A Python package to assess and improve fairness of machine learning models.
Open source
24 alternativesnilearn
nilearn provides Python tools for machine learning and neuroimaging analysis.
About nilearn
Nilearn enables approachable and versatile analyses of brain volumes and surfaces. It provides statistical and machine-learning tools in Python. The easiest way to install it is with pip using python -m pip install nilearn in the proper Python environment.
Pricing is not clearly stated.
Key features
- General linear model (GLM) based analysis
- Multivariate statistics using the scikit-learn Python toolbox
- Predictive modeling, classification, decoding and connectivity analysis
Watch out for
- Plotting and examples require matplotlib
- Some plotting functions require plotly and kaleido
- Running tests requires extra packages such as pytest
nilearn at a glance
- Website
- github.com/nilearn/nilearn
- 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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