promise-queue vs async vs bottleneck vs fastq vs p-limit vs queue
JavaScript Concurrency Control Libraries
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JavaScript Concurrency Control Libraries

Concurrency control libraries in JavaScript are designed to manage asynchronous operations effectively, allowing developers to control the flow of tasks, limit the number of concurrent executions, and optimize performance. These libraries provide various mechanisms to handle callbacks, promises, and async/await patterns, making it easier to work with asynchronous code and ensuring that applications remain responsive and efficient under load.

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promise-queue1,064,618230-108 years agoMIT
async028,174808 kB242 years agoMIT
bottleneck01,990-907 years agoMIT
fastq01,12947.9 kB214 months agoISC
p-limit02,85514.9 kB13 months agoMIT
queue077219.6 kB193 years agoMIT

Feature Comparison: promise-queue vs async vs bottleneck vs fastq vs p-limit vs queue

Concurrency Control

  • promise-queue:

    Promise Queue allows you to queue promises and control their execution order while respecting concurrency limits, making it easy to manage asynchronous workflows predictably and efficiently.

  • async:

    Async provides various control flow functions such as series, parallel, and waterfall, allowing developers to manage the execution order of asynchronous tasks easily. This makes it suitable for complex workflows where task dependencies exist.

  • bottleneck:

    Bottleneck allows you to set limits on how many times a function can be called within a specified time frame, making it ideal for rate-limiting scenarios, such as API calls or resource-heavy operations.

  • fastq:

    Fastq offers a straightforward way to manage a queue of tasks with a specified concurrency limit, allowing you to control how many tasks are processed simultaneously, thus optimizing resource usage and performance.

  • p-limit:

    p-limit is designed to limit the number of concurrent promises, providing a simple API to enforce concurrency limits on asynchronous operations, which helps prevent resource exhaustion and improves performance.

  • queue:

    Queue provides a basic structure for managing tasks, allowing both synchronous and asynchronous functions to be queued and executed in order, making it versatile for various task management scenarios.

Ease of Use

  • promise-queue:

    Promise Queue is user-friendly, with a clear API for queuing and managing promises, making it accessible for developers of all skill levels.

  • async:

    Async has a rich set of utility functions that can simplify complex asynchronous workflows, but it may have a steeper learning curve due to its extensive API and callback-based style.

  • bottleneck:

    Bottleneck is straightforward to use with a simple API that focuses on rate limiting, making it easy to integrate into existing codebases without much overhead.

  • fastq:

    Fastq is designed for performance and simplicity, providing a minimalistic API that is easy to understand and implement, making it a good choice for developers looking for efficiency without complexity.

  • p-limit:

    p-limit is very lightweight and easy to use, with a simple function signature that allows developers to quickly apply concurrency limits to their promise-based tasks.

  • queue:

    Queue is simple and flexible, making it easy to implement and use for managing tasks, whether they are synchronous or asynchronous.

Performance

  • promise-queue:

    Promise Queue is efficient in managing promise execution, ensuring that tasks are processed in a timely manner while respecting concurrency limits without unnecessary delays.

  • async:

    Async can introduce some overhead due to its extensive feature set, but it is optimized for handling complex workflows efficiently. However, for simple tasks, it may be overkill.

  • bottleneck:

    Bottleneck is highly optimized for performance, especially in scenarios requiring strict rate limiting, ensuring that function calls are executed efficiently without exceeding limits.

  • fastq:

    Fastq is designed for high performance, allowing for efficient queuing and execution of tasks with minimal overhead, making it suitable for performance-critical applications.

  • p-limit:

    p-limit is lightweight and optimized for performance, ensuring that limiting concurrency does not introduce significant overhead, making it ideal for high-throughput scenarios.

  • queue:

    Queue is efficient for managing task execution order, but performance may vary depending on the complexity of the tasks being managed.

Use Cases

  • promise-queue:

    Promise Queue is useful for managing a series of asynchronous tasks that need to be executed in order, such as sequential data fetching or processing tasks that depend on previous results.

  • async:

    Async is best suited for complex workflows involving multiple asynchronous operations with dependencies, such as data processing pipelines or batch processing tasks.

