| Name | Version | Summary | date |
| tsdb |
0.3.1 |
TSDB (Time Series Data Beans): a Python toolbox helping load open-source time-series datasets |
2024-01-16 01:20:21 |
| ngautonml-forecasting |
0.4.1b1 |
a plugin that installs forecasting tools for ngAutonML |
2024-01-04 16:50:13 |
| ThymeBoost |
0.1.18 |
Gradient boosted time series decomposition for forecasting. |
2024-01-04 02:36:02 |
| scoringrules |
0.4.4 |
Scoring rules for probabilistic forecast evaluation. |
2023-12-22 10:08:28 |
| htsmodels |
0.3.27 |
Forecasting algorithms for hierarchical time series |
2023-12-04 19:54:13 |
| TimeMurmur |
0.1.3 |
Time series forecasting at scale with LightGBM |
2023-12-04 15:52:59 |
| Seance |
0.1.4 |
A Wrapper around MLForecast. |
2023-12-04 02:12:55 |
| ExpSmoothing |
0.1.9 |
Exponential smoothing forecast model |
2023-12-01 23:23:41 |
| PyThief |
0.1.1 |
Python verison of Thief forecasting. |
2023-11-30 19:46:43 |
| forecastingapi |
0.2.0 |
Tools for interacting with Techtonique API |
2023-11-23 10:51:01 |
| hierarchicalforecast |
0.4.1 |
Hierarchical Methods Time series forecasting |
2023-11-21 18:36:16 |
| skforecast |
0.11.0 |
Forecasting time series with scikit-learn regressors. It also works with any regressor compatible with the scikit-learn API (pipelines, CatBoost, LightGBM, XGBoost, Ranger...). |
2023-11-16 21:34:59 |
| htsexperimentation |
0.1.72 |
Hierarchical time series forecasting package to help analyze experiments |
2023-11-16 10:53:11 |
| imbrium |
2.1.0 |
Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series Forecasting. |
2023-10-25 05:36:13 |
| pmdarima |
2.0.4 |
Python's forecast::auto.arima equivalent |
2023-10-23 13:55:11 |
| probabilistic-reconciliation |
0.1.0 |
Probabilistic reconciliation of time series forecasts |
2023-10-21 20:42:47 |
| tablespoon |
0.5.1 |
Simple probabilistic time series benchmark models |
2023-10-20 21:35:41 |
| buildings-bench |
1.1.0 |
Large-scale pretraining and benchmarking for short-term load forecasting. |
2023-10-19 00:54:17 |
| gpforecaster |
0.3.142 |
Hierarchical time series forecasting model using Gaussian Processes |
2023-10-13 14:16:26 |
| nbeats-lightning |
0.1.0 |
A Pytorch Lignthing implementation of N-BEATS. |
2023-10-03 05:08:53 |