async vs p-queue vs bottleneck vs promise-queue vs queue-promise
JavaScript Concurrency Control Libraries Comparison
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asyncp-queuebottleneckpromise-queuequeue-promiseSimilar Packages:
What's JavaScript Concurrency Control Libraries?

Concurrency control libraries in JavaScript are designed to manage asynchronous operations efficiently, allowing developers to handle multiple tasks simultaneously while controlling the flow of execution. These libraries help in preventing issues such as callback hell, race conditions, and resource exhaustion by providing mechanisms for queuing, throttling, and limiting the execution of asynchronous functions. They are particularly useful in scenarios where API calls, file I/O, or other asynchronous tasks need to be managed effectively to ensure optimal performance and resource utilization.

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async65,085,06728,232808 kB1410 months agoMIT
p-queue9,739,2683,71740.6 kB475 months agoMIT
bottleneck4,159,9431,895-866 years agoMIT
promise-queue996,994229-107 years agoMIT
queue-promise14,2459229.2 kB13-MIT
Feature Comparison: async vs p-queue vs bottleneck vs promise-queue vs queue-promise

Control Flow

  • async:

    Async provides a rich set of control flow functions such as series, parallel, and waterfall, allowing developers to easily manage the execution order of asynchronous tasks. This makes it easier to handle complex workflows where the order of operations is critical.

  • p-queue:

    P-Queue offers a flexible queuing mechanism that allows you to manage the execution order of tasks based on priority and concurrency settings. This feature is beneficial when certain tasks need to be prioritized over others, ensuring efficient resource allocation.

  • bottleneck:

    Bottleneck focuses primarily on rate limiting rather than control flow, allowing you to set limits on how many times a function can be called over a specified time period. This is particularly useful for managing API requests and preventing overloading of resources.

  • promise-queue:

    Promise-Queue is designed for straightforward promise management, allowing tasks to be queued and executed in the order they were added. It simplifies the process of managing asynchronous tasks without complex control flow mechanisms.

  • queue-promise:

    Queue-Promise provides a simple promise-based queue that executes tasks in the order they are added, making it easy to manage asynchronous operations without additional features or complexity.

Rate Limiting

  • async:

    Async does not provide built-in rate limiting features, focusing instead on control flow utilities. Developers may need to implement their own rate limiting logic when using Async for tasks that require it.

  • p-queue:

    P-Queue does not have built-in rate limiting features but allows you to manage the concurrency of tasks, which can indirectly help in controlling the rate of execution based on the number of concurrent tasks allowed.

  • bottleneck:

    Bottleneck excels in rate limiting, allowing you to specify the maximum number of executions per interval, as well as the ability to queue excess calls until they can be executed. This is ideal for API interactions where you need to adhere to rate limits.

  • promise-queue:

    Promise-Queue does not include rate limiting capabilities, focusing instead on queuing and executing promises in order, making it suitable for simpler use cases without the need for rate control.

  • queue-promise:

    Queue-Promise does not offer rate limiting features, as it is designed for basic promise queuing and execution without additional constraints.

Ease of Use

  • async:

    Async has a steeper learning curve due to its extensive feature set and various control flow functions. Developers may need to spend time understanding its API to utilize it effectively for complex workflows.

  • p-queue:

    P-Queue is user-friendly, with a clear API that allows developers to easily create queues and manage task execution. Its priority and concurrency features are intuitive and well-documented.

  • bottleneck:

    Bottleneck is relatively easy to use, with a straightforward API for setting up rate limits and managing function calls. Its simplicity makes it accessible for developers who need to implement rate limiting quickly.

  • promise-queue:

    Promise-Queue is designed for simplicity, making it easy to implement and use for managing promises. Its minimalistic approach allows developers to get started quickly without extensive configuration.

  • queue-promise:

    Queue-Promise is also easy to use, providing a simple interface for adding tasks to the queue and executing them in order. Its straightforward design makes it suitable for developers looking for a basic queuing solution.

Performance

  • async:

    Async is optimized for performance in managing complex workflows, but its overhead can increase with the number of tasks and complexity of control flow. It is best used for scenarios where control flow is more critical than raw performance.

