jokkedk/webgrind

Xdebug Profiling Web Frontend in PHP

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Summary Information

Updated 29 minutes ago
Type:ApplicationCategory(s):Debugging & ProfilingDeveloper Tools
Added to GitGenius on September 20th, 2026
Created on January 19th, 2011
Open Issues & Pull Requests: 50 (+0)
GitHub issues: Enabled
Number of forks: 407
Total Stargazers: 3,325 (-1)
Total Subscribers: 142 (+0)

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Open issues: 5
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 1,159 days
Stale 30+ days: 5
Stale 90+ days: 5

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Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Webgrind is a web-based frontend for analyzing Xdebug profiling data in PHP. It provides a browser interface to inspect performance profiles generated by Xdebug, implementing a subset of the features found in kcachegrind while prioritizing simplicity and cross-platform compatibility.

The tool solves the problem of analyzing PHP application performance by visualizing Xdebug profiling output. It tracks time spent in functions using both self cost and inclusive cost metrics, distinguishing between internal and user-defined functions. Users can examine call chains to see where functions are invoked from and which functions they call, and the tool can generate call graphs using gprof2dot.py for visual analysis.

Webgrind suits developers who need quick performance optimization insights without complex setup. Installation is straightforward—unzip the package to a web-accessible directory and open it in a browser, or use the built-in PHP server on PHP 5.4 and later. A Docker image is available for inspecting existing Xdebug files without manual installation. The tool is positioned as lighter-weight than kcachegrind, trading some advanced features for immediate usability across all platforms. It works well for quick-and-dirty optimizations rather than deep profiling analysis.

The project receives maintenance updates addressing compatibility and functionality improvements. Development activity shows attention to modern PHP versions and deployment options, including Docker support. The codebase accepts suggestions for new features, indicating openness to community input on the tool's direction.