| Name | Version | Summary | date |
| trading-models |
0.1.3 |
MLP, CNN, Transformer models for time-series trading predictions. |
2025-08-15 09:44:16 |
| data-aug-4-tsc |
0.0.1 |
Data Augmentation for Time series Data: A Review |
2025-08-14 08:31:57 |
| theforecastingcompany |
0.1.3 |
The official Python library for The Forecasting Company API |
2025-08-13 10:39:58 |
| hgraph |
0.4.72 |
A functional reactive platform used to process time-series streams. Provides support for backtest (simulation) and realtime time-series processing. Using a forward propagation graph with a microtask scheduler for the runtime engine. |
2025-08-11 17:48:15 |
| skforecast |
0.17.0 |
Skforecast is a Python library for time series forecasting using machine learning models. It works with any regressor compatible with the scikit-learn API, including popular options like LightGBM, XGBoost, CatBoost, Keras, and many others. |
2025-08-11 14:48:59 |
| novalang |
2.2.1 |
Universal Programming Language with Enhanced Parser and AUTO_MYSQL_BACKEND Support |
2025-08-11 08:47:42 |
| hg-systematic |
0.0.37 |
A library and examples to show how HGraph can be used for systematic trading. |
2025-08-04 09:20:40 |
| wetterdienst |
0.111.0 |
Open weather data for humans |
2025-08-03 15:31:51 |
| mbvlgranger |
0.1.3 |
Multi-Band Variable-Lag Granger Causality: A Unified Framework for Causal Time Series Inference across Frequencies |
2025-07-31 11:44:23 |
| leitmotif |
0.3.2 |
Discovering Leitmotifs in Multidimensional Time Series |
2025-07-30 13:23:20 |
| motiflets |
0.6.4 |
Motiflets - Simple and Accurate Detection of Motifs in Time Series |
2025-07-30 13:22:11 |
| deep-rehab-pile |
0.1.1 |
Deep Learning for Skeleton Based Human Motion Rehabilitation Assessment: A Benchmark |
2025-07-29 03:01:06 |
| skpro |
2.9.2 |
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python |
2025-07-28 16:40:36 |
| time-series-insight-assistant |
0.1.2 |
一个智能的时间序列分析助手，提供自动模型识别、参数估计和可视化诊断功能 |
2025-07-21 12:09:00 |
| garch11-ged |
0.1.0 |
Fast GARCH(1,1) with GED innovations implementation in C++ |
2025-07-18 03:28:44 |
| sktime |
0.38.4 |
A unified framework for machine learning with time series |
2025-07-17 16:24:39 |
| hazyhorizon |
0.1.0 |
Non-paradigmatic support for time series processing and forecasting |
2025-07-14 08:23:00 |
| time-series-model-transfer-function-analyzer |
0.1.2 |
时序模型传递函数分析器 - 自动推导ARIMA模型的传递函数表达式 |
2025-07-13 16:15:36 |
| skchange |
0.11.0 |
Sktime-compatible change and anomaly detection |
2025-02-03 10:08:40 |
| sysidentpy |
0.5.3 |
A Python Package For System Identification Using NARMAX Models |
2025-02-02 19:34:24 |