Nilearn
4.1
3

Not Claimed

Nilearn is a Python module for statistical learning on NeuroImaging data that uses scikit-learn for multivariate statistics and can be used for predictive modeling, classification, decoding, or connectivity analysis.
Developer
Nilearn
HQ Location
N/A
Strengths
  • Machine learning

    Advanced machine learning algorithms

  • Open-source

    Free and open-source software

  • Python-based

    Easy integration with Python-based workflows

Weaknesses
  • Limited functionality

    Focused on neuroimaging data analysis

  • Steep learning curve

    Requires advanced knowledge of machine learning and Python

  • Limited community support

    Smaller user community compared to other machine learning libraries

Opportunities
  • Increasing demand for machine learning in neuroimaging research
  • Opportunities for collaboration with other open-source projects
  • Potential for new features and functionality to be added
Threats
  • Competition from other machine learning libraries and software
  • Potential lack of funding for continued development and support
  • Potential lack of adoption by the neuroimaging research community

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http://nilearn.github.io
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Nilearn Plan

Nilearn offers a free open-source version and a paid version with additional features starting at $49/month.
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