modeling library for transport planning
Project description
quetzal
What is it?
quetzal is a Python package providing flexible models for transport planning and traffic forecasting. Quetzal is highly optimized to run fast on big cities.
Copyright
(c) SYSTRA
License
Documentation
The official documentation is hosted on https://systragroup.github.io/quetzal
Backward compatibility
In order to improve the ergonomics, the code may be re-factored and a few method calls may be re-designed. As a consequence, the backward compatibility of the library is not guaranteed. Therefore, the version of quetzal used for a project should be specified in its requirements.
Installation
https://pypi.org/project/quetzal-transport/
pip install quetzal-transport
Installation from sources
For Linux
poetry
- You may need to set the default (or local) python version in the project
pyenv local 3.12
- install dependancies (this will create a new virtualenv)
poetry install
- activate the env
poetry shell
- (optional) add the env to ipykernel (to use in jupyter)
python -m ipykernel install --user --name=quetzal_env
For Windows
Anaconda 3 + Python 3.12 is supposed to be installed
Poetry and Anaconda (recommended)
To create quetzal_env automatically and install quetzal, open anaconda prompt and run windows-install batch file
(base) C:users\you\path\to\quetzal> windows-install.bat
press enter to accept default environment name or enter a custom name
If you are facing SSL issues
(base) pip config set global.trusted-host "pypi.org files.pythonhosted.org"
(base) C:users\you\path\to\quetzal> windows-install.bat
security warning: the host is added to pip.ini
If you are facing DLL or dependencies issues
Anaconda and Pip do not get along well, your Anaconda install may have been corrupted at some point.
- Remove your envs
- Uninstall Anaconda
- Delete your Python and Anaconda folders (users\you\Anaconda3, users\you\Appdata\Roaming\Python, ...etc)
- Install Anaconda
Tests
to run unittest:
poetry run python -W ignore -m unittest discover
Deploying
- change the version in pyproject.toml
[tool.poetry]
name = "quetzal-transport"
version = "3.1.1"
- edit CHANGELOG.md with the changes
## [3.1.1] (2026-01-15)
## changes
* some changes
- create a tag matching the version (starting with v)
git tag -a v3.1.1 -m 'description'
- push the tag
git push origin v3.1.1
that's it. A Github action will
- build
- create a release
- update the package on pipy.
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