loglizer and log-anomaly-detector
Maintenance
0/25
Adoption
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Maturity
25/25
Community
25/25
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
25/25
Stars: 1,405
Forks: 438
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Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 348
Forks: 139
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: GPL-3.0
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About loglizer
logpai/loglizer
A machine learning toolkit for log-based anomaly detection [ISSRE'16]
This toolkit helps operations engineers, site reliability engineers, and system administrators automatically detect unusual behavior in system logs. It takes raw, unstructured log files generated by software systems and processes them into a structured format to identify patterns that indicate anomalies. The output is a detection of these anomalies, helping users quickly pinpoint potential system problems or failures.
system-monitoring
IT-operations
site-reliability-engineering
fault-diagnosis
log-analysis
About log-anomaly-detector
AICoE/log-anomaly-detector
Log Anomaly Detection - Machine learning to detect abnormal events logs
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