Likelihood Python Packages

zfit

Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manipulation of probability density functions. Its main focus is on scalability, parallelisation and user friendly experience.

conjugate-prior

Implementation of the conjugate prior table for Bayesian Statistics

pymle-diffusion

Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)

mflike

Multifrequency Likelihood for SO Large Aperture Telescope

skyllh

The SkyLLH framework is an open-source Python3-based package licensed under the GPLv3 license. It provides a modular framework for implementing custom likelihood functions and executing log-likelihood ratio hypothesis tests. The idea is to provide a class structure tied to the mathematical objects of the likelihood functions.

flarefly

FLexible And Reliable Fitting LibrarY for particle physics analysis

pykelihood

package useful for likelihood-based inference

act-dr6-mflike

ACT DR6 multi-frequency likelihood for cobaya

bayesian-listener

Bayesian model for human sound localization with likelihood-based parameter estimation.

beta4dist

A Python Package for the Four-Parameter Beta Distribution and Likelihood-Based Estimation

smokescreen

A library of methods to mitigate experimenter bias in the LSST DESC cosmology analysis

planck-2020-hillipop

A cobaya high-ell likelihood polarized for planck

simplify

Create and validate simplified likelihoods from full likelihoods.

planck-2020-lollipop

A cobaya low-ell likelihood polarized for planck

binopt

Binning optimisation of binary data

simplify-hep

Produce simplified likelihoods of different formats