{"library":"h3-pyspark","type":"library","category":null,"description":"h3-pyspark provides PySpark bindings for Uber's H3 hierarchical hexagonal geospatial indexing system. It allows for efficient geospatial operations and analysis directly within Spark data pipelines by exposing H3 functions as Spark UDFs and native Spark functions. The library is currently at version 1.2.6 and receives active development and maintenance, with recent releases addressing bug fixes and edge cases.","language":"python","status":"active","version":"1.2.6","tags":["pyspark","h3","geospatial","indexing","spark","gis"],"last_verified":"Sun May 24","install":[{"cmd":"pip install h3-pyspark","imports":["import h3_pyspark","df = df.withColumn('h3_9', h3_pyspark.geo_to_h3('lat', 'lng', 'resolution'))"]},{"cmd":"conda install -c conda-forge h3-pyspark","imports":[]}],"homepage":"https://h3geo.org","github":"https://github.com/kevinschaich/h3-pyspark","docs":null,"changelog":null,"pypi":"https://pypi.org/project/h3-pyspark/","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/h3-pyspark/compatibility"}}