OptiLine-Py
Raceline Optimisation Toolkit
OptiLine-Py is a Python package for computing optimal racing lines around closed circuits. It offers multiple levels of fidelity — from purely geometric methods (minimum-curvature and shortest-path via QP) to lap-time proxy optimisation (CMA-ES / ZORM over kinematic velocity profiles) to full minimum-time optimal control via direct Gauss–Legendre collocation with CasADi and IPOPT. The package includes a procedural map generator, enabling the creation of arbitrarily large synthetic track datasets for machine-learning research.
Requires Python 3.10–3.12, along with NumPy, SciPy, Matplotlib, quadprog, and CasADi.
Documentation
For full documentation, API reference, usage examples, and track/vehicle data formats, see the GitHub repository.
1 maintainer
Metadata
1 maintainer
Release files for OptiLine-Py 0.2.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| optiline_py-0.2.8.tar.gz | 93.6 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
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| optiline_py-0.2.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 189.8 kB
Release files / optiline_py-0.2.8.tar.gz
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Release files / optiline_py-0.2.8-py3-none-any.whl
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