This library gives the numpy-based infrastructure functions for image processing with a focus on bioimage informatics. It provides image filtering and morphological processing as well as feature computation (both image-level features such as Haralick texture features and SURF local features). These can be used with other Python-based libraries for machine learning to build a complete analysis pipeline. Mahotas is appropriate for users comfortable with programming or builders of end-user tools. ==== Strengths The major strengths are in speed and quality of documentation. Almost all of the functionality is implemented in for multiple dimensions. It can be used with other Python packages which provide additional functionality. Mahotas and all packages on which it relies are open-source. ==== Considerations A complete environment will require installing multiple packages.