| salesforce/Merlion |
3,179 |
|
0 |
3 |
over 2 years ago |
18 |
June 28, 2022 |
14 |
bsd-3-clause |
Python |
| Merlion: A Machine Learning Framework for Time Series Intelligence |
| timescale/tsbs |
1,134 |
|
0 |
1 |
over 2 years ago |
12 |
March 25, 2021 |
90 |
mit |
Go |
| Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data |
| sintel-dev/Orion |
910 |
|
0 |
1 |
about 2 years ago |
39 |
November 10, 2023 |
37 |
mit |
Python |
| A machine learning library for detecting anomalies in signals. |
| elki-project/elki |
746 |
|
15 |
7 |
over 2 years ago |
3 |
February 15, 2019 |
4 |
agpl-3.0 |
Java |
| ELKI Data Mining Toolkit |
| zezhishao/BasicTS |
352 |
|
0 |
0 |
about 2 years ago |
0 |
|
24 |
apache-2.0 |
Python |
| A Standard and Fair Time Series Forecasting Benchmark and Toolkit. |
| NREL/OpenOA |
163 |
|
0 |
0 |
over 2 years ago |
13 |
January 31, 2025 |
12 |
bsd-3-clause |
Jupyter Notebook |
| This library provides a framework for working with large timeseries data from wind plants, such as SCADA. Its development has been motivated by the WP3 Benchmarking (PRUF) project, which aims to provide a reference implementation for plant-level performance assessment. |
| TimeEval/TimeEval |
151 |
|
0 |
0 |
3 months ago |
17 |
May 12, 2025 |
35 |
mit |
Jupyter Notebook |
| Evaluation Tool for Anomaly Detection Algorithms on Time Series |
| ant-research/EasyTemporalPointProcess |
149 |
|
0 |
0 |
about 2 years ago |
12 |
November 07, 2025 |
2 |
apache-2.0 |
Python |
| EasyTPP: Towards Open Benchmarking Temporal Point Processes |
| TimeEval/TimeEval-algorithms |
94 |
|
0 |
0 |
about 2 years ago |
0 |
|
13 |
|
Python |
| Time series anomaly detection algorithm implementations for TimeEval (Docker-based) |
| time-series-machine-learning/tsml-eval |
20 |
|
0 |
0 |
about 2 years ago |
0 |
|
17 |
bsd-3-clause |
Jupyter Notebook |
| Evaluation tools for time series machine learning algorithms. |
