Scientific Python Library Development Guide and Cookiecutter
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Updated
May 12, 2024 - Python
Scientific Python Library Development Guide and Cookiecutter
Manipulate JSON-like data with NumPy-like idioms.
Python bindings for the C++14 Boost::Histogram library
pure-Python HistFactory implementation with tensors and autodiff
Pages defining the website of the Scikit-HEP project.
Package to deal with particles, the PDG particle data table, PDGIDs, etc.
Package to parse decay files, describe and convert particle decays between digital representations.
Jupyter-friendly Python interface for C++ MINUIT2
Jet-finding in the Scikit-HEP ecosystem.
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.
Statistics tools and utilities.
Metapackage of Scikit-HEP project data analysis packages for Particle Physics.
A common package to provide example files (e.g., ROOT) for testing and developing packages against.
Pretty print histograms to the console
Histogramming for analysis powered by boost-histogram
Lightweight Python interface to read Les Houches Event (LHE) files
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