{"library":"array-record","type":"library","category":null,"description":"ArrayRecord is a high-performance file format derived from Riegeli, designed for machine learning workloads. It achieves new frontiers of I/O efficiency by supporting parallel read, write, and random access by record index. The library is currently at version 0.8.3 and appears to have a regular release cadence.","language":"python","status":"active","version":"0.8.3","tags":["data storage","io","performance","machine learning","record format","riegeli"],"last_verified":"Wed May 20","install":[{"cmd":"pip install array-record","imports":["from array_record.python import array_record_module","from array_record.python import array_record_data_source"]},{"cmd":"pip install array-record[beam]","imports":[]}],"homepage":null,"github":"https://github.com/google/array_record","docs":null,"changelog":null,"pypi":"https://pypi.org/project/array-record/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":63,"avg_install_s":34.9,"avg_import_s":0.01,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/array-record/compatibility"}}