openpathsampling

An open source Python framework for transition interface and path sampling calculations.

https://github.com/openpathsampling/openpathsampling

Science Score: 54.0%

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
  • Academic publication links
  • Committers with academic emails
    3 of 16 committers (18.8%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.3%) to scientific vocabulary

Keywords

biomolecular-simulation molecular-dynamics molecular-dynamics-simulation molecular-modeling monte-carlo path-sampling
Last synced: 6 months ago · JSON representation ·

Repository

An open source Python framework for transition interface and path sampling calculations.

Basic Info
  • Host: GitHub
  • Owner: openpathsampling
  • License: mit
  • Language: Python
  • Default Branch: master
  • Homepage: http://openpathsampling.org
  • Size: 268 MB
Statistics
  • Stars: 112
  • Watchers: 12
  • Forks: 49
  • Open Issues: 104
  • Releases: 20
Topics
biomolecular-simulation molecular-dynamics molecular-dynamics-simulation molecular-modeling monte-carlo path-sampling
Created over 12 years ago · Last pushed 9 months ago
Metadata Files
Readme License Citation Support

README.md

Tests codecov

OpenPathSampling

An open source Python framework for transition interface and path sampling calculations.

See documentation here:

http://openpathsampling.org

Owner

  • Name: OpenPathSampling
  • Login: openpathsampling
  • Kind: organization

An open source Python framework for path sampling simulations

Citation (CITATIONS.md)

OpenPathSampling was described in a pair of papers published in JCTC:

1. David W.H. Swenson, Jan-Hendrik Prinz, Frank Noé, John D. Chodera, and
   Peter G. Bolhuis. "OpenPathSampling: A flexible, open framework for path
   sampling simulations. 1. Basics." J. Chem. Theory Comput. **15**, 813
   (2019).
   https://doi.org/10.1021/acs.jctc.8b00626
2. David W.H. Swenson, Jan-Hendrik Prinz, Frank Noé, John D. Chodera, and
   Peter G. Bolhuis. "OpenPathSampling: A flexible, open framework for path
   sampling simulations. 2. Building and Customizing Path Ensembles and
   Sample Schemes." J. Chem. Theory Comput. **15**, 837 (2019).
   https://doi.org/10.1021/acs.jctc.8b00627

Both citations: [openpathsampling.bib](https://raw.githubusercontent.com/openpathsampling/openpathsampling/master/docs/openpathsampling.bib) (citation keys ``ops1`` and ``ops2``).

GitHub Events

Total
  • Issues event: 3
  • Watch event: 7
  • Issue comment event: 26
  • Push event: 8
  • Pull request review comment event: 4
  • Pull request review event: 9
  • Pull request event: 22
  • Fork event: 2
Last Year
  • Issues event: 3
  • Watch event: 7
  • Issue comment event: 26
  • Push event: 8
  • Pull request review comment event: 4
  • Pull request review event: 9
  • Pull request event: 22
  • Fork event: 2

Committers

Last synced: almost 3 years ago

All Time
  • Total Commits: 5,406
  • Total Committers: 16
  • Avg Commits per committer: 337.875
  • Development Distribution Score (DDS): 0.444
Past Year
  • Commits: 16
  • Committers: 2
  • Avg Commits per committer: 8.0
  • Development Distribution Score (DDS): 0.063
Top Committers
Name Email Commits
David W.H. Swenson d****s@h****t 3,005
Jan-Hendrik Prinz j****z@g****e 1,999
Jan-Hendrik Prinz j****z@c****g 183
sroet s****t@h****m 146
hejung h****g@g****m 18
John Chodera (MSKCC) c****j@m****g 13
Bradley Dice b****e@b****m 8
bolhuis p****s@u****l 8
hejung h****g@b****e 7
Andreas Singraber a****r@g****t 6
oliverdutton 4****n@u****m 4
Silveira a****a@h****m 3
Alberto a****o@g****m 2
Jan-Hendrik Prinz j****z@S****x 2
Peter Bolhuis b****s@M****l 1
Peter Bolhuis b****s@w****l 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 39
  • Total pull requests: 107
  • Average time to close issues: 11 months
  • Average time to close pull requests: 2 months
  • Total issue authors: 15
  • Total pull request authors: 5
  • Average comments per issue: 3.21
  • Average comments per pull request: 2.69
  • Merged pull requests: 88
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 3
  • Pull requests: 16
  • Average time to close issues: 1 day
  • Average time to close pull requests: 9 days
  • Issue authors: 3
  • Pull request authors: 1
  • Average comments per issue: 3.0
  • Average comments per pull request: 2.63
  • Merged pull requests: 13
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • dwhswenson (11)
  • sroet (6)
  • gyorgy-hantal (5)
  • bdice (2)
  • Bernadette-Mohr (2)
  • SesswireD (2)
  • smlee99 (2)
  • hejung (2)
  • jjfsteuer (1)
  • gianmarcolazzeri (1)
  • skhabib388 (1)
  • jhprinz (1)
  • samarjeet (1)
  • ShenWenHuibit (1)
  • KeweiZhao (1)
Pull Request Authors
  • dwhswenson (100)
  • sroet (24)
  • bdice (3)
  • hejung (2)
  • Jhp1983 (2)
  • singraber (1)
Top Labels
Issue Labels
2.0 (3) bug report (1) discussion (1) question (1)
Pull Request Labels
misc PR (57) enhancement (21) experimental (15) bugfix (14) upstream changed (9) 2.0 (7) ci (7) docs (6) feature (5) Deprecations (2) refactor (2) API Break (1)

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 3,619 last-month
  • Total dependent packages: 1
    (may contain duplicates)
  • Total dependent repositories: 3
    (may contain duplicates)
  • Total versions: 21
  • Total maintainers: 1
pypi.org: openpathsampling

A Python package for path sampling simulations

  • Versions: 12
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 3,619 Last month
Rankings
Forks count: 5.8%
Dependent packages count: 7.4%
Stargazers count: 7.4%
Average: 13.4%
Dependent repos count: 22.2%
Downloads: 24.1%
Maintainers (1)
Last synced: 6 months ago
conda-forge.org: openpathsampling

OpenPathSampling is a library for trajectory-based rare events simulations, including transition path sampling, transition interface sampling, and committor simulations. Note that for real-world usage, you must also install one of the powerful molecular dynamics engines that OPS interfaces with, such as OpenMM or Gromacs. If you install those seprately, OPS will automatically support your installation of them.

  • Versions: 9
  • Dependent Packages: 1
  • Dependent Repositories: 2
Rankings
Dependent repos count: 20.0%
Forks count: 25.5%
Average: 27.2%
Dependent packages count: 28.9%
Stargazers count: 34.4%
Last synced: 7 months ago

Dependencies

docs/requirements.txt pypi
  • jinja2 *
  • jupyter *
  • matplotlib *
  • nbconvert >=5
  • nbsphinx *
  • netcdf4 *
  • openmm *
  • packaging *
  • pytables *
  • scikit-learn *
  • sphinx *
  • sphinx_rtd_theme *
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setup.py pypi