  • bottleneck:

    Bottleneck is ideal for scenarios where you need to control the rate of API calls, such as scraping data from web services or interacting with rate-limited APIs.

  • fastq:

    Fastq is perfect for applications that require managing a queue of tasks with a defined concurrency level, such as processing jobs in a worker system or handling background tasks.

  • p-limit:

    p-limit is suitable for scenarios where you want to limit the number of concurrent operations, such as file uploads or network requests, to prevent overwhelming resources.

  • queue:

    Queue is versatile and can be used for various task management scenarios, including job scheduling, event handling, or managing asynchronous workflows.

Community and Support

  • promise-queue:

    Promise Queue has decent community support and documentation, making it accessible for developers looking for a straightforward promise management solution.

  • async:

    Async has a large community and extensive documentation, providing a wealth of resources and examples for developers, but it may be less actively maintained compared to newer libraries.

  • bottleneck:

    Bottleneck has a growing community and good documentation, with active maintenance and support, making it a reliable choice for developers looking for rate limiting solutions.

  • fastq:

    Fastq has a smaller community but is well-documented, providing sufficient resources for developers to implement and use the library effectively.

  • p-limit:

    p-limit is actively maintained with a supportive community, offering clear documentation and examples to help developers get started quickly.

  • queue:

    Queue has a moderate community presence and provides basic documentation, making it suitable for developers who need a simple task management solution.

How to Choose: promise-queue vs async vs bottleneck vs fastq vs p-limit vs queue

  • promise-queue:

    Choose Promise Queue if you need a straightforward way to queue promises and control their execution. It is ideal for managing tasks that return promises, ensuring that they are executed in the order they were added while respecting a specified concurrency limit, making it easy to handle asynchronous workflows in a predictable manner.

  • async:

    Choose Async if you need a comprehensive utility library that provides a variety of functions for working with asynchronous JavaScript, including control flow, collections, and more. It is ideal for complex workflows where you need to manage multiple asynchronous operations in a structured manner.

  • bottleneck:

    Choose Bottleneck if you require precise control over the rate of function execution. It is particularly useful for scenarios like API rate limiting, where you want to ensure that a function does not exceed a certain number of calls per time period, thus preventing overload and ensuring compliance with external service limits.

  • fastq:

    Choose Fastq if you need a simple and efficient queue implementation that can handle asynchronous tasks with a focus on performance. It is particularly well-suited for scenarios where you want to manage a queue of tasks with a specified concurrency level, allowing for fine-tuned control over execution order and resource usage.

  • p-limit:

    Choose p-limit if you want a lightweight solution to limit the number of concurrent promises. It is perfect for scenarios where you need to run multiple asynchronous operations but want to restrict the number of them that can run simultaneously, helping to manage resource consumption effectively.

  • queue:

    Choose Queue if you need a simple and flexible queue implementation for managing tasks, regardless of whether they are synchronous or asynchronous. It provides a basic structure for task management and is useful for scenarios where you want to maintain the order of execution without additional complexity.

Similar Npm Packages to promise-queue

promise-queue is a JavaScript library that helps manage a queue of promises, allowing developers to control the concurrency of asynchronous operations. It provides a simple way to limit the number of promises that can be executed simultaneously, which is particularly useful when dealing with APIs or resources that have rate limits. While promise-queue is effective for managing promise execution, there are several alternatives that offer similar functionality. Here are a few noteworthy options:

  • async is a widely-used utility module that provides powerful functions for working with asynchronous JavaScript. It includes a variety of methods for managing asynchronous control flow, including queues, series, and parallel execution. async is particularly useful for handling complex workflows where you need to manage multiple asynchronous tasks in a structured way. Its extensive feature set makes it suitable for a wide range of scenarios, from simple promise management to complex asynchronous workflows.

  • bottleneck is a rate limiter for JavaScript that provides a robust way to control the execution of asynchronous functions. It allows you to set limits on how many times a function can be called in a given timeframe, making it ideal for scenarios where you need to avoid overwhelming a server or API. bottleneck is highly configurable, allowing you to set different limits for different functions, and it can handle both promise-based and callback-based functions seamlessly.

