Name | Version | Summary | date |
utilsforecast |
0.1.7 |
Forecasting utilities |
2024-04-22 22:14:59 |
darts |
0.29.0 |
A python library for easy manipulation and forecasting of time series. |
2024-04-17 11:54:50 |
u8darts |
0.29.0 |
A python library for easy manipulation and forecasting of time series. |
2024-04-17 11:54:31 |
coreforecast |
0.0.8 |
Fast implementations of common forecasting routines |
2024-04-10 21:37:52 |
mlforecast |
0.12.1 |
Scalable machine learning based time series forecasting |
2024-04-08 20:51:35 |
statsforecast |
1.7.4 |
Time series forecasting suite using statistical models |
2024-04-08 16:44:36 |
neuralforecast |
1.7.0 |
Time series forecasting suite using deep learning models |
2024-03-27 18:35:35 |
pytimetk |
0.4.0 |
The time series toolkit for Python. |
2024-03-18 16:02:14 |
dr-simulator |
0.3.1 |
Demand Response Simulator enables you to sample DR events based on a distribution and optimize your energy flexible process |
2024-03-14 21:57:11 |
CEEMDAN-LSTM |
1.2 |
CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM. |
2024-03-05 11:46:32 |
tsaugmentation |
0.5.69 |
Robust time series tsaugmentation for forecasting algorithms |
2024-03-04 12:07:23 |
fold-core |
2.0.1 |
A Time Series Cross-Validation library that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour. |
2024-02-29 15:16:07 |
augurs |
0.1.2 |
Python bindings for the augurs time series library. |
2024-02-20 17:00:41 |
pysatSpaceWeather |
0.1.0 |
pysat support for Space Weather Indices |
2024-02-16 22:20:40 |
ConformalImpact |
0.0.3 |
Confrmal Based Impact Analysis. |
2024-02-10 17:55:46 |
MFLES |
0.2.4 |
Gradient boosted time series forecasting. |
2024-02-10 15:15:09 |
luminaire |
0.4.3 |
Luminaire is a python package that provides ML driven solutions for monitoring time series data |
2024-01-31 19:16:12 |
PipelineTS |
0.3.11 |
One-stop time series analysis tool, supporting time series data preprocessing, feature engineering, model training, model evaluation, model prediction, etc. Based on spinesTS and darts. |
2024-01-24 05:53:47 |
SCALECAST |
0.19.8 |
The practitioner's time series forecasting library |
2024-01-23 03:29:53 |
forecasting-models |
0.1 |
Advanced Time Series Forecasting Suite: Leveraging Diverse Models for Predictive Analytics |
2024-01-22 04:34:21 |