anesthetic

Spec sheet

Purpose

anesthetic provides tools for processing nested sampling chains using standard scientific Python libraries.Read 12 Oct 2026 · anesthetic.readthedocs.io

Deployment

desktopRead 23 Sep 2026 · anesthetic.readthedocs.io

Free plan

YesRead 23 Sep 2026 · anesthetic.readthedocs.io

Integrations

The package uses NumPy, SciPy, Matplotlib, and pandas, and lists fastKDE as a basic dependency.Read 11 Oct 2026 · anesthetic.readthedocs.io

Support

The project invites users to open GitHub issues to report bugs or propose features, and welcomes pull requests.Read 12 Oct 2026 · github.com

License

The GitHub repository identifies the project license as MIT.Read 11 Oct 2026 · github.com

Founded

2019Read 19 Oct 2026 · anesthetic.readthedocs.io

Bayesian analysis

YesRead 23 Sep 2026 · anesthetic.readthedocs.io

Bayesian statistics

It computes Bayesian evidence, Kullback–Leibler divergence, posterior average log-likelihood, and Gaussian model dimensionality from nested samples.Read 11 Oct 2026 · anesthetic.readthedocs.io

Citation

The documentation asks users who generate publication plots with anesthetic to cite a 2019 Journal of Open Source Software paper.Read 12 Oct 2026 · anesthetic.readthedocs.io

Customization

Users can create derived parameters from existing sample columns and plot them.Read 11 Oct 2026 · anesthetic.readthedocs.io

Data import formats

PolyChord, MultiNest, UltraNest, Nested_fit, CosmoMC, Cobaya, GetDist-compatible chains, anesthetic CSV filesRead 23 Sep 2026 · anesthetic.readthedocs.io

Data model

Samples and plotting axes are stored as pandas DataFrames with parameter names as indices.Read 12 Oct 2026 · anesthetic.readthedocs.io

GUI file formats

The GUI works out of the box with files following the structures used by PolyChord, MultiNest, or UltraNest.Read 12 Oct 2026 · anesthetic.readthedocs.io

Input compatibility

The GUI works out of the box with file structures from PolyChord, MultiNest, or UltraNest; data can also be supplied manually.Read 11 Oct 2026 · anesthetic.readthedocs.io

Install and requirement

Installation is documented through pip, conda-forge, or the GitHub repository, and the basic requirements include Python 3.9 or later.Read 11 Oct 2026 · anesthetic.readthedocs.io

Installation

The documentation gives pip, conda-forge, and GitHub source installation methods.Read 12 Oct 2026 · anesthetic.readthedocs.io

Intended data

It was designed primarily for nested sampling outputs and can also be used with normal MCMC chains.Read 12 Oct 2026 · anesthetic.readthedocs.io

Interactive GUI

The command-line script can open an interactive view of a nested sampling run.Read 12 Oct 2026 · anesthetic.readthedocs.io

Libraries

The documentation lists NumPy, SciPy, Matplotlib, and pandas as standard libraries used for extension and modification.Read 12 Oct 2026 · anesthetic.readthedocs.io

MCMC support

Although designed primarily for nested sampling outputs, the package can also process ordinary MCMC chains.Read 11 Oct 2026 · anesthetic.readthedocs.io

MCMC tools

For MCMC samples, it tracks parallel chains and provides burn-in removal and a modified Gelman–Rubin convergence statistic.Read 11 Oct 2026 · anesthetic.readthedocs.io

Plot types

Available plotting types include KDE, histograms, and scatter plots.Read 11 Oct 2026 · anesthetic.readthedocs.io

Plots

It supports marginalised one-dimensional and two-dimensional plots.Read 12 Oct 2026 · anesthetic.readthedocs.io

Plotting

It supports marginalised one-dimensional and two-dimensional posterior plots, including triangle plots.Read 11 Oct 2026 · anesthetic.readthedocs.io

Replay

It supports dynamic replaying of nested sampling.Read 12 Oct 2026 · anesthetic.readthedocs.io

Requirements

The listed basic requirements include Python 3.9+, Matplotlib, NumPy, SciPy, pandas, and fastKDE.Read 12 Oct 2026 · anesthetic.readthedocs.io

Scripting support

YesRead 23 Sep 2026 · anesthetic.readthedocs.io

Statistics

It computes Bayesian evidences, Kullback–Leibler divergences, and Bayesian model dimensionalities.Read 12 Oct 2026 · anesthetic.readthedocs.io

Where Specifiction places it

• Statistical Analysis Software#78 of 1067.3