{"library":"tensorflow-transform","type":"library","category":null,"description":"TensorFlow Transform (TFT) is a library for preprocessing data with TensorFlow. It allows users to define a preprocessing function that is applied to raw data *before* training, and then export this function as a TensorFlow graph that can be used for *inference*. This ensures consistency between training and serving. It's often used in conjunction with Apache Beam for distributed processing and is a key component of TensorFlow Extended (TFX). The current version is 1.17.0, following TensorFlow's release cadence with frequent updates.","language":"python","status":"active","version":"1.17.0","tags":["tensorflow","preprocessing","ml","data-transformation","apache-beam","tfx"],"last_verified":"Wed May 27","install":[{"cmd":"pip install tensorflow-transform","imports":["import tensorflow_transform as tft","import tensorflow_transform.tf_utils as tf_utils","from tensorflow_transform.beam import impl as beam_impl","from tensorflow_transform.tf_metadata import dataset_metadata"]}],"homepage":"https://www.tensorflow.org/tfx/transform/get_started","github":"https://github.com/tensorflow/transform","docs":null,"changelog":null,"pypi":"https://pypi.org/project/tensorflow-transform/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":20,"avg_install_s":75.6,"avg_import_s":12.3,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/tensorflow-transform/compatibility"}}