Skip to main content

The repository of the py-xl-sindy python package

Project description

py-xl-sindy

The main repository for the python library of the Xl Sindy framework.

Xl-Sindy stand for Lagrangian based Sparse Identification of Non linear DYnamics. This framework enables the automatic discovery of dynamics of Lagrangian compatible system (mainly robotics and mechanics related).

The documentation of every function of the library can be found on the py-xl-sindy GitHub pages.

Usage

py-xl-sindy is distributed on PyPi under the same name :

python -m pip install py-xl-sindy

However this library needs to be imported using a slightly different name :

import xlsindy

For extensive usage, it is strongly recommended to read the doc and the exemple file provided in this repository.

Batch generation and complete analysis framework can be found in util

Citing this library

The following bibtex can be used to cite the library :

@misc{py-xl-sindy,
  author       = {Eymeric Chauchat},
  title        = {py-xl-sindy: A Python library implementing Lagrangian Sparse Identification of Non linear DYnamics},
  year         = {2024},
  url          = {https://github.com/Eymeric65/py-xl-sindy},
  note         = {Version 1.0.0, released on 2024-11-19},
}

Multiple research work are on-going and can be tracked in research_work

The main article using py-xl-sindy has been used with the version 2.1.0, data reproducibility can only be guaranteed with this version.

Theorical background and DevBlog

The different ressources needed for the creation of this library can be found on the different Report posted on the subject :

Build your own python library

A standard tutorial on "How to make a python library" can be found on my personnal GitHub pages

Project details


Download files

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

Source Distribution

py_xl_sindy-2.2.0.tar.gz (266.7 kB view details)

Uploaded Source

Built Distribution

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

py_xl_sindy-2.2.0-py3-none-any.whl (39.8 kB view details)

Uploaded Python 3

File details

Details for the file py_xl_sindy-2.2.0.tar.gz.

File metadata

  • Download URL: py_xl_sindy-2.2.0.tar.gz
  • Upload date:
  • Size: 266.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for py_xl_sindy-2.2.0.tar.gz
Algorithm Hash digest
SHA256 9ea43f5777720b4cbecb85e28757921710da3dad6fec8c9cca33794bfa436a7c
MD5 524535e97e5b1a6cbe618e84edc5defe
BLAKE2b-256 4e7073115444dc65550598ad6da1abbb3d2fbcb597618f0d32a9ec4ddf90d68d

See more details on using hashes here.

Provenance

The following attestation bundles were made for py_xl_sindy-2.2.0.tar.gz:

Publisher: publish.yml on Eymeric65/py-xl-sindy

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file py_xl_sindy-2.2.0-py3-none-any.whl.

File metadata

  • Download URL: py_xl_sindy-2.2.0-py3-none-any.whl
  • Upload date:
  • Size: 39.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for py_xl_sindy-2.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1818e8f5b1e769a26638d0dff41520e780d2229e55efa44cd00616ad103ede7a
MD5 45b519b9633ecb58afb8c6faad1d4697
BLAKE2b-256 2e19421ff4451cb94fe5610b4a3bf13b2af74eba608ac768167a2c65d7363559

See more details on using hashes here.

Provenance

The following attestation bundles were made for py_xl_sindy-2.2.0-py3-none-any.whl:

Publisher: publish.yml on Eymeric65/py-xl-sindy

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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