| Name | Version | Summary | date |
| wetterdienst |
0.99.0 |
Open weather data for humans |
2024-12-30 22:38:53 |
| augurs |
0.8.0 |
Python bindings for the augurs time series library. |
2024-12-23 11:11:33 |
| ptfa |
0.2.11 |
Probabilistic Targeted Factor Analysis |
2024-12-13 18:16:00 |
| skchange |
0.10.0 |
Sktime-compatible change and anomaly detection |
2024-12-13 08:03:29 |
| hgraph |
0.3.38 |
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. |
2024-12-11 14:55:40 |
| horaedb-client |
2.0.0 |
Python client for Apache HoraeDB(incubating), a high-performance, distributed, cloud native time-series database. |
2024-12-10 02:30:06 |
| sktime |
0.35.0 |
A unified framework for machine learning with time series |
2024-12-09 16:14:48 |
| kitikiplot |
0.1.2 |
A Python library for visualizing sequential and time-series categorical Sliding Window data. |
2024-12-07 09:36:56 |
| dtaianomaly |
0.2.3 |
A simple-to-use Python package for time series anomaly detection! |
2024-12-02 16:55:38 |
| aeon |
1.0.0 |
A toolkit for machine learning from time series |
2024-11-28 17:25:52 |
| tsgettoolbox |
25.1.12 |
Will get time series from different sources on the internet |
2024-11-25 06:48:08 |
| claspy |
0.2.5 |
None |
2024-11-22 15:43:43 |
| skpro |
2.8.0 |
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python |
2024-11-17 17:15:55 |
| coreforecast |
0.0.15 |
Fast implementations of common forecasting routines |
2024-11-15 20:47:56 |
| sam |
4.0.0 |
Time series anomaly detection and forecasting |
2024-11-14 13:51:49 |
| tsml |
0.5.0 |
A development sandbox for time series machine learning algorithms. |
2024-11-13 11:23:30 |
| skforecast |
0.14.0 |
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. |
2024-11-11 13:34:49 |
| hg-systematic |
0.0.3 |
A library and examples to show how HGraph can be used for systematic trading. |
2024-11-07 18:23:05 |
| multi-comp-matrix |
0.0.2 |
Multi Comparison Matrix: A long term approach to benchmark evaluations |
2024-11-04 17:02:29 |
| elasticsearch-curator |
8.0.17 |
Tending your Elasticsearch indices and snapshots |
2024-10-26 00:43:24 |