| Name | Version | Summary | date |
| statsforecast |
2.0.0 |
Time series forecasting suite using statistical models |
2024-11-26 23:47:48 |
| runHiC |
0.9.0 |
A easy-to-use Hi-C processing software supporting distributed computation |
2024-11-21 02:25:08 |
| neuralstockprophet |
0.0.3 |
LSTM-ARIMA with attention mechanisms and multiplicative decomposition for sophisticated stock forecasting. |
2024-09-06 08:34:38 |
| forecast_combine |
0.0.6 |
Automation of forecast models testing, combining and predicting |
2024-08-16 14:29:25 |
| Orange3-Timeseries |
0.6.3 |
Orange3 add-on for exploring time series and sequential data. |
2024-03-15 15:16:21 |
| pmdarima |
2.0.4 |
Python's forecast::auto.arima equivalent |
2023-10-23 13:55:11 |
| forecast-ar |
0.0.1 |
Automation of forecast models testing, combining and predicting |
2023-08-10 15:18:31 |
| lazyforecast |
0.0.1 |
LazyForecast is a Python library for performing univariate time series analysis using a lazy forecasting approach. This approach is designed to provide quick and simple forecasting models without requiring extensive configuration or parameter tuning. |
2023-06-27 10:10:26 |
| ts-app |
0.9.1 |
A simple dashboard application for interactively fitting ARIMA models. |
2023-05-03 12:50:25 |