| Name | Version | Summary | date |
| hec-python-library |
0.6.8 |
Python 3 implementation of HEC Java/Jython utility classes |
2025-01-28 19:33:22 |
| hg-systematic |
0.0.4 |
A library and examples to show how HGraph can be used for systematic trading. |
2025-01-28 17:43:35 |
| SITS |
0.5.2 |
Get satellite images time series |
2025-01-27 10:49:43 |
| pyEDM |
2.2.0 |
Python/Pandas toolset for Empirical Dynamic Modeling. |
2025-01-26 19:20:16 |
| hgraph |
0.3.46 |
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. |
2025-01-26 17:12:15 |
| srttools |
0.7.0 |
SRT single dish tools: Tools for the analysis and conversion of SRT data |
2025-01-24 16:16:54 |
| aqua-blue |
0.0.2 |
Lightweight and basic reservoir computing library |
2025-01-23 07:05:32 |
| TSDetective |
0.0.1 |
Investigating TS Foundation Models. |
2025-01-19 22:28:42 |
| ts-data-generator |
0.1.1 |
A Python library for generating synthetic time series data |
2025-01-17 21:26:41 |
| quixstreams |
3.6.1 |
Python library for building stream processing applications with Apache Kafka |
2025-01-17 14:28:46 |
| wildboar |
1.2.1 |
Time series learning with Python. |
2025-01-10 13:12:06 |
| Zeitgleich |
0.0.5 |
Zeitgleich is a time series library for handling data and timestamps with origins. It provides a way to manage time series data, validate formats, and perform operations on time series data while maintaining origin information. |
2025-01-09 09:58:42 |
| time-series-anomaly-detector |
0.3.1 |
Time Series Anomaly Detector |
2025-01-08 16:35:36 |
| cardtale |
0.1.0 |
Data, Model, and Algorithm Cards for Time Series |
2025-01-04 13:40:35 |
| hg_cpp |
0.0.5 |
A C++ performance runtime engine for HGraph |
2025-01-03 07:42:32 |
| stingray |
2.2.5 |
Time Series Methods For Astronomical X-ray Data |
2025-01-02 17:24:43 |
| logicsponge-core |
0.0.15 |
A real-time data processing pipeline |
2025-01-02 10:01:49 |
| tefs |
1.0.0 |
Causal feature selection for time series data using transfer entropy |
2024-12-28 21:25:35 |
| pastastore |
1.8.0 |
Tools for managing Pastas time series models. |
2024-12-24 14:19:56 |
| modelradar |
0.1.0 |
Aspect-based Forecasting Accuracy |
2024-12-21 17:48:47 |