{"library":"keybert","type":"library","category":null,"description":"KeyBERT is a minimal and easy-to-use Python library for keyword extraction that leverages state-of-the-art BERT embeddings to identify keywords and keyphrases most similar to a given document. Currently at version 0.9.0, it maintains an active release cadence with frequent updates improving performance, adding new features like LLM integration, and extending model backend support.","language":"python","status":"active","version":"0.9.0","tags":["NLP","keyword extraction","BERT","transformers","machine learning","natural language processing"],"last_verified":"Sat May 23","install":[{"cmd":"pip install keybert","imports":["from keybert import KeyBERT","from keybert import KeyLLM","from keybert.llm import OpenAI"]},{"cmd":"pip install keybert[flair] keybert[gensim] keybert[spacy] keybert[use] keybert[hf]","imports":[]},{"cmd":"pip install keybert --no-deps scikit-learn model2vec","imports":[]}],"homepage":null,"github":"https://github.com/MaartenGr/KeyBERT","docs":"https://maartengr.github.io/KeyBERT/","changelog":null,"pypi":"https://pypi.org/project/keybert/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":27,"avg_install_s":32,"avg_import_s":24.75,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/keybert/compatibility"}}