Chaospy - Toolbox for performing uncertainty quantification.
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Updated
Sep 4, 2025 - Python
Chaospy - Toolbox for performing uncertainty quantification.
OIPD computes the market's expectations about the probable future prices of an asset, based on information contained in options data.
Exploring and eliciting probability distributions
Tools for creating and working with aggregate probability distributions.
A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control. The connection between different manifolds is fixed via an autoregressive structure.
Bayesian Conjugate Models in Python
Conditional Associative Logic Memory
Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning
Python library for Design and Analysis of Experiments
Python library for dealing with uncertainties and upper/lower limits
Variance Gamma distribution (Python): pdf, cdf, rand and fit.
Fit many probability distributions from SciPy to asset returns and rank them.
Generate the Tracy-Widom distribution functions for beta = 1, 2, or 4 in Python
PyCon 2020 Talk on "what probability distributions are"
Longtail transforms RV from the given empirical distribution to the standard normal distribution
stopwordgen automatically builds the stop words for a given dataset.
A pure python implementation of the Landau distribution, easy to install and to use
Compare some continuous probability distributions defined on (-inf, inf)
A python implementation of the skewed student-t distribution
fasterscipydists provides faster scipy.stats distributions
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