{"library":"tensorflow-serving-api","type":"library","category":null,"description":"The `tensorflow-serving-api` library provides the Python client API for interacting with TensorFlow Serving, a flexible, high-performance serving system for machine learning models. Designed for production environments, TensorFlow Serving facilitates model deployment, versioning, and management, exposing both gRPC and HTTP/REST inference endpoints. The Python API primarily focuses on client-side gRPC communication. The current version is 2.19.1, and its releases typically align with the main TensorFlow project's release cadence.","language":"python","status":"active","version":"2.19.1","tags":["tensorflow","serving","machine-learning","grpc","rest-api","model-deployment","client","ai-inference"],"last_verified":"Wed May 20","install":[{"cmd":"pip install tensorflow-serving-api","imports":["import grpc","from tensorflow_serving.apis import prediction_service_pb2_grpc","from tensorflow_serving.apis import predict_pb2","from tensorflow_serving.apis import get_model_status_pb2","from tensorflow_serving.apis import model_service_pb2_grpc","from tensorflow.core.framework import tensor_pb2"]}],"homepage":"http://tensorflow.org/serving","github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/tensorflow-serving-api/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":25,"avg_install_s":32.1,"avg_import_s":0.26,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/tensorflow-serving-api/compatibility"}}