Skip to main content

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.

Metadata

Release files for OptiLine-Py 0.2.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for OptiLine-Py 0.2.6
File Size Uploaded
optiline_py-0.2.6.tar.gz 82.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for OptiLine-Py 0.2.6
File Interpreter ABI Platform
optiline_py-0.2.6-py3-none-any.whl Python 3 none any Details

Total release size: 167.3 kB

Release files / optiline_py-0.2.6.tar.gz

Download URL optiline_py-0.2.6.tar.gz
Size 82.4 kB
Tags Source
SHA-256 checksum
How to use checksums
f574b8ca9015ad3c8b956fa3db79c4ec81ee2a8ec19ac32a1a15247f2374d48b
BLAKE2b-256 checksum
How to use checksums
ee9f2785c25d8759357e02e547082cafc5506597b31e0048ded4ed09b8d6f4a4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/2.1.2 CPython/3.10.12 Linux/6.8.0-138-generic

Release files / optiline_py-0.2.6-py3-none-any.whl

Download URL optiline_py-0.2.6-py3-none-any.whl
Size 84.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
a2585e23125fd80fe4f0c4573a39122cb9dd777a265c8b563ae34a5a68101efe
BLAKE2b-256 checksum
How to use checksums
d11583cb5ac8121fbbc8e665358b64c6b91e664085c03d4d031bc113da4970cc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/2.1.2 CPython/3.10.12 Linux/6.8.0-138-generic
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page