OSMnx
OSMnx: A Python package to work with graph-theoretic OpenStreetMap street networks - Published in JOSS (2017)
Science Score: 100.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 4 DOI reference(s) in README and JOSS metadata -
○Academic publication links
-
✓Committers with academic emails
7 of 89 committers (7.9%) from academic institutions -
○Institutional organization owner
-
✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords
Keywords from Contributors
Scientific Fields
Repository
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Basic Info
- Host: GitHub
- Owner: gboeing
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://osmnx.readthedocs.io
- Size: 7.88 MB
Statistics
- Stars: 5,248
- Watchers: 111
- Forks: 845
- Open Issues: 6
- Releases: 0
Topics
Metadata Files
README.md
OSMnx
OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap. You can download and model walking, driving, or biking networks with a single line of code then analyze and visualize them. You can just as easily work with urban amenities/points of interest, building footprints, transit stops, elevation data, street orientations, speed/travel time, and routing.
OSMnx 2.0 is released: read the migration guide.
Citation
If you use OSMnx in your work, please cite the paper:
Boeing, G. (2025). Modeling and Analyzing Urban Networks and Amenities with OSMnx. Geographical Analysis, published online ahead of print. doi:10.1111/gean.70009
Getting Started
First read the Getting Started guide for an introduction to the package and FAQ.
Then work through the Examples Gallery for step-by-step tutorials and sample code.
Installation
Follow the Installation guide to install OSMnx.
Support
If you have any trouble, consult the User Reference. The OSMnx repository is hosted on GitHub. If you have a "how-to" or usage question, please ask it on StackOverflow, as we reserve the repository's issue tracker for bug tracking and feature development.
License
OSMnx is open source and licensed under the MIT license. OpenStreetMap's open data license requires that derivative works provide proper attribution. Refer to the Getting Started guide for usage limitations.
Owner
- Name: Geoff Boeing
- Login: gboeing
- Kind: user
- Location: Los Angeles, California
- Company: University of Southern California
- Website: https://geoffboeing.com/
- Twitter: gboeing
- Repositories: 60
- Profile: https://github.com/gboeing
Urban planning professor at USC: urban analytics, street networks, rental markets, data science.
JOSS Publication
OSMnx: A Python package to work with graph-theoretic OpenStreetMap street networks
Tags
openstreetmap street network network analysis graph theory physics GIS geospatial urban planning urban design transportationCitation (CITATION.cff)
cff-version: 1.2.0
title: OSMnx
message: If you use OSMnx, please cite the preferred-citation below.
type: software
authors:
- family-names: Boeing
given-names: Geoff
orcid: https://orcid.org/0000-0003-1851-6411
identifiers:
- type: doi
value: 10.1111/gean.70009
description: Official reference paper
repository-code: https://github.com/gboeing/osmnx
url: https://osmnx.readthedocs.org
abstract: >-
OSMnx is a Python package to easily download, model, analyze, and visualize
street networks and other geospatial features from OpenStreetMap.
license: MIT
preferred-citation:
type: article
authors:
- family-names: Boeing
given-names: Geoff
orcid: https://orcid.org/0000-0003-1851-6411
year: 2025
title: Modeling and Analyzing Urban Networks and Amenities with OSMnx
journal: Geographical Analysis
volume: published online ahead of print
issue: published online ahead of print
start: 1
end: 23
doi: 10.1111/gean.70009
Papers & Mentions
Total mentions: 4
A substrate for modular, extensible data-visualization
- DOI: 10.1186/s41044-019-0043-6
- OpenAlex ID: https://openalex.org/W3031707444
- Published: February 2020
Open grid model of Australia’s National Electricity Market allowing backtesting against historic data
- DOI: 10.1038/sdata.2018.203
- OpenAlex ID: https://openalex.org/W2895829906
- Published: October 2018
Breaking limitation of quantum annealer in solving optimization problems under constraints
- DOI: 10.1038/s41598-020-60022-5
- OpenAlex ID: https://openalex.org/W3006895320
- Published: February 2020
Disparities in travel times between car and transit: Spatiotemporal patterns in cities
