{"categories":[{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/2"}],"enrichment":{"capability":"PyTensor-distributions provides a collection of probability distribution functions (pdf, cdf, ppf, logpdf, etc.) and statistical properties (mean, variance, entropy, etc.) implemented as PyTensor expressions for use in probabilistic computing.","skillfed_tags":["probabilistic-computing","symbolic-math"],"use_cases":["Building probabilistic models in PyMC or other Bayesian inference frameworks that need standardized distribution expressions","Computing probability density, cumulative distribution, and inverse functions for statistical analysis workflows","Implementing custom probabilistic algorithms that require symbolic distribution operations via PyTensor","Reducing code duplication by using a shared, tested library of distribution implementations across multiple projects"],"what_it_does":"PyTensor-distributions is a library of probability distribution functions and statistical properties implemented as PyTensor symbolic expressions. It provides a unified, tested source for core probability operations\u2014pdf, cdf, ppf, logpdf, mean, variance, entropy, and others\u2014designed to reduce redundancy across the PyMC ecosystem and allow other libraries to build specialized APIs on top of these expressions.\n\nThe package takes a minimal, function-based design approach: one file per distribution, no classes, and a focus on simplicity. It depends only on numpy and pytensor, making it lightweight to install. It is currently in active development (alpha status) and welcomes community contributions.","worth_installing":"Yes, if you are working with PyMC or building probabilistic models that benefit from PyTensor's symbolic computation. The low install friction, permissive license, and active maintenance make it a reasonable choice. However, the alpha status means the API and feature coverage may change; verify that the distributions and expressions you need are already implemented before committing to a production dependency."},"id":"pytensor-distributions","links":{"html":"https://skillfed.io/packages/pytensor-distributions","md":"https://skillfed.io/packages/pytensor-distributions.md","pypi":"https://pypi.org/project/pytensor-distributions/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-08","license_spdx":null,"license_treatment":"permissive","name":"pytensor-distributions","python_support":"supports_current","summary":"PyTensor powered distributions."},"popularity":{"monthly_downloads":248129,"position":8675,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.2.0"}