PyUnfold

Spec sheet

Purpose

PyUnfold is a Python package for iterative unfolding, a deconvolution method used to estimate true distributions from measured data.Read 11 Oct 2026 · jrbourbeau.github.io

Intended users

The package is designed for members of scientific disciplines and for first-time users as well as experimental analyses.Read 11 Oct 2026 · jrbourbeau.github.io

Deployment

desktopRead 23 Sep 2026 · jrbourbeau.github.io

Free plan

YesRead 23 Sep 2026 · jrbourbeau.github.io

Integrations

The documented scientific computing dependencies are NumPy, SciPy, pandas, and six; the package can be installed with pip or conda.Read 11 Oct 2026 · jrbourbeau.github.io

Support

The project directs questions, feature proposals, and bug reports to its GitHub issue tracker.Read 11 Oct 2026 · jrbourbeau.github.io

License

The public GitHub repository identifies PyUnfold as MIT licensed.Read 11 Oct 2026 · github.com

Bayesian analysis

YesRead 23 Sep 2026 · jrbourbeau.github.io

Convergence

Users can adjust the test statistic criterion used to compare successive unfolded distributions and determine convergence.Read 11 Oct 2026 · jrbourbeau.github.io

Custom priors

Users can supply custom initial prior distributions.Read 11 Oct 2026 · jrbourbeau.github.io

Examples

The documentation includes notebooks for a basic API tutorial, custom priors, spline regularization, and multivariate unfolding, which can be launched with Binder.Read 11 Oct 2026 · jrbourbeau.github.io

Installation requirement

The installation page lists Python >= 2.7 or >= 3.4 as a dependency requirement.Read 11 Oct 2026 · jrbourbeau.github.io

Method

Its iterative unfolding method uses Bayes’ theorem and provides uncertainty estimates that account for statistical and systematic errors.Read 11 Oct 2026 · jrbourbeau.github.io

Multidimensional analysis

PyUnfold supports multidimensional unfolding.Read 11 Oct 2026 · jrbourbeau.github.io

Regression models

NoRead 23 Sep 2026 · jrbourbeau.github.io

Regularization

Optional regularization uses tunable univariate splines to smooth unfolded distributions.Read 11 Oct 2026 · jrbourbeau.github.io

Release

PyPI lists version 0.5.0, released November 19, 2018, as the latest version.Read 11 Oct 2026 · pypi.org

Research use

The project says PyUnfold has been used for cosmic-ray energy spectrum measurement at HAWC and cosmic-ray composition analysis using IceCube.Read 11 Oct 2026 · jrbourbeau.github.io

Scripting support

YesRead 23 Sep 2026 · jrbourbeau.github.io

Statistical tests

YesRead 23 Sep 2026 · jrbourbeau.github.io

Plans and prices

Every PyUnfold plan and price →

Where Specifiction places it

• Statistical Analysis Software#56 of 1067.7