Mahotas is a computer vision and image processing library for Python. It includes many algorithms implemented in C++ for speed while operating in numpy arrays. The library is designed to be easy to use and to integrate well with the scientific Python ecosystem.
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Algorithms are implemented in C++ for high performance.
Designed to be straightforward and easy to integrate with Python's scientific ecosystem.
Operates directly on numpy arrays, making it compatible with a wide range of Python libraries.
Includes a comprehensive set of algorithms for image processing and computer vision tasks.
Extensive documentation available on readthedocs.io, including tutorials and API reference.
Mahotas is released under the MIT license, making it free for both personal and commercial use.
Has an active community of users and contributors. Support and contributions are welcome.
Requires numpy and a C++ compiler. Some features may require additional libraries.
The development of Mahotas is ongoing, with regular updates and new features being added.
Used in a variety of applications, including medical image analysis, bioinformatics, and more.
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