logparser
tojson
| logparser | tojson | |
|---|---|---|
| 2 | 2 | |
| 1,433 | 5 | |
| 1.7% | - | |
| 7.5 | 0.0 | |
| 3 months ago | about 3 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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logparser
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Log2row: A tool that detects, extracts templates, and structures logs
You use GPT-4 to extract log patterns, does it really need LLM? There are more traditional approach such as https://github.com/logpai/logparser
- A machine learning toolkit for log parsing [ICSE'19, DSN'16]
tojson
What are some alternatives?
loghub - A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
uvicorn-gunicorn-fastapi-docker - Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.
ADBench - Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
nginx-ui - Nginx UI allows you to access and modify the nginx configurations files without cli.
zero-log-parser - Decode Zero log files from the mobile application into text files
scrapydweb - Web app for Scrapyd cluster management, Scrapy log analysis & visualization, Auto packaging, Timer tasks, Monitor & Alert, and Mobile UI. DEMO :point_right:
LogParser - A Log Parser, that create structured data from log files.
pygotham-packaging - Notes from my presentation on Python packaging at PyGotham 2021
Log3C - Log-based impactful problem identification using machine learning [FSE'18]
uwsgi-nginx-flask-docker - Docker image with uWSGI and Nginx for Flask applications in Python running in a single container.