{"library":"tensorflow-data-validation","type":"library","category":null,"description":"TensorFlow Data Validation (TFDV) is a library for exploring and validating machine learning data. It computes descriptive statistics, infers a schema, detects anomalies, and supports data drift/skew detection. Current version is 1.17.0 (requires Python 3.9+), with releases following TensorFlow's cadence.","language":"python","status":"active","version":"1.17.0","tags":["data-validation","tensorflow","ml-pipeline","schema-inference","anomaly-detection"],"last_verified":"Mon Apr 27","install":[{"cmd":"pip install tensorflow-data-validation","imports":["import tensorflow_data_validation as tfdv","from tensorflow_data_validation.utils.stats_options import StatsOptions"]}],"homepage":"https://www.tensorflow.org/tfx/data_validation/get_started","github":"https://github.com/tensorflow/data-validation","docs":null,"changelog":null,"pypi":"https://pypi.org/project/tensorflow-data-validation/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}