{"library":"pyspark-hnsw","type":"library","category":null,"description":"pyspark-hnsw is a Python library that provides a distributed implementation of Hierarchical Navigable Small Worlds (HNSW) for Approximate Nearest Neighbor (ANN) search on Apache Spark. It enables efficient vector similarity search on large datasets within a PySpark environment, leveraging Spark's distributed processing capabilities. The current stable version available on PyPI is 1.1.0, with a moderate release cadence, including minor updates in recent months.","language":"python","status":"active","version":"1.1.0","tags":["pyspark","ml","ann","vector-search","hnsw","similarity-search","distributed-computing"],"install":[{"cmd":"pip install pyspark-hnsw","imports":["from pyspark_hnsw import HnswIndex"]}],"homepage":null,"github":"https://github.com/jelmerk/hnswlib","docs":null,"changelog":null,"pypi":"https://pypi.org/project/pyspark-hnsw/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":1.6,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/pyspark-hnsw/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}