limiter vs p-limit vs p-throttle
Concurrency Control Libraries
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Concurrency Control Libraries

Concurrency control libraries are essential tools in web development that help manage the execution of asynchronous operations, ensuring that they do not overwhelm system resources or violate rate limits. These libraries provide mechanisms to limit the number of concurrent operations, throttle requests over time, or impose specific execution constraints. By using these libraries, developers can optimize performance, enhance user experience, and prevent server overloads, especially when dealing with APIs or resource-intensive tasks.

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limiter11,188,3161,558158 kB14a year agoMIT
p-limit02,80714.9 kB0a month agoMIT
p-throttle051321.6 kB04 months agoMIT

Feature Comparison: limiter vs p-limit vs p-throttle

Concurrency Management

  • limiter:

    Limiter provides a straightforward API to set limits on how many times a function can be executed within a defined time frame. It is particularly useful for controlling the rate of function calls, making it suitable for scenarios like API requests where rate limits are enforced.

  • p-limit:

    p-limit allows you to control the number of concurrent promises that can be executed at any given time. This is crucial for managing resource-intensive tasks, as it helps prevent overwhelming the system by limiting how many promises are processed simultaneously.

  • p-throttle:

    p-throttle provides a mechanism to throttle function calls, ensuring that a function is only executed once within a specified time interval. This is particularly useful for scenarios like debouncing user input or limiting the frequency of API calls.

Use Cases

  • limiter:

    Limiter is ideal for scenarios where you need to enforce strict rate limits on function calls, such as when interacting with APIs that have usage quotas or when you want to limit the frequency of certain operations to prevent resource exhaustion.

  • p-limit:

    p-limit is best suited for scenarios where you need to perform multiple asynchronous operations, such as fetching data from multiple sources or processing files, while ensuring that only a certain number of these operations are executed concurrently to maintain performance.

  • p-throttle:

    p-throttle is particularly effective in scenarios where you want to limit the frequency of event handling, such as in user interface interactions (e.g., scrolling, resizing) or when making frequent API calls that should not exceed a certain rate.

Performance Optimization

  • limiter:

    By limiting the number of function calls, Limiter helps optimize performance by preventing excessive load on the system, ensuring that resources are used efficiently and that the application remains responsive even under heavy usage.

  • p-limit:

    p-limit enhances performance by allowing developers to control the concurrency of promise executions, which can lead to better resource management and improved response times when dealing with multiple asynchronous tasks.

  • p-throttle:

    p-throttle optimizes performance by ensuring that functions are not called more frequently than necessary, which can help reduce the load on servers and improve the overall efficiency of the application.

Simplicity and Ease of Use

  • limiter:

    Limiter offers a simple and intuitive API, making it easy to implement rate limiting in your applications without requiring extensive configuration or complex setups.

  • p-limit:

    p-limit is designed to be straightforward to use, allowing developers to quickly set up concurrency limits for their asynchronous operations with minimal overhead.

  • p-throttle:

    p-throttle provides a clean and easy-to-understand interface for throttling function calls, making it accessible for developers looking to implement rate limiting in their applications.

Flexibility

  • limiter:

    Limiter is flexible in that it allows developers to define custom limits based on their specific needs, making it adaptable to various use cases and scenarios.

  • p-limit:

    p-limit offers flexibility in managing the concurrency of promises, allowing developers to adjust the maximum number of concurrent executions based on system capabilities and requirements.

  • p-throttle:

    p-throttle is flexible in its configuration, enabling developers to easily specify the time interval for throttling, making it suitable for a wide range of applications.

How to Choose: limiter vs p-limit vs p-throttle

  • limiter:

    Choose Limiter if you need a simple and effective way to control the rate of function executions, especially in scenarios where you want to limit the number of times a function can be called over a specified period. It is particularly useful for scenarios like API rate limiting.

  • p-limit:

    Select p-limit when you want to manage the concurrency of promises, allowing you to specify the maximum number of promises that can be executed simultaneously. This is ideal for scenarios where you need to perform multiple asynchronous operations but want to avoid overwhelming the system with too many concurrent requests.

