https://github.com/digital-chemistry-laboratory/polanyi

Transition state optimization with force fields in Python.

https://github.com/digital-chemistry-laboratory/polanyi

Science Score: 26.0%

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

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic links in README
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (0.6%) to scientific vocabulary
Last synced: 4 months ago · JSON representation

Repository

Transition state optimization with force fields in Python.

Basic Info
  • Host: GitHub
  • Owner: digital-chemistry-laboratory
  • Language: Python
  • Default Branch: main
  • Size: 76.2 KB
Statistics
  • Stars: 10
  • Watchers: 3
  • Forks: 4
  • Open Issues: 0
  • Releases: 1
Created over 4 years ago · Last pushed 5 months ago

Owner

  • Name: Digital Chemistry Laboratory
  • Login: digital-chemistry-laboratory
  • Kind: organization
  • Location: Switzerland

The Digital Chemistry Laboratory at ETH Zurich

GitHub Events

Total
  • Release event: 1
  • Watch event: 1
  • Delete event: 1
  • Member event: 1
  • Push event: 4
  • Fork event: 3
  • Create event: 3
Last Year
  • Release event: 1
  • Watch event: 1
  • Delete event: 1
  • Member event: 1
  • Push event: 4
  • Fork event: 3
  • Create event: 3

Dependencies

requirements-dev.txt pypi
  • black * development
  • darglint * development
  • flake8 * development
  • flake8-annotations * development
  • flake8-black * development
  • flake8-bugbear * development
  • flake8-docstrings * development
  • flake8-import-order * development
  • isort * development
  • mypy * development
  • nox * development
  • pip * development
  • pytest * development
  • pytest-cov * development
requirements.txt pypi
  • numpy *
  • scipy *
setup.py pypi
  • numpy *
environment.yml pypi
pyproject.toml pypi