Hello y’all and happy new year !!!
We have just released Nilearn 0.13.0! 
This is a major release with some new features and a LOT of deprecations:
- Support for sklearn set_output to extract data directly to pandas or polar dataframe instead of numpy array
- Support for cluster level inference for surface based analysis
- Add multi-maskers for surface data to consistently extract data from several subjects
- Many deprecation are coming into effect in this release, please check the release notes to see if any of them may affect you.
Update from PyPi:
pip install --upgrade nilearn
Thanks to our new contributors !!!
You can see the full changelog of this release here: What’s new - Nilearn
The full list of pull requests included in this version:
The full “diff” since last version:
Nilearn links:
- Github: GitHub - nilearn/nilearn: Machine learning for NeuroImaging in Python
- Bluesky: @nilearn.bsky.social on Bluesky
- Mastodon: Nilearn (@nilearn@fosstodon.org) - Fosstodon
- Pypi: Client Challenge
- Documentation: https://nilearn.github.io
- Discord: Nilearn
- Zenodo DOI: nilearn
Youtube: https://www.youtube.com/channel/UCU6BMAi2zOhNFnDkbdevmPw