{"library":"editdistance","type":"library","category":null,"description":"Editdistance is a Python library providing a fast, C++ and Cython-optimized implementation of the Levenshtein (edit) distance. It efficiently calculates the minimum number of single-character edits (insertions, deletions, or substitutions) required to change one sequence into the other. The library is suitable for applications requiring high-performance string similarity calculations, such as fuzzy matching, data cleaning, and natural language processing. The current version is 0.8.1, but the project's GitHub repository has been archived, indicating it is no longer actively maintained by the owner.","language":"python","status":"abandoned","version":"0.8.1","tags":["edit distance","levenshtein distance","string similarity","algorithm","fuzzy matching","cython","performance"],"last_verified":"Sat May 23","install":[{"cmd":"pip install editdistance","imports":["import editdistance\neditdistance.eval('string1', 'string2')"]}],"homepage":null,"github":"https://github.com/roy-ht/editdistance","docs":"https://github.com/roy-ht/editdistance","changelog":null,"pypi":"https://pypi.org/project/editdistance/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":80,"avg_install_s":1.6,"avg_import_s":0,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/editdistance/compatibility"}}