{"library":"metaflow-checkpoint","type":"library","category":null,"description":"Metaflow-checkpoint is an experimental extension for Metaflow that provides in-task checkpointing capabilities. It allows users to periodically save the progress of long-running Metaflow steps, such as machine learning model training, ensuring recovery from failures without losing significant work. The library, currently at version 0.2.10, is released as an independent extension to core Metaflow.","language":"python","status":"active","version":"0.2.10","tags":["metaflow","checkpointing","machine learning","fault tolerance","mlops","python"],"install":[{"cmd":"pip install metaflow-checkpoint","imports":["from metaflow_extensions import checkpoint"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/metaflow-checkpoint/","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/metaflow-checkpoint/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}