mdsuite

A post-processing engine for particle simulations

https://github.com/zincware/mdsuite

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    4 of 15 committers (26.7%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (16.2%) to scientific vocabulary

Keywords

hdf5 molecular-dynamics particle-simulation python tensorflow

Keywords from Contributors

particles interactive packaging network-simulation hacking autograding embedded optim standardization projection
Last synced: 6 months ago · JSON representation ·

Repository

A post-processing engine for particle simulations

Basic Info
Statistics
  • Stars: 45
  • Watchers: 2
  • Forks: 10
  • Open Issues: 70
  • Releases: 2
Topics
hdf5 molecular-dynamics particle-simulation python tensorflow
Created over 5 years ago · Last pushed 6 months ago
Metadata Files
Readme Contributing Funding License Citation

README.md

zincware DOI madewithpython build docs license coverage Maintainability Binder

Introduction

MDSuite is a software designed specifically for the molecular dynamics community to enable fast, reliable, and easy-to-run calculations from simulation data.

If you want to start learning about the code, you can check out the docs here.

Installation

There are several ways to install MDSuite depending on what you would like from it.

One can simply install using

shell pip install mdsuite

If you would like to install it from source then you can clone the repository by running

shell git clone https://github.com/SamTov/MDSuite.git

Once you have cloned the repository, depending on whether you prefer conda or straight pip, you should follow the instructions below.

Installation with pip


shell cd MDSuite pip install .

Installation with conda


shell cd MDSuite conda create -n MDSuite python=3.8 conda activate MDSuite pip install .

Documentation

There is a live version of the documentation hosted here. If you prefer to have a local copy, that can be built using sphinx by following the instructions below.

shell cd MDSuite/docs make html cd build/html firefox index.html

HINT

Check out the MDSuite code through a jupyter notebook for a more user-friendly experience. You can take full advantage of the autocomplete features that are available for the calculators.

autocomplete

Disclaimer

MDSuite as far as is possible is tested against results validated by simulation engines or theoretical models. However, MDSuite or zincware are not liable for incorrect results produced when using the software.

Owner

  • Name: Zincware
  • Login: zincware
  • Kind: organization
  • Email: zincwarecode@gmail.com
  • Location: Germany

Open source software organisation hosting software built for computational physics and chemistry.

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: MDSuite
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Samuel
    family-names: Tovey
    email: tovey.samuel@gmail.com
    affiliation: >-
      Institute for Computational Physics, University of
      Stuttgart
    orcid: 'https://orcid.org/0000-0001-9537-8361'
  - given-names: Fabian
    family-names: Zills
    affiliation: >-
      Institute for Computational Physics, University of
      Stuttgart
    orcid: 'https://orcid.org/0000-0002-6936-4692'
  - given-names: Francisco
    family-names: Torres-Herrador
    affiliation: >-
      Aeronautics and Aerospace department, von Karman
      Institute for Fluid Dynamics, Rhode-St-Genese,
      Belgium. Thermo and Fluid dynamics (FLOW), Vrije
      Universiteit Brussel, Brussels, Belgium. Laboratory
      for Chemical Technology (LCT), Ghent University,
      Ghent, Belgium
    orcid: 'https://orcid.org/0000-0002-3901-3461'
  - given-names: Christoph
    family-names: Lohrmann
    affiliation: >-
      Institute for Computational Physics, University of
      Stuttgart
    orcid: 'https://orcid.org/0000-0002-9011-2975'
identifiers:
  - type: doi
    value: 10.1186/s13321-023-00687-y
    description: >-
      MDSuite: comprehensive post-processing tool for
      particle simulations
license: EPL-2.0

GitHub Events

Total
  • Watch event: 9
  • Delete event: 8
  • Issue comment event: 4
  • Push event: 73
  • Pull request review event: 5
  • Pull request event: 19
  • Fork event: 2
  • Create event: 8
Last Year
  • Watch event: 9
  • Delete event: 8
  • Issue comment event: 4
  • Push event: 73
  • Pull request review event: 5
  • Pull request event: 19
  • Fork event: 2
  • Create event: 8

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 1,355
  • Total Committers: 15
  • Avg Commits per committer: 90.333
  • Development Distribution Score (DDS): 0.515
Past Year
  • Commits: 2
  • Committers: 2
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.5
Top Committers
Name Email Commits
SamTov t****l@g****m 657
PythonFZ f****s@w****e 427
Fran f****e@v****e 130
Christoph Lohrmann c****n@i****e 64
Marco Brueckner m****7@w****e 31
Samuel Tovey s****y@S****x 12
PythonFZ i****a 10
tmerkt t****t@l****e 7
ac133451 p****s@i****e 5
dependabot[bot] 4****] 4
Fran Torres f****e@g****m 3
Psomers3 3****3 2
Fabian Zills 4****z 1
Kai Szuttor k****i@i****e 1
Samuel Tovey s****y@m****e 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 42
  • Total pull requests: 81
  • Average time to close issues: 5 months
  • Average time to close pull requests: about 2 months
  • Total issue authors: 8
  • Total pull request authors: 7
  • Average comments per issue: 2.17
  • Average comments per pull request: 1.56
  • Merged pull requests: 47
  • Bot issues: 0
  • Bot pull requests: 30
Past Year
  • Issues: 0
  • Pull requests: 12
  • Average time to close issues: N/A
  • Average time to close pull requests: 6 days
  • Issue authors: 0
  • Pull request authors: 4
  • Average comments per issue: 0
  • Average comments per pull request: 0.5
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 10
Top Authors
Issue Authors
  • PythonFZ (18)
  • SamTov (13)
  • christophlohrmann (3)
  • okunoyukihiro2 (3)
  • tobiasmerkt (2)
  • hguo28 (1)
  • Fratorhe (1)
  • Z-Rashid (1)
Pull Request Authors
  • dependabot[bot] (31)
  • SamTov (23)
  • PythonFZ (22)
  • christophlohrmann (4)
  • pre-commit-ci[bot] (2)
  • Fratorhe (2)
  • alvarovm (1)
Top Labels
Issue Labels
discussion (5) enhancement (4) performance (3) calculator (3) experiment (2) bug (2) file io (2) p1-high (2) p2-medium (2) p0-urgent (1) coding-day (1) p3-low (1) code-readability (1) good first issue (1) documentation (1)
Pull Request Labels
dependencies (31) rdy2merge (4) discussion (2) python (2) code-readability (1) draft (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 26 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 2
  • Total maintainers: 1
pypi.org: mdsuite

A postprocessing tool for molecular dynamics simulations.

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 26 Last month
Rankings
Dependent packages count: 10.1%
Stargazers count: 11.2%
Forks count: 12.5%
Average: 17.7%
Dependent repos count: 21.5%
Downloads: 32.9%
Maintainers (1)
Last synced: 6 months ago

Dependencies

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  • pandas >=1.0.0
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