Metadata-Version: 2.1
Name: osmnet
Version: 0.1.7
Summary: Tools for the extraction of OpenStreetMap street network data for use in Pandana accessibility analyses.
Home-page: https://github.com/UDST/osmnet
Author: UrbanSim Inc.
License: AGPL
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: GNU Affero General Public License v3
Requires-Python: >=3
License-File: LICENSE.txt
Requires-Dist: geopandas>=0.11
Requires-Dist: numpy>=1.10
Requires-Dist: pandas>=0.23
Requires-Dist: requests>=2.9.1
Requires-Dist: shapely>=1.8

OSMnet
======

|Build Status|  |Coverage Status|  |Appveyor Build Status|

Tools for the extraction of OpenStreetMap (OSM) street network data.
Intended to be used in tandem with Pandana and UrbanAccess libraries to
extract street network nodes and edges.

Overview
========

OSMnet offers tools to download street network data from OpenStreetMap
and extract a graph network comprised of nodes and edges to be used in
`Pandana`_ street network accessibility calculations and or `UrbanAccess`_
to connect GTFS transit networks to road networks.

Let us know what you are working on or if you think you have a great use case
by tweeting us at ``@urbansim``.

Library Status
--------------

*Forthcoming improvements:*

* Tutorial/demo

Reporting bugs
--------------

Please report any bugs you encounter via `GitHub issues`_.

Contributing to OSMnet
----------------------

If you have improvements or new features you would like to see in OSMnet:

1. Open a feature request via `GitHub issues`_.
2. Contribute your code from a fork or branch by using a Pull Request and request a review so it can be considered as an addition to the codebase.

Installation
------------

conda
^^^^^

OSMnet is available on conda and can be installed with:

``conda install osmnet --channel conda-forge``

It is recommended to install via conda and the conda-forge channel especially if you find you are having issues installing some of the spatial dependencies.

pip
^^^

OSMnet can be installed via PyPI:

``pip install osmnet``

Development Installation
^^^^^^^^^^^^^^^^^^^^^^^^

To install OSMnet from source code, follow these steps:

1. Git clone the `OSMnet repo`_
2. in the cloned directory run: ``python setup.py develop``

To update to the latest version:

Use ``git pull`` inside the cloned repository

Documentation
-------------

Documentation for OSMnet can be found `here`_.

Related UDST libraries
----------------------

-  `Pandana`_
-  `UrbanAccess`_

.. _Pandana: https://github.com/UDST/pandana
.. _GitHub issues: https://github.com/UDST/osmnet/issues
.. _OSMnet repo: https://github.com/udst/osmnet
.. _here: https://udst.github.io/osmnet/index.html
.. _UrbanAccess: https://github.com/UDST/urbanaccess

.. |Build Status| image:: https://travis-ci.org/UDST/osmnet.svg?branch=master
   :target: https://travis-ci.org/UDST/osmnet

.. |Appveyor Build Status| image:: https://ci.appveyor.com/api/projects/status/acuoygyy3l0lqnpv/branch/master?svg=true
   :target: https://ci.appveyor.com/project/pksohn/osmnet

.. |Coverage Status| image:: https://coveralls.io/repos/github/UDST/osmnet/badge.svg?branch=master
   :target: https://coveralls.io/github/UDST/osmnet?branch=master
