https://github.com/mantidproject/quasielasticbayes

This package provides a convenient set of Python wrappers for a set of routines used to perform Bayesian analysis on quasi-elastic neutron-scattering data.

https://github.com/mantidproject/quasielasticbayes

Science Score: 13.0%

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
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.5%) to scientific vocabulary

Keywords

bayesian-analysis materials-science neutron-scattering quasi-elastic-neutron-scattering
Last synced: 7 months ago · JSON representation

Repository

This package provides a convenient set of Python wrappers for a set of routines used to perform Bayesian analysis on quasi-elastic neutron-scattering data.

Basic Info
  • Host: GitHub
  • Owner: mantidproject
  • License: bsd-3-clause
  • Language: Fortran
  • Default Branch: main
  • Homepage:
  • Size: 1.56 MB
Statistics
  • Stars: 0
  • Watchers: 14
  • Forks: 1
  • Open Issues: 2
  • Releases: 1
Topics
bayesian-analysis materials-science neutron-scattering quasi-elastic-neutron-scattering
Created over 2 years ago · Last pushed about 1 year ago
Metadata Files
Readme License

README.md

quasielasticbayes

This package provides a convenient set of Python wrappers for a set of routines used to perform Bayesian analysis on quasi-elastic neutron-scattering data. The original Fortran code was written by Dr. Devinder Sivia, with supervision from Dr. Spencer Howells, in the 1980's. The longevity of the package is owed to the efforts of Dr. Spencer Howells, and members of the Mantid Project team.

The package is available on conda-forge and PyPi.

Install the package

To install this package from conda-forge, run

sh conda install -c conda-forge quasielasticbayes

Develop: Building and testing locally

To create and activate the build environment, run

sh mamba env create -f conda_envs/qeb-build-env-[os].yml && conda activate qeb-build-env-[os]

To build and install the package locally, run

sh ./scripts/rebuild.sh

To run the tests on the installed package

sh pytest src/quasielasticbayes/test

Owner

  • Name: Mantid Project
  • Login: mantidproject
  • Kind: organization
  • Email: mantid-help@mantidproject.org

GitHub Events

Total
  • Member event: 4
  • Push event: 1
  • Pull request review comment event: 6
  • Pull request review event: 8
  • Pull request event: 4
  • Fork event: 1
  • Create event: 1
Last Year
  • Member event: 4
  • Push event: 1
  • Pull request review comment event: 6
  • Pull request review event: 8
  • Pull request event: 4
  • Fork event: 1
  • Create event: 1

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 0
  • Total pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: 18 days
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: 18 days
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • Beliavsky (1)
  • robertapplin (1)
  • cailafinn (1)
Pull Request Authors
  • robertapplin (3)
  • jhaigh0 (2)
Top Labels
Issue Labels
bug (2)
Pull Request Labels
enhancement (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 50 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 27
  • Total maintainers: 3
pypi.org: quasielasticbayes

A Bayesian fitting package used for fitting quasi-elastic neutron scattering (QENS) data.

  • Versions: 27
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 50 Last month
Rankings
Dependent packages count: 10.0%
Average: 16.8%
Downloads: 18.6%
Dependent repos count: 21.7%
Last synced: 8 months ago

Dependencies

.github/workflows/build_and_test.yml actions
  • actions/checkout v4 composite
  • conda-incubator/setup-miniconda v3 composite
setup.py pypi