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sktime

sktime/skpro

PythonBSD-3-Clauseactivebeginner-friendly
82Health

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

Stars330
Forks197
Open Issues252
Contributors197
Last Push0d ago

Health Breakdown

Activity
25
Community
25
Maintenance
7
Popularity
25
#ai#data-science#distributional-regression#distributions#failure-prediction#framework#hacktoberfest#machine-learning#prediction#probability-distributions#python#regression#sklearn#sktime#survival-analysis#survival-models#survival-prediction#time-to-event
View on GitHub ↗Issues (252) ↗Pull Requests ↗Wiki ↗

Should you contribute to sktime/skpro?

sktime/skpro has a FoundDev health score of 82/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.

Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.

Licensed under BSD-3-Clause, a standard OSI-approved license — safe to contribute to under normal employer IP policies.

Community

sktime
sktime/skpro
PythonBSD 3
82

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

activebeginner-friendly
330197 contributors252 issues
0d ago

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