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.
1,405 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to automatically monitor large volumes of system logs for unusual activities or potential issues without manual inspection.
Not ideal if you need to analyze logs for security breaches or insider threats, as it focuses on general system anomaly detection.
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MIT
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Last pushed
Apr 24, 2024
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