epimargin

bayesian-methods covid19 india sird-model stochastic-modeling

Score: 10.223394772282646

Last synced: about 1 hour ago
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Repository metadata:

networked, stochastic SIRD epidemiological model with Bayesian parameter estimation and policy scenario comparison tools

Host: GitHub
URL: https://github.com/COVID-IWG/epimargin
Owner: COVID-IWG
License: mit
Created: 2020-04-15T21:07:32.000Z (about 6 years ago)
Default Branch: master
Last Pushed: 2023-07-25T18:10:30.000Z (almost 3 years ago)
Last Synced: 2026-02-19T13:29:55.471Z (4 months ago)
Topics: bayesian-methods, covid19, india, sird-model, stochastic-modeling
Language: Python
Homepage: https://www.adaptivecontrol.org/
Size: 90.6 MB
Stars: 9
Watchers: 1
Forks: 5
Open Issues: 42
Metadata Files:
- Readme: README.md
- License: LICENSE

Owner metadata:

Name: COVID International Working Group
Login: COVID-IWG
Email:
Kind: organization
Description: A coalition of epidemiologists, economists, policymakers, and data scientists focused on tackling the challenges of COVID, globally.
Website:
Location:
Twitter:
Company:
Icon url: https://avatars.githubusercontent.com/u/82750933?v=4
Repositories: 2
Last Synced at: 2023-03-11T08:31:14.560Z
Profile URL: https://github.com/COVID-IWG

GitHub Events

Total

Watch event: 1
Total: 1

Last Year

Total: 0

Committers metadata

Last synced: 4 months ago

Total Commits: 346
Total Committers: 6
Avg Commits per committer: 57.667
Development Distribution Score (DDS): 0.124

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
satej soman	s**n@g**m	303
dependabot[bot]	4****]	16
Caitlin Loftus	c**s@g**m	14
Nicholas Marchio	n**o@g**m	10
Steven Buschbach	s**h@u**u	2
manasip5	6****5	1

Issue and Pull Request metadata

Last synced: 6 months ago

Total issues: 18
Total pull requests: 86
Average time to close issues: 29 days
Average time to close pull requests: 9 days
Total issue authors: 2
Total pull request authors: 5
Average comments per issue: 0.67
Average comments per pull request: 0.07
Merged pull request: 68
Bot issues: 0
Bot pull requests: 30

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/COVID-IWG/epimargin

Top Issue Authors

dilawar (9)
satejsoman (9)

Top Pull Request Authors

satejsoman (51)
dependabot[bot] (30)
ceilingloft (2)
dilawar (2)
stevenbuschbach (1)

Top Issue Labels

Top Pull Request Labels

dependencies (30)

Package metadata

Total packages: 1
Total downloads:
- pypi: 88 last-month
Total dependent packages: 0
Total dependent repositories: 1
Total versions: 8
Total maintainers: 1

pypi.org: epimargin

Toolkit for estimating epidemiological metrics and evaluating public health and economic policies.

Homepage: https://github.com/COVID-IWG/epimargin
Documentation: https://epimargin.readthedocs.io/
Licenses: MIT License
Latest release: 0.6.2 (published almost 5 years ago)
Last Synced: 2026-03-01T15:00:48.084Z (4 months ago)
Versions: 8
Dependent Packages: 0
Dependent Repositories: 1
Downloads: 88 Last month
Rankings:
- Dependent packages count: 10.095%
- Forks count: 14.198%
- Stargazers count: 17.692%
- Average: 19.643%
- Dependent repos count: 21.615%
- Downloads: 34.615%
Maintainers (1)
- satej

Dependencies

requirements.txt pypi

Cython ==0.29.21
Fiona ==1.8.17
Flask ==1.1.2
GDAL ==3.1.3
Jinja2 ==2.11.3
MarkupSafe ==1.1.1
Pillow ==8.3.2
PyYAML ==5.4.1
Pygments ==2.7.4
Shapely ==1.7.0
Theano ==1.0.5
Werkzeug ==1.0.1
appnope ==0.1.0
arviz ==0.9.0
astroid ==2.4.1
attrs ==19.3.0
backcall ==0.1.0
beautifulsoup4 ==4.9.3
bleach ==3.3.0
bump2version ==1.0.1
bumpversion ==0.6.0
certifi ==2020.6.20
cftime ==1.1.3
chardet ==3.0.4
click ==7.1.2
click-plugins ==1.1.1
cligj ==0.5.0
cloudpickle ==1.6.0
colorama ==0.4.3
commonmark ==0.9.1
cycler ==0.10.0
dask ==2021.4.1
decorator ==4.4.2
descartes ==1.1.0
docutils ==0.17.1
fastprogress ==0.2.3
flake8 ==3.8.3
flat-table ==1.1.1
fsspec ==2021.4.0
geopandas ==0.8.1
geos ==0.2.2
h5py ==2.10.0
idna ==2.9
importlib-metadata ==4.5.0
ipython ==7.16.3
ipython-genutils ==0.2.0
isort ==4.3.21
itsdangerous ==1.1.0
jedi ==0.17.0
joblib ==0.14.1
keyring ==23.0.1
kiwisolver ==1.2.0
lazy-object-proxy ==1.4.3
linearmodels ==4.19
locket ==0.2.1
lxml ==4.6.5
mapclassify ==2.4.2
matplotlib ==3.2.1
mccabe ==0.6.1
munch ==2.5.0
mypy ==0.910
mypy-extensions ==0.4.3
netCDF4 ==1.5.3
networkx ==2.5.1
numpy ==1.21.0
packaging ==20.4
pandas ==1.0.3
parso ==0.7.0
partd ==1.2.0
patsy ==0.5.1
pexpect ==4.8.0
pickleshare ==0.7.5
pkginfo ==1.7.0
pprintpp ==0.4.0
prompt-toolkit ==3.0.5
property-cached ==1.6.4
ptyprocess ==0.6.0
pycodestyle ==2.6.0
pyflakes ==2.2.0
pyhdfe ==0.1.0
pylint ==2.5.2
pymc3 ==3.9.3
pyparsing ==2.4.7
pyproj ==2.6.0
pyreadr ==0.4.0
python-dateutil ==2.8.1
pytz ==2019.3
readme-renderer ==29.0
requests ==2.23.0
requests-toolbelt ==0.9.1
rfc3986 ==1.5.0
rich ==2.3.0
rope ==0.17.0
scikit-learn ==0.22.2.post1
scipy ==1.4.1
seaborn ==0.10.0
semver ==2.9.0
six ==1.14.0
sklearn ==0.0
soupsieve ==2.2.1
statsmodels ==0.11.1
tikzplotlib ==0.9.4
toml ==0.10.1
toolz ==0.11.1
tqdm ==4.45.0
traitlets ==4.3.3
twine ==3.4.1
typed-ast ==1.4.1
typing-extensions ==3.7.4.2
urllib3 ==1.26.5
urlpath ==1.1.7
wcwidth ==0.1.9
webencodings ==0.5.1
wrapt ==1.12.1
xarray ==0.15.1
xlrd ==1.2.0
zipp ==3.1.0

setup.py pypi

arviz *
flat-table *
geopandas *
matplotlib *
numpy *
pandas *
pymc3 ==3.11.2
requests *
scikit-learn *
seaborn *
semver ==2.11.0
statsmodels *
tikzplotlib *

.github/workflows/tutorial-ci.yaml actions

actions/checkout v2 composite
actions/setup-python v2 composite

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