- DOI: 10.1038/s41598-020-61077-0
- OpenAlex ID: https://openalex.org/W3009384743
- Published: March 2020
GitHub Events
Total
- Issues event: 51
- Watch event: 348
- Delete event: 61
- Issue comment event: 179
- Push event: 234
- Pull request review event: 8
- Pull request review comment event: 12
- Pull request event: 136
- Fork event: 30
- Create event: 69
Last Year
- Issues event: 51
- Watch event: 348
- Delete event: 61
- Issue comment event: 179
- Push event: 234
- Pull request review event: 8
- Pull request review comment event: 12
- Pull request event: 136
- Fork event: 30
- Create event: 69
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Geoff Boeing | b****g@u****u | 3,132 |
| Nick Bristow | w****l@n****k | 120 |
| Max Gardner | g****x@g****m | 50 |
| Henrikki Tenkanen | h****n@h****i | 36 |
| Michal Migurski | m****e@r****m | 34 |
| pablo | p****o@g****m | 26 |
| Ewout ter Hoeven | E****n@s****l | 21 |
| davidmurray | d****6@h****m | 17 |
| cheginit | c****t@g****m | 16 |
| Daniel Himmelstein | d****n@g****m | 13 |
| Miroslav Šedivý | 6****o | 13 |
| Samuel Letellier-Duchesne | s****e@m****m | 13 |
| d-wasserman | d****n@g****m | 10 |
| PedrosWits | p****a@g****m | 7 |
| Kuan Butts | k****s@g****m | 7 |
| Jonas Klasen | j****n@m****o | 6 |
| guibar | g****u@g****m | 6 |
| Neil Cotie | n****e@u****u | 6 |
| groundrace | g****e@m****m | 6 |
| Charlie Matlack | c****k@g****m | 5 |
| Martin Fleischmann | m****n@m****t | 5 |
| Ben Fischer | b****r@o****m | 5 |
| nikita | n****5 | 5 |
| Nick ODell | n****l@g****m | 5 |
| pmlpm1986 | 9****6 | 4 |
| dependabot[bot] | 4****] | 4 |
| Sebastiano Milardo | s****o@h****t | 4 |
| Veith Roethlingshoefer | v****h@u****i | 4 |
| McToel | t****n@g****e | 4 |
| Alissa Gerhard | a****d@p****m | 3 |
| and 59 more... | ||
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 170
- Total pull requests: 392
- Average time to close issues: 26 days
- Average time to close pull requests: 3 days
- Total issue authors: 133
- Total pull request authors: 40
- Average comments per issue: 3.68
- Average comments per pull request: 1.41
- Merged pull requests: 343
- Bot issues: 0
- Bot pull requests: 6
Past Year
- Issues: 33
- Pull requests: 123
- Average time to close issues: 4 days
- Average time to close pull requests: 1 day
- Issue authors: 31
- Pull request authors: 11
- Average comments per issue: 2.82
- Average comments per pull request: 0.98
- Merged pull requests: 99
- Bot issues: 0
- Bot pull requests: 2
Top Authors
Issue Authors
- gboeing (11)
- EwoutH (11)
- pmlpm1986 (3)
- winnewoerp (3)
- playgithub (3)
- VasuPadsumbia (2)
- MihirT-10 (2)
- timverlaan (2)
- matkoniecz (2)
- cheginit (2)
- kkdd (2)
- nickodell (2)
- Prajwalita (2)
- Dr-AlaaKhamis (2)
- Vuizur (2)
Pull Request Authors
- gboeing (355)
- EwoutH (9)
- dependabot[bot] (8)
- dhimmel (6)
- djs113 (6)
- cheginit (4)
- nikita03565 (3)
- davidmurray (3)
- martinfleis (2)
- tanpinquan (2)
- aburgr (2)
- Georgepop (2)
- AtelierLibre (2)
- arkty (2)
- mitanshu7 (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 3
-
Total downloads:
- pypi 394,749 last-month
- Total docker downloads: 1,040
-
Total dependent packages: 83
(may contain duplicates) -
Total dependent repositories: 654
(may contain duplicates) - Total versions: 185
- Total maintainers: 1
pypi.org: osmnx
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap
- Documentation: https://osmnx.readthedocs.io
- License: MIT License
-
Latest release: 2.0.6
published 5 months ago
Rankings
Maintainers (1)
conda-forge.org: osmnx
OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap. You can download and model walking, driving, or biking networks with a single line of code then analyze and visualize them. You can just as easily work with urban amenities/points of interest, building footprints, transit stops, elevation data, street orientations, speed/travel time, and routing.
- Homepage: https://osmnx.readthedocs.io
- License: MIT
-
Latest release: 1.2.2
published over 3 years ago
Rankings
proxy.golang.org: github.com/gboeing/osmnx
- Documentation: https://pkg.go.dev/github.com/gboeing/osmnx#section-documentation
- License: mit
-
Latest release: v2.0.6+incompatible
published 5 months ago
Rankings
Dependencies
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