Metadata-Version: 2.1
Name: osmnx
Version: 1.3.0
Summary: Retrieve, model, analyze, and visualize OpenStreetMap street networks and other spatial data
Home-page: https://github.com/gboeing/osmnx
Author: Geoff Boeing
Author-email: boeing@usc.edu
License: MIT
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.9
Description-Content-Type: text/x-rst
Provides-Extra: entropy
Provides-Extra: nearest_neighbor
Provides-Extra: raster
Provides-Extra: web_map
License-File: LICENSE.txt


**OSMnx** is a Python package that lets you download spatial data and
model, project, visualize, and analyze real-world street networks from
OpenStreetMap's APIs. Users can download and model walkable, drivable, or
bikeable urban networks with a single line of Python code, and then easily
analyze and visualize them. You can just as easily download and work with
amenities/points of interest, building footprints, elevation data, street
bearings/orientations, speed/travel time, and network routing.

Citation info: Boeing, G. 2017. `OSMnx: New Methods for Acquiring,
Constructing, Analyzing, and Visualizing Complex Street Networks`_.
*Computers, Environment and Urban Systems* 65, 126-139.
doi:10.1016/j.compenvurbsys.2017.05.004

Read the `docs`_ or see usage examples and demos on `GitHub`_.

.. _GitHub: https://github.com/gboeing/osmnx-examples
.. _docs: https://osmnx.readthedocs.io
.. _OSMnx\: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks: http://geoffboeing.com/publications/osmnx-complex-street-networks/
