{"library":"tensorflow-metadata","type":"library","category":null,"description":"TensorFlow Metadata (TFMD) provides standard representations for metadata that are useful when training machine learning models with TensorFlow. This includes formats for describing tabular data schemas (e.g., `tf.Examples`), collections of summary statistics over datasets, and problem statements. It is a foundational library used by other TensorFlow Extended (TFX) components like TensorFlow Data Validation (TFDV) and ML Metadata (MLMD). The library is actively maintained, with version 1.17.3 being the current release.","language":"python","status":"active","version":"1.17.3","tags":["tensorflow","metadata","mlops","schema","statistics","protobuf","tfx"],"last_verified":"Thu May 21","install":[{"cmd":"pip install tensorflow-metadata","imports":["from tf_metadata.proto.v0 import schema_pb2","from tf_metadata.proto.v0 import statistics_pb2","from ml_metadata.metadata_store import metadata_store_pb2"]}],"homepage":null,"github":"https://github.com/tensorflow/metadata","docs":null,"changelog":null,"pypi":"https://pypi.org/project/tensorflow-metadata/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":2.1,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/tensorflow-metadata/compatibility"}}