{"library":"neuralforecast","type":"library","category":null,"description":"NeuralForecast is an active Python library (current version 3.1.7) providing a comprehensive suite of state-of-the-art deep learning models for time series forecasting. It emphasizes performance, usability, and robustness, offering implementations of various architectures from classic RNNs to modern transformers. The library maintains a frequent release cadence, with several patch releases within major versions addressing features, bug fixes, and documentation improvements.","language":"python","status":"active","version":"3.1.7","tags":["time series","forecasting","deep learning","pytorch","machine learning","neural networks"],"install":[{"cmd":"pip install neuralforecast","imports":["from neuralforecast import NeuralForecast","from neuralforecast.models import LSTM","from neuralforecast.utils import AirPassengersDF","from neuralforecast.losses.pytorch import MQLoss","from neuralforecast.auto import AutoNHITS"]},{"cmd":"conda install -c conda-forge neuralforecast","imports":[]}],"homepage":null,"github":"https://github.com/Nixtla/neuralforecast","docs":"https://nixtlaverse.nixtla.io/neuralforecast/","changelog":null,"pypi":"https://pypi.org/project/neuralforecast/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":10,"avg_install_s":84.7,"avg_import_s":21.12,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/neuralforecast/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}