| Name | Version | Summary | date |
| qc2plus |
1.0.4 |
Data Quality Automation Framework with ML-powered anomaly detection |
2025-10-30 17:34:37 |
| device-fingerprinting-pro |
2.1.3 |
Production-ready hardware device fingerprinting with post-quantum cryptography and ML-based anomaly detection |
2025-10-26 07:40:22 |
| qml-hcs |
0.1.0 |
Quantum Machine Learning with hypercausal feedback for non-stationary environments. |
2025-10-26 01:39:27 |
| sigllm |
0.1.0 |
LLMs for unsupervised time series anomaly detection |
2025-10-06 18:45:00 |
| cce |
0.2.3 |
Confidence-Consistency Evaluation for Time Series Anomaly Detection |
2025-09-17 09:22:50 |
| sentinelmft |
0.1.4 |
AI-powered secure managed file transfer (GCS + AES-256-GCM + anomaly detection) |
2025-09-14 20:13:38 |
| anomavision |
3.0.12 |
Advanced Anomaly Detection Environment - Deep learning library for state-of-the-art anomaly detection algorithms |
2025-09-12 21:05:30 |
| skchange |
0.14.3 |
Sktime-compatible change and anomaly detection |
2025-09-07 19:07:15 |
| sam |
5.1.0 |
Time series anomaly detection and forecasting |
2025-09-03 08:26:23 |
| cleanengine |
0.1.2 |
The Ultimate Data Cleaning & Analysis Toolkit |
2025-08-24 13:20:31 |
| litewave-ml-models-yield-data-analysis |
0.0.11 |
Multivariate analytics pipeline for pharmaceutical manufacturing yield optimization |
2025-08-15 02:26:42 |
| agomax |
0.2.1 |
Drone anomaly detection with ensemble models and YAML rules |
2025-08-14 12:38:14 |
| pt-loop |
0.1.0 |
Local Outlier Probabilities (LoOP) implementation in PyTorch |
2025-08-01 18:48:10 |
| jrcf |
0.5.0 |
AWS's Java Random Cut Forest |
2025-07-17 00:48:47 |
| lawkit-python |
2.5.15 |
Python wrapper for lawkit - Statistical law analysis toolkit for fraud detection and data quality assessment |
2025-07-16 16:47:28 |
| dtaianomaly |
0.3.0 |
A simple-to-use Python package for time series anomaly detection! |
2025-01-31 09:18:16 |
| bhad |
0.2.6 |
Bayesian Histogram-based Anomaly Detection |
2025-01-26 00:33:00 |