Nilearn (http://nilearn.github.io) is an open-source Python library designed for fast and easy statistical learning analysis of neuroimaging data. Tailored specifically for neuroimaging researchers, Nilearn facilitates the application of machine learning and statistical models to MRI (Magnetic Resonance Imaging) data, enabling tasks such as decoding, connectivity analysis, and predictive modeling. Its simple-to-use interface integrates well with the larger scientific Python ecosystem, making it accessible for users with varying levels of programming expertise. Nilearn emphasizes adherence to best practices in data processing and analysis, ensuring robust and reproducible results, which are crucial in neuroimaging studies.