Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development

Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development - Published in JOSS (2024)
https://github.com/cement-psaap/mcdc

Keywords

high-performance-computing monte-carlo-simulation neutron-transport neutronics nuclear-engineering parallel particle-transport python radiation-transport simulation

Last synced: 2 months ago
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Repository metadata

MC/DC: Monte Carlo Dynamic Code


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Committers metadata

Last synced: 2 months ago

Total Commits: 1,027
Total Committers: 28
Avg Commits per committer: 36.679
Development Distribution Score (DDS): 0.724

Commits in past year: 159
Committers in past year: 7
Avg Commits per committer in past year: 22.714
Development Distribution Score (DDS) in past year: 0.472

Name Email Commits
Ilham Variansyah v****i@o****u 283
ilhamv v****m@g****m 188
Joanna Piper Morgan (jonsey) j****8@g****m 126
Braxton Cuneo b****o@g****m 115
Sam Pasmann s****n@n****u 103
shac170 c****4@n****u 60
Kayla Clements c****y@o****u 30
alexandermote m****a@o****u 29
Jordan Northrop 6****j 24
Ethan Lame e****4@g****m 15
Charles Goodman c****a@n****u 13
Jackson P. Morgan (XPS) m****k@o****u 6
Braxton Cuneo b****x@p****n 5
Jackson Morgan j****n@p****n 5
Caleb Shaw c****w@C****l 4
jpm j****s@j****n 4
Charles Edward Goodman c****a@q****v 3
RohanPankaj r****1@g****m 3
Lham Variansyah Juanda j****1@q****v 2
Aaron James Reynolds r****a@l****v 1
Aaron James Reynolds r****a@q****v 1
Caleb A Shaw s****0@q****v 1
Caleb A. Shaw s****0@q****v 1
Charles Edward Goodman c****a@q****v 1
Charles Edward Goodman c****a@q****v 1
Charles Edward Goodman c****a@q****v 1
Lham Variansyah Juanda j****1@q****v 1
Kyle Niemeyer k****r@f****m 1

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Issue and Pull Request metadata

Last synced: 3 months ago

Total issues: 92
Total pull requests: 192
Average time to close issues: 2 months
Average time to close pull requests: 8 days
Total issue authors: 14
Total pull request authors: 14
Average comments per issue: 0.76
Average comments per pull request: 1.13
Merged pull request: 141
Bot issues: 0
Bot pull requests: 0

Past year issues: 50
Past year pull requests: 112
Past year average time to close issues: 18 days
Past year average time to close pull requests: 9 days
Past year issue authors: 8
Past year pull request authors: 10
Past year average comments per issue: 0.42
Past year average comments per pull request: 1.07
Past year merged pull request: 80
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/cement-psaap/mcdc

Top Issue Authors

  • jpmorgan98 (25)
  • ilhamv (23)
  • clemekay (20)
  • northroj (4)
  • MicahGale (3)
  • lewisfish (3)
  • melekderman (3)
  • spasmann (3)
  • alexandermote (1)
  • jburz2001 (1)
  • yardasol (1)
  • shac170 (1)
  • goodman17c (1)
  • braxtoncuneo (1)

Top Pull Request Authors

  • ilhamv (76)
  • jpmorgan98 (40)
  • clemekay (21)
  • shac170 (10)
  • braxtoncuneo (10)
  • alexandermote (9)
  • ethan-lame (8)
  • spasmann (8)
  • northroj (4)
  • melekderman (2)
  • kyleniemeyer (1)
  • murrayaidanj (1)
  • RohanPankaj (1)
  • jburz2001 (1)

Top Issue Labels

  • bug (13)
  • Final stretch (12)
  • documentation (8)
  • enhancement (8)
  • hpc (5)
  • gpu (4)
  • numba (3)
  • invalid (2)
  • good first issue (2)
  • Dissertation (2)
  • visualizer (1)
  • help wanted (1)
  • install (1)
  • question (1)

Top Pull Request Labels

  • enhancement (16)
  • bug (5)
  • documentation (5)
  • visualizer (2)
  • install (2)
  • Final stretch (1)
  • Dissertation (1)

Package metadata

pypi.org: mcdc

MC/DC (Monte Carlo Dynamic Code): a performant, scalable, and machine-portable Python-based Monte Carlo neutron transport package

  • Homepage: https://cement-psaap.github.io/
  • Documentation: https://mcdc.readthedocs.io/en/latest/
  • Licenses: BSD 3-Clause License Copyright (c) 2021, CEMeNT All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
  • Latest release: 0.12.0 (published 9 months ago)
  • Last Synced: 2025-10-26T00:11:40.421Z (2 months ago)
  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 48 Last month
  • Rankings:
    • Dependent packages count: 9.993%
    • Average: 37.975%
    • Dependent repos count: 65.958%
  • Maintainers (3)

Dependencies

.github/workflows/black.yml actions
  • actions/checkout v2 composite
  • psf/black stable composite
.github/workflows/tests.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v3 composite
setup.py pypi

Score: 11.87915065974079