Evaluate the Goodness-of-Fit (GOF) for binned or unbinned data.

Build Likelihoods Using Efficient Interpolations and monte-Carlo generated Events

XENON Framework for Unified Simulations of Events

A tool to perform toyMC-based inference constructions

A python alternative to SRIM

This is the development home of the workflow management system Snakemake. For general information, see

Course over intermediate Python

Jupyter-friendly Python interface for C++ MINUIT2

Extended histogram plotting on top of matplotlib and HEP collaboration compatible styling

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 u…

Code repository for the massively-parallel framework for maximum-likelihood fits, implemented in CUDA/OpenMP

Statistics tools and utilities.

Histogramming for analysis powered by boost-histogram

design and steer profile likelihood fits

Manipulate JSON-like data with NumPy-like idioms.

pure-Python HistFactory implementation with tensors and autodiff

Python bindings for the C++14 Boost::Histogram library

A system for scientific simulation-based inference at scale.

Fast likelihood analysis in more dimensions for xenon TPCs

Generic goodness of fit tests for random plain old data