calebevans/cordon
Reduce logs to their semantic anomalies
This tool helps Site Reliability Engineers, DevOps teams, and system administrators quickly pinpoint critical issues in massive log files. It takes raw log data and intelligently sifts through it to surface only the truly unusual or anomalous patterns, even if those patterns are technically errors that occur frequently. The output highlights specific log entries that stand out semantically from the bulk, helping you focus your troubleshooting.
151 stars.
Use this if you need to cut through the noise of routine log entries to identify rare, significant events or clusters of unusual activity that might indicate a problem.
Not ideal if you primarily need to filter logs based on keywords, specific timestamps, or pre-defined error codes rather than semantic meaning.
Stars
151
Forks
5
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
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