Development
KCachegrind is a profile analysis application for finding expensive program paths through call graphs and annotated source. It includes call graph visualization, source annotations, and profile comparison views.
Developers investigating CPU cost in native or interpreted programs
It analyzes captured profiles rather than automatically fixing performance. Profiles must represent the workload that actually matters.
Editorial assessment based on the provider’s published information. Our method
The application is distributed under GPL-2.0-or-later. The listed desktop or mobile software can be used on an ongoing basis without a software subscription. It analyzes captured profiles rather than automatically fixing performance.
GPL-2.0-or-later; It analyzes captured profiles rather than automatically fixing performance.
The $0 price applies to the listed open source application. It analyzes captured profiles rather than automatically fixing performance.
Brings call graph visualization and source annotations into the same workflow.
Generate a supported profile, open it in the viewer, and follow the most costly call paths before choosing a specific optimization to measure again.
It analyzes captured profiles rather than automatically fixing performance.
Profiles must represent the workload that actually matters.
KCachegrind fits developers investigating CPU cost in native or interpreted programs. Generate a supported profile, open it in the viewer, and follow the most costly call paths before choosing a specific optimization to measure again.
It analyzes captured profiles rather than automatically fixing performance. Profiles must represent the workload that actually matters. Keep working files under version control so subsequent changes can be reviewed and reversed.
The application is distributed under GPL-2.0-or-later. The listed desktop or mobile software can be used on an ongoing basis without a software subscription. It analyzes captured profiles rather than automatically fixing performance.
Yes. KCachegrind includes call graph visualization. Generate a supported profile, open it in the viewer, and follow the most costly call paths before choosing a specific optimization to measure again.
It analyzes captured profiles rather than automatically fixing performance.
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Yes. New reviews are submitted for moderation. We show published user reviews separately from the editorial overview and never assign a default user rating.
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