MEGaNorm v0.2.0 Released

s.m. kia July 10, 2026

We are pleased to announce the release of MEGaNorm v0.2.0, the latest version of our open-source Python package for normative modeling of magneto/electrophysiological brain data.

MEGaNorm provides an end-to-end framework for building and applying normative models to MEG and EEG data. It is designed to facilitate reproducible analyses, support large-scale neuroimaging studies, and accelerate the development of individualized brain biomarkers for neuroscience and precision psychiatry.

Version 0.2.0 introduces several new features and improvements, including enhanced functionality, improved usability, expanded documentation, and continued efforts to increase the robustness and reproducibility of normative modeling workflows.

MEGaNorm is fully open source and is actively developed by the ML4PNP lab. We welcome feedback, bug reports, and community contributions to help shape future releases.

GitHub release: https://github.com/ML4PNP/MEGaNorm/releases/tag/v0.2.0
GitHub repository: https://github.com/ML4PNP/MEGaNorm
Documentation: https://meganorm.readthedocs.io/

We thank everyone who has contributed to the project through code, testing, feedback, and discussions. We look forward to seeing how the community uses MEGaNorm to advance reproducible and personalized brain research.