memory-leak-detector

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Detect memory leaks in desktop applications through heap analysis and object tracking

AI & Automation 814 stars 53 forks Updated today MIT

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# memory-leak-detector Detect memory leaks in desktop applications through heap snapshot analysis, object tracking, and growth pattern detection. ## Capabilities - Capture and compare heap snapshots - Track object allocation growth - Identify retained objects - Detect common leak patterns - Generate leak reports - Suggest fixes ## Input Schema ```json { "type": "object", "properties": { "projectPath": { "type": "string" }, "framework": { "enum": ["electron", "native", "qt"] }, "duration": { "type": "number", "default": 60 } }, "required": ["projectPath"] } ``` ## Detection Approach ```javascript // Heap snapshot comparison const v8 = require('v8'); function detectLeaks(iterations = 3, intervalMs = 10000) { const snapshots = []; const interval = setInterval(() => { global.gc(); // Requires --expose-gc const snapshot = v8.getHeapStatistics(); snapshots.push(snapshot); if (snapshots.length >= iterations) { clearInterval(interval); analyzeGrowth(snapshots); } }, intervalMs); } function analyzeGrowth(snapshots) { const growth = snapshots[snapshots.length - 1].used_heap_size - snapshots[0].used_heap_size; console.log(`Heap growth: ${growth / 1024 / 1024} MB`); } ``` ## Common Leak Patterns 1. Event listeners not removed 2. Closures holding references 3. Global variable accumulation 4. Timer/interval not cleared 5. DOM node detachment ## Related Skills - `electron-memory-profiler` - `startu...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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