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

pykelihood

package useful for likelihood-based inference

mflike

SO LAT multi-frequency likelihood for cobaya

pymle-diffusion

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

planck-2020-hillipop

A cobaya high-ell likelihood polarized for planck 2020 data (NPIPE release)

smokescreen

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

flarefly

FLexible And REliable Fitting LibrarY for particle physics analysis

act-dr6-mflike

A multi-frequency likelihood for ACT DR6

beta4dist

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

simplify

Create and validate simplified likelihoods from full likelihoods.

binopt

Categorisation of labeled data

planck-2020-lollipop

A cobaya low-ell likelihood polarized for planck

simplify-hep

Create and validate simplified likelihoods from full likelihoods.