Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
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Updated
Aug 2, 2025 - Python
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
Probabilistic Programming and Nested sampling in JAX
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)
Nested Sampling post-processing and plotting
Bayesian fitting package
nessai: Nested Sampling with Artificial Intelligence
A straightforward Bayesian data fitting library
Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).
Artificial Neural-Net compression and fitting of synthetic spectral grids.
Error analysis, diagnostic tests and plots for nested sampling calculations.
Bayesian spectral decomposition and model fitting using Nested Sampling
Big Data vs. complex physical models - a scalable nested sampling inference algorithm for many data sets
Apply the Nested Sampling Monte Carlo algorithm to fit exoplanet radial velocity data and estimate the posterior distribution of the model parameters
Version 2.0 of MINESweeper Isochrone fitting code
Pythonic Nested Sampling Development Framework & UltraNest
"Perfect" dynamic and standard nested sampling for spherically symmetric likelihoods and priors.
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