Metadata-Version: 2.1
Name: veroviz
Version: 0.2.1
Summary: VeRoViz: Vehicle Routing Visualization
Home-page: https://veroviz.org
Author: Chase Murray, Lan Peng
Author-email: cmurray3@buffalo.edu, lanpeng@buffalo.edu
License: MIT
Download-URL: https://github.com/optimatorlab/veroviz
Project-URL: Bug Tracker, https://github.com/optimatorlab/veroviz/issues
Project-URL: Documentation, https://veroviz.org
Project-URL: Source Code, https://github.com/optimatorlab/veroviz
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=2.7
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: geopy
Requires-Dist: psycopg2-binary
Requires-Dist: urllib3
Requires-Dist: folium
Requires-Dist: tripy
Requires-Dist: scipy


VeRoViz is a suite of tools (primarily written in Python) to easily generate, test, and visualize vehicle routing problems.

Key features of the Python tools include:
- Generation of nodes on road networks;
- Calculation of travel time/distance matrices using external data providers;
- Creation of Leaflet maps to view nodes, routes, and basic geometric shapes; and 
- Generation of dynamic CesiumJS content to view 4D "movies" of vehicle routing problems.

Source code is available at https://github.com/optimatorlab/veroviz.  Documentation and examples are maintained on the project homepage (https://veroviz.org).



