{"library":"gluonts","type":"library","category":null,"description":"GluonTS is a Python toolkit for probabilistic time series modeling, providing facilities for loading datasets, defining models, training them, and making predictions. It supports various deep learning backends, with PyTorch being the currently recommended and most actively developed one. The library is actively maintained with frequent minor releases, currently at version 0.16.2.","language":"python","status":"active","version":"0.16.2","tags":["time series","forecasting","deep learning","probabilistic","pytorch","machine learning"],"last_verified":"Thu May 21","install":[{"cmd":"pip install gluonts[torch]","imports":["from gluonts.dataset.common import ListDataset","from gluonts.torch.model.simple_feedforward import SimpleFeedForwardEstimator","from pytorch_lightning import Trainer","from gluonts.evaluation import make_evaluation_predictions","from gluonts.evaluation.backtest import make_evaluation_predictions, backtest_metrics","from gluonts.time_feature.util import freqstr_to_timedelta"]},{"cmd":"pip install gluonts[mxnet]","imports":[]}],"homepage":"https://gluon-ts.mxnet.io","github":"https://github.com/awslabs/gluonts","docs":"https://ts.gluon.ai/stable/","changelog":null,"pypi":"https://pypi.org/project/gluonts/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":25,"avg_install_s":52,"avg_import_s":1.32,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/gluonts/compatibility"}}