Visualizing public transport schedule data (GTFS) interactively in a web-browser.
A live demo can be found here: http://transportnetworks.cs.aalto.fi/webviz/. See also this video showing how-to use the tool.
- Python 3.5
- node & npm: https://nodejs.org/
An easy way to get things going with Python 3.5 is to use conda:
conda create --name gtfspy-webviz python=3.5
source activate gtfspy-webviz
pip install -r requirements.txt
npm install
First import GTFS data using the gtfspy Python package into an SQLite directory stored on disk. An example how to do this..
Change the DB_DIR variable in the settings.py file to point to the directory where you have stored the SQLite database.
If you have stored the database with another file ending than what is listed in the settings.py, please add the file ending to that list.
Run the following in the terminal:
python run.py # starts the backend-development server
npm start # starts the development environment
Open http://localhost:8080/ in your browser. Enjoy.
All files under directories src/js src/html src/css are licensed under MIT license. For the licenses of the Javascript libraries under src/lib, please see their source code.
npm run-script build
@rmkujala, Rainer.Kujala@gmail.com
Richard Darst, Christoffer Weckström
The development of this visualization tool has benefited from the support by Academy of Finland through the DeCoNet project.
gtfspy Python package for analyzing public transport networks
