| MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection | May 24, 2022 | Anomaly DetectionAutoML | CodeCode Available | 5 |
| The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark | Sep 26, 2024 | Anomaly DetectionBenchmarking | CodeCode Available | 3 |
| AER: Auto-Encoder with Regression for Time Series Anomaly Detection | Dec 27, 2022 | Anomaly DetectionBenchmarking | CodeCode Available | 3 |
| TAB: Unified Benchmarking of Time Series Anomaly Detection Methods | Jun 22, 2025 | Anomaly DetectionBenchmarking | CodeCode Available | 2 |
| dtaianomaly: A Python library for time series anomaly detection | Feb 20, 2025 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection | Feb 18, 2025 | Anomaly DetectionInformation Retrieval | CodeCode Available | 2 |
| CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching | Oct 16, 2024 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry | Jun 25, 2024 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| Large language models can be zero-shot anomaly detectors for time series? | May 23, 2024 | Anomaly DetectionLanguage Modeling | CodeCode Available | 2 |
| TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models | Feb 16, 2024 | Anomaly DetectionTime Series | CodeCode Available | 2 |
