{"library":"pyorc","type":"library","category":null,"description":"PyORC is a Python module designed for efficiently reading and writing data in the Apache ORC (Optimized Row Columnar) file format. It provides high-performance access to ORC files, commonly used in big data ecosystems like Apache Hive, Spark, and Flink. The current version is 0.11.0, and the library maintains an active development schedule with several releases per year.","language":"python","status":"active","version":"0.11.0","tags":["orc","apache","data-format","big-data","columnar"],"install":[{"cmd":"pip install pyorc","imports":["from pyorc import Reader","from pyorc import Writer","from pyorc import TypeDescription","from pyorc import TypeKind"]},{"cmd":"pip install 'pyorc[dataframe]'","imports":[]}],"homepage":null,"github":"https://github.com/noirello/pyorc","docs":"https://pyorc.readthedocs.io","changelog":"https://github.com/noirello/pyorc/blob/master/CHANGELOG.rst","pypi":"https://pypi.org/project/pyorc/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":80,"avg_install_s":1.7,"avg_import_s":0.05,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/pyorc/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}