loglizer
A machine learning toolkit for log-based anomaly detection [ISSRE'16] (by logpai)
meta-allwinner-hx
By gitlab-dimtass
loglizer | meta-allwinner-hx | |
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2 | 1 | |
1,228 | - | |
1.5% | - | |
0.0 | - | |
13 days ago | - | |
Jupyter Notebook | ||
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.
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.
meta-allwinner-hx
Posts with mentions or reviews of meta-allwinner-hx.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-17.
-
how to never ever lose connection to raspberry pi
That depends on your application. Personally, for custom things that I do which are not products, I'm using nanopi SBCs. I'm also the maintainer of the yocto BSP layer for those boards. Using yocto I can have a full control on the distro, but it's more difficult workflow compared to use any ready-to-go distro for your SBC.
What are some alternatives?
When comparing loglizer and meta-allwinner-hx you can also consider the following projects:
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Fog - An open source computer cloning & management system
wazuh-ruleset - Wazuh - Ruleset
anomaly-detection-resources - Anomaly detection related books, papers, videos, and toolboxes
luminol - Anomaly Detection and Correlation library
HELK - The Hunting ELK
kafkaml-anomaly-detection - Project for real-time anomaly detection using Kafka and python
loghub - A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
mordor - Re-play Security Events