{"library":"ngram","type":"library","category":null,"description":"The `ngram` library provides a `set` subclass for efficient fuzzy searching of members based on N-gram string similarity. It extends Python's built-in `set` class and offers static methods to compare string pairs. The N-grams are character-based, not word-based, focusing on string similarity rather than language modeling. The library is actively maintained, with the current version being 4.0.3, and updates are released as needed.","language":"python","status":"active","version":"4.0.3","tags":["nlp","fuzzy-matching","search","n-gram","similarity"],"install":[{"cmd":"pip install ngram","imports":["from ngram import NGram"]}],"homepage":null,"github":"https://github.com/gpoulter/python-ngram","docs":"https://python-ngram.readthedocs.io/en/latest/","changelog":null,"pypi":"https://pypi.org/project/ngram/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":1.5,"avg_import_s":0,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/ngram/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}