| name | tanstack-pacer |
| description | Framework-agnostic debouncing, throttling, rate limiting, queuing, and batching utilities. |
Overview
TanStack Pacer provides a unified, type-safe toolkit for controlling function execution timing. It offers class-based APIs, factory functions, and React hooks for debouncing, throttling, rate limiting, queuing, and batching.
Core: @tanstack/pacer
React: @tanstack/react-pacer
Status: Beta
Installation
npm install @tanstack/pacer
npm install @tanstack/react-pacer
Debouncing
Delays execution until after a period of inactivity.
Class API
import { Debouncer } from '@tanstack/pacer'
const debouncer = new Debouncer(
(query: string) => fetchSearchResults(query),
{
wait: 300,
leading: false,
trailing: true,
maxWait: 1000,
enabled: true,
onExecute: (result) => console.log(result),
}
)
debouncer.maybeExecute('search term')
debouncer.cancel()
debouncer.getExecutionCount()
debouncer.setOptions({ wait: 500 })
Factory Function
import { debounce } from '@tanstack/pacer'
const debouncedSearch = debounce(
(query: string) => fetchResults(query),
{ wait: 300 }
)
debouncedSearch('term')
debouncedSearch.cancel()
React Hooks
import {
useDebouncer,
useDebouncedCallback,
useDebouncedState,
useDebouncedValue,
} from '@tanstack/react-pacer'
const debouncer = useDebouncer(fn, { wait: 300 })
const debouncedFn = useDebouncedCallback(fn, { wait: 300 })
const [debouncedValue, setValue] = useDebouncedState(initialValue, { wait: 300 })
const debouncedValue = useDebouncedValue(reactiveValue, { wait: 300 })
Throttling
Limits execution to at most once per interval.
Class API
import { Throttler } from '@tanstack/pacer'
const throttler = new Throttler(
(position: { x: number; y: number }) => updatePosition(position),
{
wait: 100,
leading: true,
trailing: true,
enabled: true,
onExecute: (result) => console.log(result),
}
)
throttler.maybeExecute({ x: 100, y: 200 })
throttler.cancel()
React Hooks
import {
useThrottler,
useThrottledCallback,
useThrottledState,
useThrottledValue,
} from '@tanstack/react-pacer'
const throttledFn = useThrottledCallback(handleScroll, { wait: 100 })
const [throttledPos, setPos] = useThrottledState({ x: 0, y: 0 }, { wait: 100 })
Rate Limiting
Controls execution with a maximum count within a time window.
Class API
import { RateLimiter } from '@tanstack/pacer'
const limiter = new RateLimiter(
async (endpoint: string) => fetch(endpoint).then(r => r.json()),
{
limit: 10,
window: 60000,
enabled: true,
onExecute: (result) => console.log(result),
onReject: (...args) => console.warn('Rate limited:', args),
}
)
limiter.maybeExecute('/api/data')
limiter.getExecutionCount()
limiter.getRejectionCount()
React Hooks
import {
useRateLimiter,
useRateLimitedCallback,
useRateLimitedState,
useRateLimitedValue,
} from '@tanstack/react-pacer'
const rateLimitedFn = useRateLimitedCallback(apiCall, { limit: 5, window: 1000 })
Queuing
Sequential execution with configurable concurrency.
import { Queue } from '@tanstack/pacer'
const queue = new Queue({
concurrency: 1,
started: true,
})
queue.add(() => uploadFile(file1))
queue.add(() => uploadFile(file2))
queue.start()
queue.pause()
queue.clear()
queue.getSize()
queue.getPending()
Batching
Groups calls for combined processing.
import { Batcher } from '@tanstack/pacer'
const batcher = new Batcher(
(items: LogEntry[]) => sendBatchToServer(items),
{
maxSize: 50,
wait: 1000,
}
)
batcher.add(logEntry)
batcher.flush()
batcher.getSize()
batcher.clear()
Async Variants
import { AsyncDebouncer, asyncDebounce, AsyncThrottler, asyncThrottle } from '@tanstack/pacer'
const asyncDebouncer = new AsyncDebouncer(
async (query: string) => {
const response = await fetch(`/api/search?q=${query}`)
return response.json()
},
{ wait: 300 }
)
import { useAsyncDebouncer, useAsyncThrottler } from '@tanstack/react-pacer'
Choosing the Right Utility
| Scenario | Utility | Why |
|---|
| Search input | Debouncer | Wait for user to stop typing |
| Scroll events | Throttler | Periodic updates during activity |
| API protection | RateLimiter | Hard limit on call frequency |
| File uploads | Queue | Sequential processing |
| Analytics events | Batcher | Group for efficiency |
| Network requests | AsyncDebouncer | Handle abort/retry |
Leading vs Trailing Edge
- Leading (
leading: true): Execute immediately, suppress until wait expires. Good for button clicks.
- Trailing (
trailing: true): Execute after activity stops. Good for search inputs.
- Both: Execute immediately AND after final wait. Good for scroll throttling.
Best Practices
- Use
maxWait with debouncing to guarantee execution during continuous activity
- Use async variants for network requests (handle abort/cancellation)
- React hooks handle cleanup automatically - no manual teardown needed
- Use
setOptions for dynamic reconfiguration (e.g., reducing wait for power users)
- Compose utilities for complex scenarios (rate-limited queue)
- Use
onReject on RateLimiter to inform users when they're rate limited
Common Pitfalls
- Using debounce when you need throttle (debounce waits for inactivity, throttle guarantees periodic execution)
- Not using
maxWait with debounce for long-running continuous events
- Creating new instances on every render (use hooks or module-level)
- Forgetting cleanup in non-React environments (call
cancel())