  • p-throttle:

    Opt for p-throttle if you need to limit the execution rate of a function over time, ensuring that it is called at most once in a specified duration. This is particularly useful for scenarios like handling user input events or API calls that should not be made too frequently.

Similar Npm Packages to limiter

limiter is a rate-limiting middleware for Node.js applications. It helps developers control the rate at which requests are processed, preventing abuse and ensuring fair usage of resources. By implementing rate limiting, applications can protect themselves from denial-of-service attacks and manage traffic more effectively. While limiter provides a solid solution for rate limiting, there are other libraries that serve similar purposes. Here are a few alternatives:

  • express-rate-limit is a popular middleware for Express applications that allows you to limit repeated requests to public APIs and endpoints. It is highly configurable, enabling developers to set limits based on various criteria such as IP address, request path, and more. With built-in support for handling exceeded limits, express-rate-limit is an excellent choice for Express applications that require robust rate-limiting capabilities.
  • ratelimiter is another rate-limiting library that provides a simple and flexible API for implementing rate limits in Node.js applications. It allows developers to define limits based on different criteria and offers features such as burst control and dynamic rate limits. If you are looking for a lightweight and straightforward solution for rate limiting, ratelimiter is a great option.

To see how limiter compares with express-rate-limit and ratelimiter, check out the comparison: Comparing express-rate-limit vs limiter vs ratelimiter.

Similar Npm Packages to p-limit

p-limit is a utility library that allows developers to limit the number of concurrent promises that can be executed at a time. This is particularly useful when dealing with APIs or other asynchronous operations where you want to avoid overwhelming the server or hitting rate limits. By using p-limit, you can control the flow of asynchronous tasks, ensuring that only a specified number of them run concurrently, while the others wait in line until a slot becomes available.

While p-limit is a great tool for managing concurrency, there are other libraries that provide similar functionality. Here are a couple of alternatives:

  • p-queue is a promise queue that allows you to manage the concurrency of asynchronous tasks. It provides a more feature-rich solution than p-limit, with options for prioritizing tasks, setting a maximum concurrency level, and even handling retries. If you need more control over the order and execution of your asynchronous operations, p-queue is an excellent choice. It’s particularly useful for scenarios where you need to manage complex workflows or prioritize certain tasks over others.

  • p-throttle is another alternative that focuses on limiting the rate at which a function can be called. Unlike p-limit, which limits concurrent executions, p-throttle allows you to control how often a function can be invoked over time. This can be particularly useful for scenarios like API rate limiting, where you want to ensure that a function is not called too frequently. If your primary concern is controlling the rate of function execution rather than managing concurrency, p-throttle is the right tool for the job.

To see how p-limit compares with p-queue and p-throttle, check out the comparison: Comparing p-limit vs p-queue vs p-throttle.

Similar Npm Packages to p-throttle

p-throttle is a utility library that allows developers to limit the number of times a function can be called over a specified period. This is particularly useful in scenarios where you want to prevent overwhelming a server with too many requests or to control the rate of execution of asynchronous functions. By using p-throttle, you can ensure that your application behaves more predictably and efficiently, especially when dealing with resource-intensive operations.

While p-throttle provides a straightforward solution for throttling function calls, there are alternative libraries that also offer similar functionality. Here are a couple of noteworthy alternatives:

  • limiter is a flexible library that provides rate limiting for asynchronous functions. It allows you to define how many times a function can be called within a specific timeframe, making it suitable for scenarios where you need to control the rate of execution. limiter is particularly useful for managing API calls or other resource-intensive operations, ensuring that your application remains responsive and efficient. Its simple API and customizable options make it a strong contender for developers looking for a robust rate-limiting solution.

  • p-limit is another library that helps you limit the number of concurrent promises. Unlike p-throttle, which focuses on throttling the execution rate of a single function, p-limit allows you to control how many promises can run simultaneously. This can be particularly useful when you want to manage the load on a server or optimize the performance of your application by preventing too many concurrent operations. With p-limit, you can easily set the concurrency level, making it a great choice for handling multiple asynchronous tasks efficiently.

