Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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✓Committers with academic emails
1 of 1 committers (100.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.5%) to scientific vocabulary
Keywords
Repository
Distributed Multidisciplinary Design Optimization
Basic Info
Statistics
- Stars: 5
- Watchers: 2
- Forks: 4
- Open Issues: 1
- Releases: 2
Topics
Metadata Files
README.md
DMDO
DMDO is a python implementation for the distributed multidisciplinary design optimization method called nonhierarchical analytical target cascading (NHATC)
For technical and code documentation, please visit DMDO Webpage.
Version 1.3.0
License & copyright
© Ahmed H. Bayoumy
Citation
If you use this code, please cite it as shown below.
pycon
@software{DMDO_AB,
author = {Bayoumy, A.},
title = {DMDO},
year = 2022,
publisher = {Github},
version = {1.3.0},
url = {https://github.com/Ahmed-Bayoumy/DMDO}
}
How to use DMDO package
After installing the DMDO package using the pip command, the functions and classes of DMDO module can be imported directly to the python script as follows:
pycon
from DMDO import *
How to run DMDO from terminal
After installing the libraries listed in the requirements.txt, DMDO/DMDO.py can be called directly from a
terminal window under the src directory. The path of the JSON template, which contains the problem input parameters, should be entered as an input argument to the DMDO.py call.
commandline
python ./src/DMDO/DMDO.py ./tests/test_files/Basic_MDO.yaml
Owner
- Name: Ahmed Bayoumy
- Login: Ahmed-Bayoumy
- Kind: user
- Location: Montreal, QC, Canada
- Company: McGill University
- Repositories: 4
- Profile: https://github.com/Ahmed-Bayoumy
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: Bayoumy
given-names: Ahmed H.
orcid: https://orcid.org/0000-0002-4874-7838
title: "DMDO"
version: 1.3.0
date-released: 2022
GitHub Events
Total
- Issues event: 1
- Watch event: 1
- Fork event: 2
Last Year
- Issues event: 1
- Watch event: 1
- Fork event: 2
Committers
Last synced: almost 3 years ago
All Time
- Total Commits: 39
- Total Committers: 1
- Avg Commits per committer: 39.0
- Development Distribution Score (DDS): 0.0
Top Committers
| Name | Commits | |
|---|---|---|
| Ahmed Bayoumy | a****y@m****a | 39 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 8 months ago
All Time
- Total issues: 1
- Total pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: about 12 hours
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 0.0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- AleDjoya (1)
Pull Request Authors
- Ahmed-Bayoumy (2)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- NOBM ==1.0.1
- OMADS ==1.4.0
- numpy ==1.19.1
- scipy *
- setuptools *
- mypy ===0.910 development
- pytest ==6.2.5 development
- pytest-cov ==2.12.1 development
- NOBM *
- OMADS *
- enum *
- genericpath *
- math *
- matplot *
- numpy *
- pandas *
- actions/checkout v3 composite
- actions/setup-python v3 composite
- actions/checkout v3 composite
- actions/setup-python v3 composite
- actions/checkout v3 composite
- actions/setup-python v3 composite