liesel-devs/liesel
A probabilistic programming framework
Liesel helps statisticians, researchers, and data scientists build and analyze advanced statistical models, particularly those involving semi-parametric relationships like Generalized Additive Models (GAMs). You input your data and define the probabilistic relationships and assumptions within your model. The framework then helps you estimate model parameters and evaluate the model's fit, providing outputs like parameter summaries and diagnostic plots.
Available on PyPI.
Use this if you need to build complex statistical models that go beyond standard linear regression, especially if you're working with flexible, non-linear relationships or want to specify your model's probabilistic structure explicitly.
Not ideal if you're looking for a simple, off-the-shelf solution for basic statistical tests or linear regression, as it's designed for more specialized probabilistic modeling.
Stars
45
Forks
3
Language
Python
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Dependencies
15
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