sigllm and LogLLM
These are **complements** that address adjacent but distinct anomaly detection domains—one applies LLMs to time series data while the other applies LLMs to unstructured system logs, allowing them to be used together in a comprehensive monitoring pipeline.
Maintenance
13/25
Adoption
10/25
Maturity
25/25
Community
20/25
Maintenance
6/25
Adoption
10/25
Maturity
16/25
Community
21/25
Stars: 85
Forks: 27
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 181
Forks: 36
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No Package
No Dependents
About sigllm
sintel-dev/sigllm
Using Large Language Models for Time Series Anomaly Detection
About LogLLM
guanwei49/LogLLM
LogLLM: Log-based Anomaly Detection Using Large Language Models (system log anomaly detection)
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