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.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.2.5)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for Amirali78Farzin from gravatar.com Amirali78Farzin

Credits

Author: Amir Ali Farzin

License

MIT License (MIT)

Requires

Python <3.13, >=3.10

Tags

raceline optimization autonomous racing zeroth-order

Classifiers

Report project as malware

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-0.1.9.5.tar.gz (72.3 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-0.1.9.5-py3-none-any.whl (74.8 kB view details)

Uploaded Python 3

File details

Details for the file optiline_py-0.1.9.5.tar.gz.

File metadata

  • Download URL: optiline_py-0.1.9.5.tar.gz
  • Upload date:
  • Size: 72.3 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-0.1.9.5.tar.gz
Algorithm Hash digest
SHA256 9c7fa6f66a9e4779b1ac605426522affecbd668702307764640f7e2223d92111
MD5 b002b1aa23243c4f0e9e510e12ecd42a
BLAKE2b-256 3aa7b64200e586c0347dec5535afa5908abb8b9c4f1a7bde647489fbf3111106

See more details on using hashes here.

File details

Details for the file optiline_py-0.1.9.5-py3-none-any.whl.

File metadata

  • Download URL: optiline_py-0.1.9.5-py3-none-any.whl
  • Upload date:
  • Size: 74.8 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-0.1.9.5-py3-none-any.whl
Algorithm Hash digest
SHA256 e3ef5cb28cba5e9ec910119ae9fa528fabb957c1f25b10e764c018d31d3e78d8
MD5 835223c87234d27ebdf188e948fefdcc
BLAKE2b-256 69f95c9fe7fac826040f37c8c6130853343dd68de53ee4b4f65e25e94effe2f0

See more details on using hashes here.

Release history Release notifications | RSS feed

0.2.5

2 files

0.2.4

2 files

0.2.3

2 files

0.2.2

2 files

0.2.1

2 files

0.2.0

2 files

0.1.9.6

2 files

This release

0.1.9.5 This release

2 files

0.1.9.0

2 files

0.1.8.5

2 files

0.1.8.4

2 files

0.1.8.3

2 files

0.1.8.2

2 files

0.1.8.1

2 files

0.1.8

2 files

0.1.7.9

2 files

0.1.7.8

2 files

0.1.7.7

2 files

0.1.7.6

2 files

0.1.7.5

2 files

0.1.7.3

2 files

0.1.7.2

2 files

0.1.7.1

2 files

0.1.7

2 files

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