sktime/skpro
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
This tool helps data scientists and analysts build models that predict not just a single value, but an entire range of possible outcomes or even the likelihood of an event occurring over time. You provide your existing tabular data, and it outputs predictions that include confidence intervals, quantiles, or full probability distributions. This allows you to understand the uncertainty in your forecasts, which is crucial for decision-making.
314 stars. Used by 1 other package. Available on PyPI.
Use this if you need to understand the range of possible outcomes and the level of confidence in your predictions for tabular data, rather than just a single point estimate.
Not ideal if you only require simple, single-point predictions without any need to quantify uncertainty or predict event probabilities over time.
Stars
314
Forks
159
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Dependencies
6
Reverse dependents
1
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