gmdsi_notebooks committers

python-based predictive groundwater modeling workflow examples

Last synced: about 12 hours ago

Total Commits: 315
Total Committers: 12
Total Bot Commits: 0
Total Bot Committers: 0
Avg Commits per committer: 26.25
Development Distribution Score (DDS): 0.689

Commits in the past year: 52
Committers in the past year: 5
Bot Commits in the past year: 0
Bot Committers in the past year: 0
Avg Commits per committer in the past year: 10.4
Development Distribution Score (DDS) in the past year: 0.365

More repo stats: https://repos.ecosyste.ms/hosts/GitHub/repositories/gmdsi/gmdsi_notebooks
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JSON API: https://commits.ecosyste.ms/api/v1/hosts/GitHub/repositories/gmdsi%2Fgmdsi_notebooks

Name	Email	Commits
Mike Fienen	m**n@u**v	98
jwhite	j**0@g**m	81
rhugman	r**n@g**m	70
jdub	J**e@l**l	32
briochh	b**s@.**z	12
jwhite	j**e@j**l	11
rhugman	6****a	4
Katherine Markovich	k**h@i**m	3
edesousa-intera	e**a@i**m	1
Mike Taves	m**s@g**m	1
Brioch Hemmings	b**h@g**m	1
jwhite	j**e@m**l	1

Excludes empty and merge commits.

Name	Email	Commits
jwhite	j**0@g**m	33
jwhite	j**e@j**l	11
rhugman	r**n@g**m	6
kmarkovich	k**h@u**u	1
jwhite	j**e@m**l	1

Committers in the past year are calculated by looking at the last 365 days of commits. Excludes empty and merge commits.

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GitHub / gmdsi/gmdsi_notebooks committers