{"library":"flwr","type":"library","category":null,"description":"Flower (flwr) is an open-source framework for building federated learning systems. It enables collaborative training of machine learning models across decentralized datasets without exchanging raw data. Currently at version 1.29.0, Flower maintains a rapid release cadence, often releasing minor versions monthly with new features and improvements.","language":"python","status":"active","version":"1.29.0","tags":["federated learning","machine learning","distributed computing","AI","privacy-preserving AI","deep learning"],"last_verified":"Tue May 26","install":[{"cmd":"pip install flwr","imports":["from flwr.server import start_server","from flwr.client import start_client","from flwr.simulation import start_simulation","from flwr.client import Client","from flwr.client import NumPyClient","from flwr.server.strategy import Strategy","from flwr.server.strategy import FedAvg","from flwr.common import Message"]},{"cmd":"pip install 'flwr[torch]'","imports":[]},{"cmd":"pip install 'flwr[tensorflow]'","imports":[]},{"cmd":"pip install 'flwr[jax]'","imports":[]}],"homepage":"https://flower.ai","github":"https://github.com/flwrlabs/flower","docs":"https://flower.ai","changelog":null,"pypi":"https://pypi.org/project/flwr/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":12,"avg_import_s":3.32,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/flwr/compatibility"}}