{"library":"pydruid","type":"library","category":null,"description":"PyDruid is a Python connector for Apache Druid, providing a simple API to create, execute, and analyze Druid queries. It can parse query results into Pandas DataFrame objects for seamless integration with the SciPy stack. The library offers both synchronous and asynchronous clients, implements the Python DB API 2.0, and includes a SQLAlchemy dialect. The current version is 0.6.9, and it maintains an active development and release cadence.","language":"python","status":"active","version":"0.6.9","tags":["database","druid","connector","sql","olap","data-analytics"],"install":[{"cmd":"pip install pydruid","imports":["from pydruid.client import PyDruid","from pydruid.db import connect","from pydruid.utils.aggregators import doublesum","from pydruid.utils.filters import Filter"]},{"cmd":"pip install pydruid[async,pandas,sqlalchemy,cli]","imports":[]}],"homepage":"https://druid.apache.org","github":"https://github.com/druid-io/pydruid","docs":"https://pythonhosted.org/pydruid/","changelog":null,"pypi":"https://pypi.org/project/pydruid/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":7.5,"avg_import_s":0.01,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/pydruid/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}