Skip to main content
DOI link to JOSS article Test status Link to conda-forge page Link to binder example notebook Link Zenodo archive

A tiny package to compute the dynamics of stochastic and molecular simulations.

License:

BSD 3-clause

Author:

Pierre de Buyl

Website:

http://lab.pdebuyl.be/tidynamics/

tidynamics

  • performs the computation of mean-square displacements and correlation functions.

  • accepts as input NumPy arrays storing the positions and velocities of particles.

  • implements the so-called Fast Correlation Algorithm proposed by Kneller and others for the nMOLDYN analysis program.

  • depends only Python and NumPy.

For a quick jump into tidynamics, have a look at the examples.

Goals and plans:

  • Minimal dependencies.

  • Serve as a reference implementation for common algorithms that are useful for molecular and stochastic simulations.

  • Provide later a bit more flexibility to handle cross correlations and many-body systems.

Installation

It is necessary to have Python and NumPy to install and use tidynamics.

tidynamics can be installed with pip:

pip install --user tidynamics

or with conda (via conda-forge):

conda install -c conda-forge tidynamics

It is also possible to download the source code and execute pip locally.

Tests are run with Python 3.7 to 3.11. Python 2 is not supported anymore. If you encounter any issue, let me know (see Contact below).

Citation

When using tidynamics in a publication, please cite the following paper:

Pierre de Buyl (2018), tidynamics: A tiny package to compute the dynamics of stochastic and molecular simulations, The Journal of Open Source Software https://doi.org/10.21105/joss.00877

Testing

We use pytest for testing:

python -m pytest

Installing tidynamics does not install the tests. It is necessary to download tidynamics’ source and to install pytest to run the tests.

Contact, support, and contribution information

To contact the author about tidynamics, you can either write an email to Pierre de Buyl or use the issue tracker of the GitHub project. Existing contributors are listed in the file CONTRIBUTORS.

Bug reports are welcome. If you consider proposing a feature, please keep in mind the goals and plans exposed above.

Release files for tidynamics 1.1.2

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

Source distribution (sdist)

Source distribution for tidynamics 1.1.2
File Size Uploaded
tidynamics-1.1.2.tar.gz 59.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for tidynamics 1.1.2
File Interpreter ABI Platform
tidynamics-1.1.2-py3-none-any.whl Python 3 none any Details

Total release size: 65.8 kB

Release files / tidynamics-1.1.2.tar.gz

Download URL tidynamics-1.1.2.tar.gz
Size 59.3 kB
Tags Source
SHA-256 checksum
How to use checksums
103874edd79dc64a0c7b765f51200926822e74df63703acb6c630a8167dbcfa2
BLAKE2b-256 checksum
How to use checksums
7ff4f513cf9bdf339a15fb8e353ee2001f4e55abbb84f021437e3f8577acd203
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.2

Release files / tidynamics-1.1.2-py3-none-any.whl

Download URL tidynamics-1.1.2-py3-none-any.whl
Size 6.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3edd862271ef136e35129b303153e790914b66644b2641c92a72a7878a16a858
BLAKE2b-256 checksum
How to use checksums
df75ec8466118646fa6523d7703c2deba7c6f7bba3f2bae383234662e76fd73e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.2
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