Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
MIT License
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets w...
Streamlit app to train, evaluate and optimize a Prophet forecasting model.
The practitioner's forecasting library
The runtime library "msrest" for AutoRest generated Python clients.
A statistical library designed to fill the void in Python's time series analysis capabilities, in...
Useful extensions to the standard Python datetime features
Statsmodels: statistical modeling and econometrics in Python
Sentiment Analysis for Stock Prediction
Python library for backtesting trading strategies & analyzing financial markets (formerly pythale...
A Python package for Bayesian forecasting with object-oriented design and probabilistic models un...
A feature-rich Python calendar that enables time series analyses of changes in federal workforce ...
NeuralProphet: A simple forecasting package
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by ...
🥄✨Time-series Benchmark methods that are Simple and Probabilistic