Algebraic modelling
laboratory in Python#
Define models using symbolic expressions and YAML or Excel settings.
Manage data in SQLite, keeping model structure separate from numerical data.
Solve models through a CVXPY-based numerical engine.
Connect models with managed data exchange in parallel, sequential, and integrated solution modes.
Set up your environment with the installation guide, then build, solve, and inspect your first model in the quick start.
Follow the full modeling workflow, from conceptual definition to results export.
Look up cvxlab.Model, utility functions, symbolic operators,
constants, and defaults.
Learn through tutorials, explore published models, and find related research.
Explore release changes in the changelog, or help improve CVXlab through the contributing guide.
If you use CVXlab in your work, cite the software version you used through the Zenodo record.
BibTeX
@software{rocco_cvxlab_2026,
author = {Rocco, Matteo V.},
title = {{CVXlab}},
version = {1.1.0},
year = {2026},
publisher = {Zenodo},
doi = {10.5281/zenodo.20644006},
url = {https://doi.org/10.5281/zenodo.20644006}
}
Developed by Matteo V. Rocco, Associate Professor at SESAM group, Department of Energy, Politecnico di Milano.
Released under the Apache License 2.0.