To see how p-throttle compares with limiter and p-limit, check out the comparison: Comparing limiter vs p-limit vs p-throttle.

README for limiter

limiter

Build Status NPM Downloads

Provides a generic rate limiter for the web and node.js. Useful for API clients, web crawling, or other tasks that need to be throttled. Two classes are exposed, RateLimiter and TokenBucket. TokenBucket provides a lower level interface to rate limiting with a configurable burst rate and drip rate. RateLimiter sits on top of the token bucket and adds a restriction on the maximum number of tokens that can be removed each interval to comply with common API restrictions such as "150 requests per hour maximum".

Installation

yarn add limiter

Usage

A simple example allowing 150 requests per hour:

import { RateLimiter } from "limiter";

// Allow 150 requests per hour (the Twitter search limit). Also understands
// 'second', 'minute', 'day', or a number of milliseconds
const limiter = new RateLimiter({ tokensPerInterval: 150, interval: "hour" });

async function sendRequest() {
  // This call will throw if we request more than the maximum number of requests
  // that were set in the constructor
  // remainingRequests tells us how many additional requests could be sent
  // right this moment
  const remainingRequests = await limiter.removeTokens(1);
  callMyRequestSendingFunction(...);
}

Another example allowing one message to be sent every 250ms:

import { RateLimiter } from "limiter";

const limiter = new RateLimiter({ tokensPerInterval: 1, interval: 250 });

async function sendMessage() {
  const remainingMessages = await limiter.removeTokens(1);
  callMyMessageSendingFunction(...);
}

The default behaviour is to wait for the duration of the rate limiting that's currently in effect before the promise is resolved, but if you pass in "fireImmediately": true, the promise will be resolved immediately with remainingRequests set to -1:

import { RateLimiter } from "limiter";

const limiter = new RateLimiter({
  tokensPerInterval: 150,
  interval: "hour",
  fireImmediately: true
});

async function requestHandler(request, response) {
  // Immediately send 429 header to client when rate limiting is in effect
  const remainingRequests = await limiter.removeTokens(1);
  if (remainingRequests < 0) {
    response.writeHead(429, {'Content-Type': 'text/plain;charset=UTF-8'});
    response.end('429 Too Many Requests - your IP is being rate limited');
  } else {
    callMyMessageSendingFunction(...);
  }
}

A synchronous method, tryRemoveTokens(), is available in both RateLimiter and TokenBucket. This will return immediately with a boolean value indicating if the token removal was successful.

import { RateLimiter } from "limiter";

const limiter = new RateLimiter({ tokensPerInterval: 10, interval: "second" });

if (limiter.tryRemoveTokens(5))
  console.log('Tokens removed');
else
  console.log('No tokens removed');

To get the number of remaining tokens outside the removeTokens promise, simply use the getTokensRemaining method.

import { RateLimiter } from "limiter";

const limiter = new RateLimiter({ tokensPerInterval: 1, interval: 250 });

// Prints 1 since we did not remove a token and our number of tokens per
// interval is 1
console.log(limiter.getTokensRemaining());

Using the token bucket directly to throttle at the byte level:

import { TokenBucket } from "limiter";

const BURST_RATE = 1024 * 1024 * 150; // 150KB/sec burst rate
const FILL_RATE = 1024 * 1024 * 50; // 50KB/sec sustained rate

// We could also pass a parent token bucket in to create a hierarchical token
// bucket
// bucketSize, tokensPerInterval, interval
const bucket = new TokenBucket({
  bucketSize: BURST_RATE,
  tokensPerInterval: FILL_RATE,
  interval: "second"
});

async function handleData(myData) {
  await bucket.removeTokens(myData.byteLength);
  sendMyData(myData);
}

Additional Notes

Both the token bucket and rate limiter should be used with a message queue or some way of preventing multiple simultaneous calls to removeTokens(). Otherwise, earlier messages may get held up for long periods of time if more recent messages are continually draining the token bucket. This can lead to out of order messages or the appearance of "lost" messages under heavy load.

License

MIT License

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