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JOSS: https://github.com/ornlneutronimaging/braggedgemodeling

Score: -Infinity

Last synced: about 6 hours ago
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GitHub Events

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Last Year

Committers metadata

Last synced: 6 months ago

Total Commits: 182
Total Committers: 3
Avg Commits per committer: 60.667
Development Distribution Score (DDS): 0.082

Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Jiao Lin l****o@o****v 167
JeanBilheux b****m@o****v 12
Song, Gian s****g@o****v 3

Issue and Pull Request metadata

Last synced: 10 months ago

Total issues: 31
Total pull requests: 7
Average time to close issues: about 1 month
Average time to close pull requests: about 4 hours
Total issue authors: 3
Total pull request authors: 1
Average comments per issue: 0.77
Average comments per pull request: 0.71
Merged pull request: 7
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/ornlneutronimaging/braggedgemodeling

Top Issue Authors

  • yxqd (25)
  • mikapfl (4)
  • stuartcampbell (2)

Top Pull Request Authors

  • yxqd (7)

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Top Pull Request Labels


Package metadata

conda-forge.org: braggedgemodeling

braggedgemodeling is a Python package providing data analysis tools for neutron Bragg Edge spectra. Given material lattice structure, it can compute Bragg Edge transmission spectrum as a function of neutron wavelength.

  • Homepage: https://github.com/ornlneutronimaging/braggedgemodeling
  • Licenses: MIT
  • Latest release: 0.1.3 (published over 4 years ago)
  • Last Synced: 2025-12-20T06:14:08.395Z (6 months ago)
  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 34.025%
    • Dependent packages count: 51.175%
    • Average: 51.595%
    • Stargazers count: 60.125%
    • Forks count: 61.053%

Dependencies

setup.py pypi
  • diffpy.structure *
  • matplotlib *
  • numpy *
  • pandas *
  • periodictable *
  • pyyaml *
  • scipy *