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Scikit-mine : pattern mining in Python

• Descriptive analysis, leading to interpretable, concise descriptions using the Minimum Description Length Principle
• Fast Algorithms
• Simple, extendable API, inspired by scikit-learn

• Free software: BSD license
• GitHub: https://github.com/scikit-mine/scikit-mine
• Documentation: https://scikit-mine.github.io/scikit-mine/

scikit-mine is a Python module for pattern mining built on top of Pandas/Numpy/SciPy and is distributed under the 3-Clause BSD license.

It is currently maintained by a team of volunteers.

See examples in the tutorials; the notebooks are available here.

scikit-mine requires Python>=3.6, and some extra dependencies

• scipy>=1.2.1
• pandas>=1.0.0
• sortedcontainers>=2.1.0
• roaringbitmap==0.7
• joblib>=0.11.1

scikit-learn is not a dependency. However, scikit-mine is contiuously tested for interactions with scikit-learn

This project is funded by the INRIA center in Rennes, Brittany, France.

We welcome new contributors of all experience levels.

• Rémi Adon (https://github.com/remiadon)
• Luis Galárraga (https://github.com/lgalarra)
• Josie Signe (https://github.com/Darlysia)
• Esther Galbrun (https://github.com/nurblageij)