{"library":"google-cloud-dataproc","type":"library","category":null,"description":"The Google Cloud Dataproc client library for Python provides programmatic access to Google Cloud's fully managed service for Apache Spark and Apache Hadoop. It simplifies running open-source data processing frameworks without the operational overhead of manual cluster provisioning and monitoring. The library is actively maintained with frequent updates, aligning with the rapid development of the underlying Dataproc service.","language":"python","status":"active","version":"5.25.0","tags":["google-cloud","dataproc","big-data","spark","hadoop","etl"],"last_verified":"Tue Jun 09","install":[{"cmd":"pip install google-cloud-dataproc","imports":["from google.cloud.dataproc_v1 import ClusterControllerClient"]}],"homepage":"https://cloud.google.com/dataproc","github":"https://github.com/googleapis/google-cloud-python","docs":null,"changelog":null,"pypi":"https://pypi.org/project/google-cloud-dataproc/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":5.7,"avg_import_s":2.16,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/google-cloud-dataproc/compatibility"}}