{"library":"neuralprophet","title":"NeuralProphet","description":"NeuralProphet is a Python framework for interpretable time series forecasting built on PyTorch, combining Prophet's simplicity with neural networks. Current stable beta version is 0.9.0 (Python 3.9-3.12), with a 1.0.0 release candidate series in progress. Active development, monthly releases.","language":"python","status":"active","last_verified":"Mon Apr 27","install":{"commands":["pip install neuralprophet"],"cli":null},"imports":["from neuralprophet import NeuralProphet"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"import pandas as pd\nfrom neuralprophet import NeuralProphet\n\ndf = pd.read_csv('https://raw.githubusercontent.com/ourownstory/neural_prophet/main/example_data/air_passengers.csv')\nm = NeuralProphet()\nm.fit(df, freq='MS')\nfuture = m.make_future_dataframe(df, periods=12)\nforecast = m.predict(future)\nprint(forecast)","lang":"python","description":"Basic forecast with NeuralProphet","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":null}