Deep_XF VS neural_prophet

What are some alternatives?

modeltime - Modeltime unlocks time series forecast models and machine learning in one framework

darts - A python library for user-friendly forecasting and anomaly detection on time series.

Autoformer - About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

scikit-hts - Hierarchical Time Series Forecasting with a familiar API

wb_gdp_predict - Predicting next year's GDP using ML (Python)

Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

Auto_TS - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

orbit - A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

lockdowndates - Retrieve the dates of the restrictions imposed by governments in countries around the world during the covid-19 pandemic.

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

BrewPOTS - The tutorials for PyPOTS.

sysidentpy - A Python Package For System Identification Using NARMAX Models