nilearn provides Python tools for machine learning and neuroimaging analysis.
Open source
24 alternativesneuropredict
neuropredict evaluates predictive performance using neuroimaging features.
About neuropredict
neuropredict provides easy and comprehensive assessment of predictive power with support for neuroimaging features. Documentation is published at raamana.github.io/neuropredict, and the code is distributed under an Apache-2.0 license. Listed topics include anatomical MRI, functional connectivity, structural imaging and tractography.
Pricing is not clearly stated.
Key features
- Predicting continuous targets in addition to categorical classes
- Regressing out covariates and confounds within nested cross-validation
- Handling missing data encoded with numpy.NaN without data leakage
- CVResults class for managing classification and regression outputs
- Refreshed API access for workflows
- Command-line options including --print_options from a previous run
- Additional classifiers such as XGBoost and Decision Trees
- Imputation of missing values
Watch out for
- Regression and confound handling require input datasets in pyradigm data structures
neuropredict at a glance
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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