over 3 years ago