p-limit vs limiter vs p-throttle
Concurrency Control Libraries Comparison
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What's 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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p-limit56,300,5592,10510.3 kB614 days agoMIT
limiter2,381,6481,517-204 years agoMIT
p-throttle609,61845011.7 kB7a month agoMIT
Feature Comparison: p-limit vs limiter vs p-throttle

Concurrency Management

  • 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.

  • 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-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

  • 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.

  • 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-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

  • 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.

  • 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-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

  • 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.

  • 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-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

  • 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.

  • 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-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: p-limit vs limiter vs p-throttle
  • 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.

  • 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-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 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 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-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 p-limit

p-limit

Run multiple promise-returning & async functions with limited concurrency

Works in Node.js and browsers.

Install

npm install p-limit

Usage

import pLimit from 'p-limit';

const limit = pLimit(1);

const input = [
	limit(() => fetchSomething('foo')),
	limit(() => fetchSomething('bar')),
	limit(() => doSomething())
];

// Only one promise is run at once
const result = await Promise.all(input);
console.log(result);

API

pLimit(concurrency) default export

Returns a limit function.

concurrency

Type: number
Minimum: 1

Concurrency limit.

limit(fn, ...args)

Returns the promise returned by calling fn(...args).

fn

Type: Function

Promise-returning/async function.

args

Any arguments to pass through to fn.

Support for passing arguments on to the fn is provided in order to be able to avoid creating unnecessary closures. You probably don't need this optimization unless you're pushing a lot of functions.

limit.activeCount

The number of promises that are currently running.

limit.pendingCount

The number of promises that are waiting to run (i.e. their internal fn was not called yet).

limit.clearQueue()

Discard pending promises that are waiting to run.

This might be useful if you want to teardown the queue at the end of your program's lifecycle or discard any function calls referencing an intermediary state of your app.

Note: This does not cancel promises that are already running.

limit.concurrency

Get or set the concurrency limit.

limitFunction(fn, options) named export

Returns a function with limited concurrency.

The returned function manages its own concurrent executions, allowing you to call it multiple times without exceeding the specified concurrency limit.

Ideal for scenarios where you need to control the number of simultaneous executions of a single function, rather than managing concurrency across multiple functions.

import {limitFunction} from 'p-limit';

const limitedFunction = limitFunction(async () => {
	return doSomething();
}, {concurrency: 1});

const input = Array.from({length: 10}, limitedFunction);

// Only one promise is run at once.
await Promise.all(input);

fn

Type: Function

Promise-returning/async function.

options

Type: object

concurrency

Type: number
Minimum: 1

Concurrency limit.

FAQ

How is this different from the p-queue package?

This package is only about limiting the number of concurrent executions, while p-queue is a fully featured queue implementation with lots of different options, introspection, and ability to pause the queue.

Related

  • p-throttle - Throttle promise-returning & async functions
  • p-debounce - Debounce promise-returning & async functions
  • p-all - Run promise-returning & async functions concurrently with optional limited concurrency
  • More…
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