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On the recordRead 12 Oct 202629 facts
anesthetic
anesthetic · founded 2019
On the record
- Bayesian analysis
- Yesanesthetic.readthedocs.io · read 23 Sep 2026
- Bayesian statistics
- It computes Bayesian evidence, Kullback–Leibler divergence, posterior average log-likelihood, and Gaussian model dimensionality from nested samples.anesthetic.readthedocs.io · read 11 Oct 2026
- Citation
- The documentation asks users who generate publication plots with anesthetic to cite a 2019 Journal of Open Source Software paper.anesthetic.readthedocs.io · read 12 Oct 2026
- Customization
- Users can create derived parameters from existing sample columns and plot them.anesthetic.readthedocs.io · read 11 Oct 2026
- Data import formats
- PolyChord, MultiNest, UltraNest, Nested_fit, CosmoMC, Cobaya, GetDist-compatible chains, anesthetic CSV filesanesthetic.readthedocs.io · read 23 Sep 2026
- Data model
- Samples and plotting axes are stored as pandas DataFrames with parameter names as indices.anesthetic.readthedocs.io · read 12 Oct 2026
- Deployment
- desktopanesthetic.readthedocs.io · read 23 Sep 2026
- GUI file formats
- The GUI works out of the box with files following the structures used by PolyChord, MultiNest, or UltraNest.anesthetic.readthedocs.io · read 12 Oct 2026
- Input compatibility
- The GUI works out of the box with file structures from PolyChord, MultiNest, or UltraNest; data can also be supplied manually.anesthetic.readthedocs.io · read 11 Oct 2026
- Install and requirement
- Installation is documented through pip, conda-forge, or the GitHub repository, and the basic requirements include Python 3.9 or later.anesthetic.readthedocs.io · read 11 Oct 2026
- Installation
- The documentation gives pip, conda-forge, and GitHub source installation methods.anesthetic.readthedocs.io · read 12 Oct 2026
- Integrations
- The package uses NumPy, SciPy, Matplotlib, and pandas, and lists fastKDE as a basic dependency.anesthetic.readthedocs.io · read 11 Oct 2026
- Intended data
- It was designed primarily for nested sampling outputs and can also be used with normal MCMC chains.anesthetic.readthedocs.io · read 12 Oct 2026
- Interactive GUI
- The command-line script can open an interactive view of a nested sampling run.anesthetic.readthedocs.io · read 12 Oct 2026
- Libraries
- The documentation lists NumPy, SciPy, Matplotlib, and pandas as standard libraries used for extension and modification.anesthetic.readthedocs.io · read 12 Oct 2026
- License
- The GitHub repository identifies the project license as MIT.github.com · read 11 Oct 2026
- MCMC support
- Although designed primarily for nested sampling outputs, the package can also process ordinary MCMC chains.anesthetic.readthedocs.io · read 11 Oct 2026
- MCMC tools
- For MCMC samples, it tracks parallel chains and provides burn-in removal and a modified Gelman–Rubin convergence statistic.anesthetic.readthedocs.io · read 11 Oct 2026
