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Releases: mibur1/comet

1.2.2

11 Feb 10:38

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Release Notes

Note: Versions 1.2.0 and 1.2.1 contained an error which made them unable to be installed properly. They have been deleted from PyPI and from the releases.

Version 1.2.2 Updates

multiverse module

  • New return option for multiverse results.
    as_df=True option in get_results() will return a user-friendly DataFrame
  • New plotting function for multiverse results.
    multiverse_plot() will create a multiverse plot which solves many downsides of specification curves, especially for large multiverses. Examples are available in the documentation (e.g.: https://comet-toolbox.readthedocs.io/en/latest/sections/notebooks/example_mv_plot.html)
  • (Very) early functionalities for multiverse integration, still work in progress and undocumented

cifti module

graph module

  • Added a new scaling function minmax_scale() for networks, which allows users to scale the values in connectivity/adjacency matrices

network module

misc


Citing

If you use this version of the toolbox in your own work, please consider citing our paper:

Burkhardt, M., & Gießing, C. (2026). The Comet Toolbox: Improving Robustness in Network Neuroscience
Through Multiverse Analysis. Imaging Neuroscience. https://doi.org/10.1162/IMAG.a.1122

Installation

Installation of the most recent version is also possible through PyPI:

conda create -n comet python==3.13
conda activate comet
pip install "comet-toolbox[gui]"

1.1.0

16 Jan 13:25

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Initial release of the toolbox as published in:

Burkhardt, M., & Gießing, C. (2026). The Comet Toolbox: Improving Robustness in Network Neuroscience
Through Multiverse Analysis. Imaging Neuroscience. https://doi.org/10.1162/IMAG.a.1122

https://direct.mit.edu/imag/article/doi/10.1162/IMAG.a.1122/134876/The-Comet-Toolbox-Improving-Robustness-in-Network

Installation is also possible through PyPI:

conda create -n comet python==3.13
conda activate comet
pip install "comet-toolbox[gui]"