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master](https://codecov.io/gl/alexmascension/scallop/branch/master/graph/badge.svg)](https://codecov.io/gl/alexmascension/scallop/branch/master)\n[![Documentation Status Master](https://readthedocs.org/projects/scallop/badge/?version=latest)](https://scallop.readthedocs.io/en/latest/)\n[![Pypi version](https://img.shields.io/pypi/v/scallop)](https://pypi.org/project/scallop/)\n\n**Dev badges**\n[![pipeline status](https://img.shields.io/gitlab/pipeline/alexmascension/scallop/dev)](https://gitlab.com/alexmascension/scallop/commits/dev)\n[![Coverage report dev](https://codecov.io/gl/alexmascension/scallop/branch/dev/graph/badge.svg)](https://codecov.io/gl/alexmascension/scallop/branch/dev)\n\n\nScallop is a module for the evaluation of single-cell clustering solutions. \nIt allows users to assess the quality of clustering using different\nalgorithms and parameter choices. \n\nScallop provides users with a cell-wise robustness score based on bootstrap experiments, \nand a versatile 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