Raceline optimisation tools

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Amirali78Farzin from gravatar.com Amirali78Farzin

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License (MIT)
  • Author: Amir Ali Farzin
  • Tags raceline , optimization , autonomous racing , zeroth-order
  • Requires: Python <3.13, >=3.10
Classifiers
Report project as malware

Project description

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.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Amirali78Farzin from gravatar.com Amirali78Farzin

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License (MIT)
  • Author: Amir Ali Farzin
  • Tags raceline , optimization , autonomous racing , zeroth-order
  • Requires: Python <3.13, >=3.10
Classifiers

Release history Release notifications | RSS feed

0.1.8.5

0.1.8.4

0.1.8.3

0.1.8.2

0.1.8.1

0.1.8

This version

0.1.7.9

0.1.7.8

0.1.7.7

0.1.7.6

0.1.7.5

0.1.7.3

0.1.7.2

0.1.7.1

0.1.7

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

optiline_py-0.1.7.9.tar.gz (66.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

optiline_py-0.1.7.9-py3-none-any.whl (69.2 kB view details)

Uploaded Python 3

File details

Details for the file optiline_py-0.1.7.9.tar.gz.

File metadata

  • Download URL: optiline_py-0.1.7.9.tar.gz
  • Upload date:
  • Size: 66.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.2 CPython/3.10.12 Linux/6.8.0-111-generic

File hashes

Hashes for optiline_py-0.1.7.9.tar.gz
Algorithm Hash digest
SHA256 99893c4fbd156aa2b4d3c1a84303b328b751b6aee0c572080490a9dc110e5198
MD5 4e8eba7f7ad9b3bd8b3e68e4d85b2ec5
BLAKE2b-256 f1c8b520f6e648c1ef061149d2e93164b0c6eea15e872e43cee7c49995b47e28

See more details on using hashes here.

File details

Details for the file optiline_py-0.1.7.9-py3-none-any.whl.

File metadata

  • Download URL: optiline_py-0.1.7.9-py3-none-any.whl
  • Upload date:
  • Size: 69.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.2 CPython/3.10.12 Linux/6.8.0-111-generic

File hashes

Hashes for optiline_py-0.1.7.9-py3-none-any.whl
Algorithm Hash digest
SHA256 6cb47c70d58c29ed3ee75354dc0ceff3beabe0fd9858af0b93d428c70297ebab
MD5 cf8b506c6fde22dcef60d3da53362050
BLAKE2b-256 577f6436e71d3415b5fdb87d0cabe643d2308117dbb94043af1f6ec08bb9dcf1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page