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@kalxjs/performance
Advanced tools
Performance optimization utilities for KalxJs framework.
npm install @kalxjs/performance
import {
lazyLoad,
debounce,
throttle,
memoize,
virtualList,
withPerformanceTracking
} from '@kalxjs/performance';
// Lazy load a component
const LazyComponent = lazyLoad(() => import('./HeavyComponent.js'), {
loading: LoadingSpinner,
error: ErrorComponent,
delay: 200,
timeout: 10000
});
// Debounce a function
const debouncedSearch = debounce((query) => {
// Search logic here
fetchSearchResults(query);
}, 300);
// Throttle a function
const throttledScroll = throttle(() => {
// Scroll handler logic
updateScrollPosition();
}, 100);
// Memoize a function
const expensiveCalculation = memoize((a, b) => {
// Complex calculation
return a * b * Math.sqrt(a + b);
});
// Create a virtualized list
const VirtualizedList = virtualList({
itemHeight: 50,
overscan: 5,
getKey: (item) => item.id
});
// Use the virtualized list
const MyList = {
setup() {
const items = ref([/* many items */]);
return () => h(VirtualizedList, {
items: items.value,
renderItem: (item) => h('div', {}, item.name)
});
}
};
// Track component performance
const TrackedComponent = withPerformanceTracking(MyComponent, {
name: 'MyComponent',
logToConsole: true,
onMeasure: (stats) => {
// Send performance data to analytics
analytics.trackPerformance(stats);
}
});
Load components only when they're needed to reduce initial bundle size.
Limit the rate at which functions are called to improve performance.
Cache function results to avoid redundant calculations.
Efficiently render large lists by only rendering items in the viewport.
Measure and monitor component render performance.
Lazy load a component with loading and error states.
Create a debounced function that delays invoking the function until after wait
milliseconds.
Create a throttled function that only invokes the function at most once per limit
milliseconds.
Create a memoized function that caches results based on input arguments.
Create a virtualized list component for efficient rendering of large lists.
Wrap a component with performance measurement.
MIT
FAQs
Performance optimization utilities for KalxJs framework
We found that @kalxjs/performance demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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