{"library":"pyflux","title":"PyFlux","description":"PyFlux is a time-series analysis library for Python, offering a wide range of models including ARIMA, GARCH, and state space models. The current version is 0.4.15, but the library is no longer actively maintained and does not support Python 3.9+. It relies on older dependencies like NumPy and pandas.","language":"python","status":"deprecated","last_verified":"Fri May 01","install":{"commands":["pip install pyflux"],"cli":null},"imports":["from pyflux import PyFlux","from pyflux.arma import ARIMA"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"import pandas as pd\nimport numpy as np\nfrom pyflux.arma import ARIMA\n\n# Create sample data\ndates = pd.date_range('2021-01-01', periods=100, freq='D')\ndata = pd.Series(np.random.randn(100), index=dates)\n\n# Fit ARIMA model\nmodel = ARIMA(data=data, ar=1, ma=1, integ=1)\nmodel.fit()\n\n# Forecast\nforecast = model.predict(h=5)\nprint(forecast)","lang":"python","description":"Basic ARIMA model fit and forecast.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":null}