I wrote a small tool that I have found useful.  It is a Python script that parses and analyzes web log files (in W3C Extended Log File Format).  It creates and HTML report with data and PNG images showing graphs of things like: request throughput, error rates, HTTP method distribution, content type distribution, time-series, etc.

Many log parsing/analysis tools exist, but I was looking for something more specific to Performance than something a webmaster would want to look at.

The script is pretty basic. It was very useful for my own needs, but others might want to modify it.  If anyone has good suggestions to add to it, I am willing to enhance it at some point (or just grab my code and hack it yourself if you know Python).

Project Home

• www.goldb.org/perflog

Features

• Produces metrics and graphs from web logs (W3C Extended Log File Format)
• Useful during performance testing and analysis
• Output is created in XHTML/CSS with embedded PNG images
• PerfLog is written in Python and uses Matplotlib for graphs and plotting

License

• GNU GPLv2 (always free)

Project Info

• Google Code - Project Home
• Subversion Trunk (Source Code)

Requirements

• Python 2.4+
• Matplotlib (requires Numeric or Numpy)

Platforms

• Cross-Platform.  PerfLog will run on any system that supports Python and Matplotlib.