Memory Usage Tracker
Real-time Memory Usage
Used Memory
0 MB
Total Allocated
0 MB
About Memory Usage Tracking
This tool tracks the real-time memory usage of your webpage using the Performance API. It displays:
- Used Memory: Currently allocated memory being used by the webpage
- Total Memory: Total memory allocated to the webpage
- Live updates every second
- Last 20 data points for trend analysis
Note: Memory usage tracking is only available in Chrome and Chromium-based browsers.
Browser Support
This tool works best on the following browsers:
- Google Chrome
- Microsoft Edge (Chromium-based)
- Opera
- Brave
The Performance API's memory tracking feature is not available in Firefox or Safari.
Memory Usage Tracker FAQs
What is memory usage tracking?
Memory usage tracking monitors how much RAM your webpage consumes in real-time. It shows both the used memory (currently active) and total allocated memory. This helps identify memory leaks, optimize performance, and ensure your web application runs efficiently without consuming excessive resources.
Why does my webpage use so much memory?
High memory usage can result from: large DOM trees with many elements, storing too much data in JavaScript variables, memory leaks from event listeners not being cleaned up, unoptimized images and media, excessive use of third-party libraries, and keeping too many components mounted. Regular monitoring helps identify and fix these issues.
Which browsers support memory usage tracking?
Memory tracking using the Performance API is only available in Chromium-based browsers like Google Chrome, Microsoft Edge, Opera, and Brave. Firefox and Safari do not support the performance.memory API. For cross-browser testing, use browser DevTools Memory Profiler instead.
What is a memory leak and how do I detect it?
A memory leak occurs when your application allocates memory but never releases it, causing gradual memory increase over time. Watch for steadily increasing used memory even when users aren't actively interacting. Use this tool along with browser DevTools Memory Profiler to take heap snapshots and identify leaked objects.
How much memory should a webpage use?
Modern web pages typically use 20-100 MB for simple sites, 100-300 MB for feature-rich applications, and 300+ MB for complex single-page applications with lots of data. Mobile devices have less available memory, so aim for the lower end. If memory continuously grows without user actions, you likely have a leak.
What causes memory to increase over time?
Common causes include: not removing event listeners when components unmount, keeping references to DOM elements after they're removed, storing unlimited data in arrays or caches, setInterval/setTimeout timers not being cleared, closures holding references to large objects, and third-party libraries with memory leaks.
How can I reduce memory usage?
To reduce memory: remove event listeners on cleanup, implement virtual scrolling for long lists, use pagination instead of loading all data, optimize images and lazy load them, clear unused cache data, minimize DOM size, unsubscribe from observables/streams, use weak references when possible, and profile regularly to find bottlenecks.
What is the difference between used and total memory?
Used memory is the actual amount currently being used by JavaScript objects and data. Total memory is the amount allocated by the browser for the JavaScript heap, which includes used memory plus some buffer. The browser allocates memory in chunks for efficiency, so total is usually higher than used.
Pro Tips
- • Monitor memory trends over time - steady increases indicate potential memory leaks.
- • Use Chrome DevTools Memory Profiler to take heap snapshots and identify specific leak sources.
- • Always cleanup: remove event listeners, clear timers, and unsubscribe from observables on component unmount.
- • Implement virtual scrolling or pagination for large lists instead of rendering thousands of DOM elements.
- • Use WeakMap and WeakSet for caching - they allow garbage collection when references are no longer needed.
- • Test on mobile devices or throttle memory in DevTools - they have less RAM available than desktop.
- • Lazy load images and defer loading non-critical resources until they're needed.
- • Profile before and after major feature additions to catch memory regressions early.