{"library":"pytorch-forecasting","type":"library","category":null,"description":"PyTorch Forecasting is a highly scalable open-source library for state-of-the-art time series forecasting with PyTorch. It provides common data structures like TimeSeriesDataSet, various forecasting models (e.g., TFT, DeepAR, N-BEATS), normalizers, and metrics, all integrated with PyTorch Lightning for efficient training. The current version is 1.7.0, with regular updates aligning with PyTorch and PyTorch Lightning developments. It requires Python versions >=3.10 and <3.15.","language":"python","status":"active","version":"1.7.0","tags":["pytorch","timeseries","forecasting","deep-learning","machine-learning"],"install":[{"cmd":"pip install pytorch-forecasting","imports":["from pytorch_forecasting.data import TimeSeriesDataSet","from pytorch_forecasting.models import TemporalFusionTransformer","from pytorch_forecasting.models import DeepAR","from pytorch_forecasting.data import GroupNormalizer","from pytorch_lightning.trainer import Trainer"]}],"homepage":"https://pytorch-forecasting.readthedocs.io","github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/pytorch-forecasting/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":83,"avg_import_s":18.57,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/pytorch-forecasting/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}