Wazeasy is a Python package currently under development, designed to process and analyze Waze data. It helps create common analyses such as the number of jams per day by level, congestion by H3 level, and more.
Since Wazeasy is not yet available on PyPI, you can install it directly from the repository:
git clone https://github.com/worldbank/wazeasy.git
cd wazeasy
pip install -e .import wazeasy
# Your analysis code hereDocumentation for this package can be found here.
For questions, feedback, or contributions, please contact:
- Development Data Partnership: datalab@worldbank.org
- GitHub Issues: github@worldbank.org
You can also open an issue in the GitHub repository.
The World Bank Data Lab template used to create this project maintains a Code of Conduct to ensure an inclusive and respectful environment for everyone. Please adhere to it in all interactions within our community.
This project is licensed under the MIT License together with the World Bank IGO Rider. The Rider is purely procedural: it reserves all privileges and immunities enjoyed by the World Bank, without adding restrictions to the MIT permissions. Please review both files before using, distributing or contributing.