anomaly-detection-resources VS UGFraud

Compare anomaly-detection-resources vs UGFraud and see what are their differences.

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anomaly-detection-resources UGFraud
98 7
7,887 123
- 1.6%
4.6 1.8
13 days ago about 2 years ago
Python Python
GNU Affero General Public License v3.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

anomaly-detection-resources

Posts with mentions or reviews of anomaly-detection-resources. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-20.

UGFraud

Posts with mentions or reviews of UGFraud. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing anomaly-detection-resources and UGFraud you can also consider the following projects:

anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

ADBench - Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

pygod - A Python Library for Graph Outlier Detection (Anomaly Detection)

DGFraud - A Deep Graph-based Toolbox for Fraud Detection

loglizer - A machine learning toolkit for log-based anomaly detection [ISSRE'16]

SentryPeerHQ - Fraud Detection for VoIP. Use SentryPeer® HQ to help prevent VoIP cyberattacks and fraudulent VoIP phone calls (toll fraud) at https://sentrypeer.com

pycaret - An open-source, low-code machine learning library in Python

pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

sktime - A unified framework for machine learning with time series