loglizer VS HELK

Compare loglizer vs HELK and see what are their differences.

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loglizer HELK
2 10
1,228 3,659
1.5% -
0.0 0.0
12 days ago almost 3 years ago
Jupyter Notebook Jupyter Notebook
MIT License GNU General Public License v3.0 only
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.

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.
  • SOC with machine learning
    4 projects | /r/AskNetsec | 15 Nov 2022
    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.
  • how to never ever lose connection to raspberry pi
    3 projects | /r/embeddedlinux | 17 Apr 2021
    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.

HELK

Posts with mentions or reviews of HELK. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-14.

What are some alternatives?

When comparing loglizer and HELK you can also consider the following projects:

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

pfelk - pfSense/OPNsense + Elastic Stack

Fog - An open source computer cloning & management system

DetectionLab - Automate the creation of a lab environment complete with security tooling and logging best practices

wazuh-ruleset - Wazuh - Ruleset

docker-elk - The Elastic stack (ELK) powered by Docker and Compose.

anomaly-detection-resources - Anomaly detection related books, papers, videos, and toolboxes

RedELK - Red Team's SIEM - tool for Red Teams used for tracking and alarming about Blue Team activities as well as better usability in long term operations.

luminol - Anomaly Detection and Correlation library

praeco - Elasticsearch alerting made simple.

kafkaml-anomaly-detection - Project for real-time anomaly detection using Kafka and python

jupyter2kibana - A Workflow for Data Scientists to bring Jupyter Notebook Visualizations to Kibana Dashboards