  • p-queue:

    P-Queue performs well in managing task execution with its concurrency control, allowing multiple tasks to run simultaneously while respecting priority. It is suitable for scenarios where task management is crucial for performance.

  • bottleneck:

    Bottleneck is highly performant for rate-limited function calls, allowing you to execute tasks efficiently without overwhelming resources. Its design ensures that tasks are executed as quickly as possible within the defined limits.

  • promise-queue:

    Promise-Queue offers good performance for simple queuing of promises, but may not be as efficient for high-throughput scenarios where more advanced features are needed.

  • queue-promise:

    Queue-Promise provides decent performance for basic queuing needs, but may not be suitable for high-performance applications requiring complex task management.

Extensibility

  • async:

    Async is highly extensible, allowing developers to create custom control flow functions and integrate with other libraries. This flexibility makes it suitable for complex applications that require tailored solutions.

  • p-queue:

    P-Queue offers extensibility through its priority and concurrency features, allowing developers to customize task management according to their needs. It can be integrated with other libraries for enhanced functionality.

  • bottleneck:

    Bottleneck is extensible through its configuration options, allowing developers to customize rate limits and behavior. However, it is primarily focused on rate limiting rather than broader extensibility.

  • promise-queue:

    Promise-Queue is less extensible, focusing on basic promise management without additional features for customization. It is best suited for straightforward use cases without the need for extensive modifications.

  • queue-promise:

    Queue-Promise is not designed for extensibility, as it provides a simple queuing mechanism without additional configuration options or customization features.

How to Choose: async vs p-queue vs bottleneck vs promise-queue vs queue-promise
  • async:

    Choose Async if you need a versatile library that provides a wide range of utilities for working with asynchronous JavaScript, including control flow functions for managing series, parallel, and waterfall executions, making it suitable for complex workflows.

  • p-queue:

    Choose P-Queue if you need a promise-based queue with advanced features like priority support and concurrency control, making it suitable for managing tasks that require specific execution order and resource management.

  • bottleneck:

    Choose Bottleneck if you require a powerful rate limiter that can control the execution rate of asynchronous functions, making it ideal for scenarios where you need to limit the number of requests to an API or manage resource-intensive tasks without overwhelming the system.

  • promise-queue:

    Choose Promise-Queue if you want a simple and lightweight queue specifically designed for promises, allowing you to manage the execution of asynchronous tasks in a straightforward manner without additional complexity.

  • queue-promise:

    Choose Queue-Promise if you need a basic promise queue that is easy to use and integrates well with existing promise-based code, making it a good choice for simple task management without the overhead of more complex libraries.

README for async

Async Logo

Github Actions CI status NPM version Coverage Status Join the chat at https://gitter.im/caolan/async jsDelivr Hits

Async is a utility module which provides straight-forward, powerful functions for working with asynchronous JavaScript. Although originally designed for use with Node.js and installable via npm i async, it can also be used directly in the browser. An ESM/MJS version is included in the main async package that should automatically be used with compatible bundlers such as Webpack and Rollup.

A pure ESM version of Async is available as async-es.

For Documentation, visit https://caolan.github.io/async/

For Async v1.5.x documentation, go HERE

// for use with Node-style callbacks...
var async = require("async");

var obj = {dev: "/dev.json", test: "/test.json", prod: "/prod.json"};
var configs = {};

async.forEachOf(obj, (value, key, callback) => {
    fs.readFile(__dirname + value, "utf8", (err, data) => {
        if (err) return callback(err);
        try {
            configs[key] = JSON.parse(data);
        } catch (e) {
            return callback(e);
        }
        callback();
    });
}, err => {
    if (err) console.error(err.message);
    // configs is now a map of JSON data
    doSomethingWith(configs);
});
var async = require("async");

// ...or ES2017 async functions
async.mapLimit(urls, 5, async function(url) {
    const response = await fetch(url)
    return response.body
}, (err, results) => {
    if (err) throw err
    // results is now an array of the response bodies
    console.log(results)
})