kafkaml-anomaly-detection
Project for real-time anomaly detection using Kafka and python (by rodrigo-arenas)
loglizer
A machine learning toolkit for log-based anomaly detection [ISSRE'16] (by logpai)
| kafkaml-anomaly-detection | loglizer | |
|---|---|---|
| 1 | 2 | |
| 48 | 1,228 | |
| - | 1.3% | |
| 0.0 | 0.0 | |
| over 1 year ago | 8 days ago | |
| Python | Jupyter Notebook | |
| MIT License | MIT License |
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.
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.
kafkaml-anomaly-detection
Posts with mentions or reviews of kafkaml-anomaly-detection.
We have used some of these posts to build our list of alternatives
and similar projects.
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Real time anomalies detection using kafka and scikit-learn
Hello everyone, I want to share with you a project I made for real time anomalies detection using kafka in python and scikit-learn, it has the generation of streaming data, the real time predictions and slack alerts, full code here
loglizer
Posts with mentions or reviews of loglizer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-15.
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SOC with machine learning
https://github.com/logpai/loglizer has an MIT license. Seems like they've done some of the heavy lifting already. If you're just looking for logs, check out https://github.com/logpai/loghub.
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how to never ever lose connection to raspberry pi
If you want to really get paranoid, then you can write a monitoring app that uses machine learning to do the log analysis and detect anomalies in your system. There are some open source tools available, like this for example. Also you can train the network for your specific use case and then just have the service running the inference on your logs and a pre-trainer model that is running on system logs. Then you really get in paranoid mode.
What are some alternatives?
When comparing kafkaml-anomaly-detection and loglizer you can also consider the following projects:
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
stumpy - STUMPY is a powerful and scalable Python library for modern time series analysis
Fog - An open source computer cloning & management system
Faust - Python Stream Processing
wazuh-ruleset - Wazuh - Ruleset
pygod - A Python Library for Graph Outlier Detection (Anomaly Detection)
anomaly-detection-resources - Anomaly detection related books, papers, videos, and toolboxes
makinage - Stream Processing Made Easy
luminol - Anomaly Detection and Correlation library
HELK - The Hunting ELK
loghub - A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
kafkaml-anomaly-detection vs pyod
loglizer vs pyod
kafkaml-anomaly-detection vs stumpy
loglizer vs Fog
kafkaml-anomaly-detection vs Faust
loglizer vs wazuh-ruleset
kafkaml-anomaly-detection vs pygod
loglizer vs anomaly-detection-resources
kafkaml-anomaly-detection vs makinage
loglizer vs luminol
loglizer vs HELK
loglizer vs loghub