logparser
pygotham-packaging
| logparser | pygotham-packaging | |
|---|---|---|
| 2 | 1 | |
| 1,433 | 21 | |
| 1.7% | - | |
| 7.5 | 0.0 | |
| 3 months ago | almost 2 years ago | |
| Python | ||
| GNU General Public License v3.0 or later | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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]
pygotham-packaging
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Show HN: Logparser – Alternative to GoAccess Written in Python
Suggestion: take the time to package this up for PyPI as something people can install using "pip install" (or "pipx install").
This is hard the first time you do it, but worth learning because it's a really great way to distribute your Python software.
I'm giving a talk about how to do this at PyGotham next month, but the notes from that talk are already available and may be useful to you: https://github.com/simonw/pygotham-packaging
You may also find this cookiecutter template that I use to build and package Python CLI apps helpful: https://github.com/simonw/click-app
What are some alternatives?
loghub - A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
logparser - Command line parser for common log format.
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.
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.
tojson - Convert text to JSON via regular expression.