{"library":"jenkspy","type":"library","category":null,"description":"Jenkspy is a Python library providing a fast implementation of the Fisher-Jenks algorithm for computing 'natural breaks'. It's designed for 1-dimensional clustering on lists, tuples, arrays, or NumPy ndarrays of integers/floats to determine optimal class boundaries. Widely used in cartography and data analysis, the library is currently at version 0.4.1 and is actively maintained with recent updates.","language":"python","status":"active","version":"0.4.1","tags":["geospatial","data-analysis","clustering","statistics","natural-breaks","fisher-jenks"],"last_verified":"Mon May 25","install":[{"cmd":"pip install jenkspy","imports":["import jenkspy\nbreaks = jenkspy.jenks_breaks(data, n_classes=5)","from jenkspy import JenksNaturalBreaks\nclassifier = JenksNaturalBreaks(n_classes=5)"]}],"homepage":null,"github":"https://github.com/mthh/jenkspy","docs":null,"changelog":"https://github.com/mthh/jenkspy/blob/master/CHANGES.rst","pypi":"https://pypi.org/project/jenkspy/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":3.7,"avg_import_s":0.26,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/jenkspy/compatibility"}}