sktime/skpro
View on GitHubA unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
- Stars
- 335
- Forks
- 206
- Open beginner issues
- 1
- Indexed issues
- 125
- Avg merge
- 1d 20h
- Merged PRs (30d)
- 16
- Dominant language
- Python
- License
- BSD-3-Clause
- Last GitHub push
- Sep 15, 2026
- Latest indexed
- Sep 19, 2026
- Contributing guide
- Contributing guide
- Code of conduct
- Code of conduct
- Beginner labels
- good first issue
-
documentation good first issue
Difficulty 2/5 1-3 hours Newbie friendliness 72/100
-
documentation good first issue module:distributions&simulation
Difficulty 3/5 1-2 days Newbie friendliness 68/100
-
API design module:distribution-fitters
Difficulty 5/5 Over a week Newbie friendliness 25/100
-
feature request
Difficulty 5/5 Over a week Newbie friendliness 42/100
-
feature request module:regression
Difficulty 3/5 1-2 days Newbie friendliness 68/100
-
enhancement module:regression
Difficulty 4/5 3-5 days Newbie friendliness 48/100
-
enhancement feature request implementing algorithms module:distributions&simulation
Difficulty 3/5 1-2 days Newbie friendliness 65/100
-
enhancement feature request interfacing algorithms
Difficulty 4/5 3-5 days Newbie friendliness 35/100
-
enhancement feature request module:base-framework
Difficulty 4/5 3-5 days Newbie friendliness 48/100
-
maintenance
Difficulty 3/5 1-2 days Newbie friendliness 75/100
-
feature request
-
feature request
Difficulty 5/5 Over a week Newbie friendliness 35/100
-
feature request
Difficulty 4/5 3-5 days Newbie friendliness 50/100
-
enhancement good first issue interfacing algorithms module:regression module:survival&time-to-event
Difficulty 3/5 1-2 days Newbie friendliness 65/100
-
enhancement feature request module:regression module:survival&time-to-event
Difficulty 5/5 Over a week Newbie friendliness 35/100
-
enhancement feature request module:regression
-
bug module:distributions&simulation module:regression
-
maintenance
Difficulty 3/5 1-2 days Newbie friendliness 68/100
-
feature request module:regression
Difficulty 5/5 Over a week Newbie friendliness 32/100
-
bug
Difficulty 2/5 1-3 hours Newbie friendliness 64/100
-
documentation
Difficulty 2/5 1-3 hours Newbie friendliness 72/100
-
bug
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
-
enhancement feature request good first issue
Difficulty 5/5 Over a week Newbie friendliness 35/100
-
Difficulty 1/5 1-3 hours Newbie friendliness 55/100
-
feature request module:regression
Difficulty 4/5 3-5 days Newbie friendliness 48/100
-
feature request
Difficulty 2/5 1-3 hours Newbie friendliness 55/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 55/100
-
bug
Difficulty 2/5 1-3 hours Newbie friendliness 55/100
-
bug
Difficulty 3/5 1-2 days Newbie friendliness 48/100
-
bug
Difficulty 2/5 1-3 hours Newbie friendliness 48/100
-
feature request
Difficulty 2/5 1-3 hours Newbie friendliness 58/100
-
[BUG] GeneralizedPareto: false log_pdf exact tag, missing distr:paramtype, insufficient test params Openbug
Difficulty 2/5 1-3 hours Newbie friendliness 52/100
-
bug module:distributions&simulation
Difficulty 3/5 1-2 days Newbie friendliness 57/100
-
bug module:survival&time-to-event
Difficulty 3/5 1-2 days Newbie friendliness 58/100
-
bug
Difficulty 3/5 1-2 days Newbie friendliness 48/100
-
Difficulty 1/5 Under an hour Newbie friendliness 25/100
-
AI overuse suspected bug module:survival&time-to-event
Difficulty 3/5 1-2 days Newbie friendliness 72/100
-
maintenance
Difficulty 2/5 1-3 hours Newbie friendliness 55/100
-
maintenance
Difficulty 1/5 Under an hour Newbie friendliness 72/100
-
bug module:regression
Difficulty 4/5 3-5 days Newbie friendliness 38/100
-
enhancement good first issue module:tests
Difficulty 4/5 3-5 days Newbie friendliness 38/100
-
feature request
Difficulty 3/5 1-2 days Newbie friendliness 35/100
-
bug good first issue module:survival&time-to-event
Difficulty 3/5 1-2 days Newbie friendliness 48/100
-
good first issue module:regression
Difficulty 3/5 1-2 days Newbie friendliness 45/100
-
documentation
Difficulty 1/5 Under an hour Newbie friendliness 70/100
-
[BUG] RuntimeWarning: invalid value encountered in log when evaluating QPD_S.cdf at or below bounds Openbug
Difficulty 2/5 1-3 hours Newbie friendliness 55/100
-
bug
Difficulty 3/5 1-2 days Newbie friendliness 48/100
-
feature request
Difficulty 4/5 3-5 days Newbie friendliness 45/100
-
bug enhancement module:regression
Difficulty 2/5 1-3 hours Newbie friendliness 52/100
-
documentation
Difficulty 1/5 Under an hour Newbie friendliness 55/100