tanstack-pacer
Framework-agnostic debouncing, throttling, rate limiting, queuing, and batching utilities.
Works with
---
name: tanstack-pacer
description: Framework-agnostic debouncing, throttling, rate limiting, queuing, and batching utilities.
license: MIT
---
## 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
```bash
npm install @tanstack/pacer
npm install @tanstack/react-pacer # React hooks
```
## Debouncing
Delays execution until after a period of inactivity.
### Class API
```typescript
import { Debouncer } from '@tanstack/pacer'
const debouncer = new Debouncer(
(query: string) => fetchSearchResults(query),
{
wait: 300, // ms of inactivity before execution
leading: false, // Execute on leading edge (default: false)
trailing: true, // Execute on trailing edge (default: true)
maxWait: 1000, // Force execution after 1s of continuous calls
enabled: true,
onExecute: (result) => console.log(result),
}
)
debouncer.maybeExecute('search term')
debouncer.cancel()
debouncer.getExecutionCount()
debouncer.setOptions({ wait: 500 }) // Dynamic reconfiguration
```
### Factory Function
```typescript
import { debounce } from '@tanstack/pacer'
const debouncedSearch = debounce(
(query: string) => fetchResults(query),
{ wait: 300 }
)
debouncedSearch('term')
debouncedSearch.cancel()
```
### React Hooks
```typescript
import {
useDebouncer,
useDebouncedCallback,
useDebouncedState,
useDebouncedValue,
} from '@tanstack/react-pacer'
// Full debouncer instance
const debouncer = useDebouncer(fn, { wait: 300 })
// Simple debounced function
const debouncedFn = useDebouncedCallback(fn, { wait: 300 })
// Debounced state management
const [debouncedValue, setValue] = useDebouncedState(initialValue, { wait: 300 })
// Debounced reactive value
const debouncedValue = useDebouncedValue(reactiveValue, { wait: 300 })
```
## Throttling
Limits execution to at most once per interval.
### Class API
```typescript
import { Throttler } from '@tanstack/pacer'
const throttler = new Throttler(
(position: { x: number; y: number }) => updatePosition(position),
{
wait: 100, // Minimum interval between executions
leading: true, // Execute immediately on first call (default: true)
trailing: true, // Execute after interval with last args (default: true)
enabled: true,
onExecute: (result) => console.log(result),
}
)
throttler.maybeExecute({ x: 100, y: 200 })
throttler.cancel()
```
### React Hooks
```typescript
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
```typescript
import { RateLimiter } from '@tanstack/pacer'
const limiter = new RateLimiter(
async (endpoint: string) => fetch(endpoint).then(r => r.json()),
{
limit: 10, // Max executions per window
window: 60000, // Time window in ms (60s)
enabled: true,
onExecute: (result) => console.log(result),
onReject: (...args) => console.warn('Rate limited:', args),
}
)
limiter.maybeExecute('/api/data') // Rejected if limit exceeded
limiter.getExecutionCount()
limiter.getRejectionCount()
```
### React Hooks
```typescript
import {
useRateLimiter,
useRateLimitedCallback,
useRateLimitedState,
useRateLimitedValue,
} from '@tanstack/react-pacer'
const rateLimitedFn = useRateLimitedCallback(apiCall, { limit: 5, window: 1000 })
```
## Queuing
Sequential execution with configurable concurrency.
```typescript
import { Queue } from '@tanstack/pacer'
const queue = new Queue({
concurrency: 1, // Max concurrent tasks
started: true, // Start processing immediately
})
queue.add(() => uploadFile(file1))
queue.add(() => uploadFile(file2))
queue.start()
queue.pause()
queue.clear()
queue.getSize() // Pending count
queue.getPending() // Currently executing count
```
## Batching
Groups calls for combined processing.
```typescript
import { Batcher } from '@tanstack/pacer'
const batcher = new Batcher(
(items: LogEntry[]) => sendBatchToServer(items),
{
maxSize: 50, // Auto-flush at 50 items
wait: 1000, // Auto-flush after 1s
}
)
batcher.add(logEntry) // Accumulates
batcher.flush() // Manual flush
batcher.getSize() // Current batch size
batcher.clear() // Discard batch
```
## Async Variants
```typescript
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 }
)
// React async hooks
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
1. **Use `maxWait` with debouncing** to guarantee execution during continuous activity
2. **Use async variants** for network requests (handle abort/cancellation)
3. **React hooks handle cleanup automatically** - no manual teardown needed
4. **Use `setOptions`** for dynamic reconfiguration (e.g., reducing wait for power users)
5. **Compose utilities** for complex scenarios (rate-limited queue)
6. **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()`)More API Design skills
lark-event
larksuite/cli
Lark/Feishu real-time event listening / subscribing / consuming: stream events as NDJSON via `lark-cli event consume <EventKey>` (covers IM messages/reactions/chat changes, Approval status changes, Task updates, VC meeting started/joined/ended, Minutes generated, Whiteboard updated, etc.). Use for Lark bots, real-time message processing, long-running subscribers, streaming webhook/push handlers. Supports `--max-events` / `--timeout` bounded runs and a stderr ready-marker contract — designed for AI agents running as subprocesses.
lark-contact
larksuite/cli
飞书 / Lark 通讯录:按姓名 / 邮箱解析成 open_id,或按 open_id 反查姓名 / 部门 / 邮箱 / 联系方式 / 个人状态 / 签名,以及按关键词搜索当前用户可见的机器人 / 智能体(agent)。当用户提到一个名字要下一步发消息 / 排日程,或拿到 open_id 想查具体信息时使用。不负责部门树遍历、按部门列员工、组织架构图,这类需求走原生 OpenAPI。
lark-openapi-explorer
larksuite/cli
飞书/Lark 原生 OpenAPI 探索:从官方文档库中挖掘未经 CLI 封装的原生 OpenAPI 接口。当用户的需求无法被现有 lark-* skill 或 lark-cli 已注册命令满足,需要查找并调用原生飞书 OpenAPI 时使用。