  • p-queue is a promise queue implementation that allows you to manage the concurrency of promise-based tasks. It provides a simple API for adding tasks to the queue and controlling how many tasks can run simultaneously. p-queue is particularly useful when you need to manage a large number of asynchronous operations while ensuring that you don't exceed certain concurrency limits. Its lightweight nature and focus on promises make it a great alternative to promise-queue.

  • queue-promise is another library designed for managing a queue of promise-based tasks. It allows you to control the concurrency of your asynchronous operations while providing a straightforward API for adding tasks to the queue. queue-promise is particularly useful for scenarios where you need to ensure that tasks are executed in a specific order while managing concurrency effectively.

To explore how promise-queue compares with async, bottleneck, p-queue, and queue-promise, check out the comparison: Comparing async vs bottleneck vs p-queue vs promise-queue vs queue-promise.

Similar Npm Packages to async

async is a utility module that provides powerful functions for working with asynchronous JavaScript. It simplifies the process of managing asynchronous operations, allowing developers to write cleaner and more maintainable code. With features like parallel execution, series execution, and control flow, async is particularly useful for handling complex asynchronous workflows. However, there are several alternatives in the JavaScript ecosystem that also provide similar functionalities. Here are a few notable ones:

  • bluebird is a fully-featured promise library that offers a wide range of utilities for working with promises. It enhances the native Promise functionality by providing additional features such as cancellation, progress tracking, and more robust error handling. bluebird is known for its performance and is a great choice for developers looking for an advanced promise library that can handle complex asynchronous tasks with ease.

  • p-map is a lightweight utility that allows you to map over an array asynchronously, executing a provided function for each element in parallel. It is particularly useful when you need to perform asynchronous operations on an array of items and want to control the concurrency level. p-map is simple to use and can be a great alternative for scenarios where you need to process multiple asynchronous tasks without the overhead of a larger library.

  • q is another promise library that focuses on providing a simple and straightforward API for working with asynchronous code. It was one of the earlier promise libraries in the JavaScript ecosystem and offers features like chaining, error handling, and more. While it may not be as feature-rich as some of the newer libraries, q is still a solid choice for developers looking for a lightweight solution for managing asynchronous operations.

To see how async compares with bluebird, p-map, and q, check out the comparison: Comparing async vs bluebird vs p-map vs q.

Similar Npm Packages to bottleneck

bottleneck is a powerful rate-limiting library for JavaScript that helps manage the execution of asynchronous tasks. It allows developers to control how many tasks are executed concurrently and to set limits on the rate at which tasks can be processed. This can be particularly useful when dealing with APIs that have rate limits or when you want to prevent overwhelming a server with too many requests at once. Bottleneck provides a flexible and easy-to-use API for managing these constraints, making it a popular choice for developers looking to optimize their asynchronous workflows.

Here are some alternatives to bottleneck:

  • async is a utility module that provides powerful functions for working with asynchronous JavaScript. It offers a variety of methods for managing asynchronous control flow, including parallel execution, series execution, and more. While async does not specifically focus on rate limiting, it provides a robust set of tools for handling asynchronous operations, making it a versatile choice for many developers. If you need a comprehensive toolkit for managing asynchronous tasks beyond just rate limiting, async is a solid option.
  • p-limit is a simple and lightweight library that allows you to limit the number of concurrent promises. It provides a straightforward API for controlling the concurrency of asynchronous operations, making it easy to prevent overwhelming resources or APIs. If you are looking for a minimalistic solution specifically focused on limiting concurrency, p-limit is a great choice that integrates well with promise-based workflows.
  • promise-limit is another library designed to limit the number of concurrent promises. It offers a simple API for managing the execution of asynchronous functions, allowing you to specify how many promises can run simultaneously. If you need a straightforward way to control concurrency without the additional features of a more complex library, promise-limit can be an effective solution.
  • rate-limiter-flexible is a flexible and powerful rate-limiting library that can be used in both Node.js and browser environments. It allows you to implement various rate-limiting strategies, such as limiting requests per second, minute, or hour. This library is particularly useful for applications that require advanced rate-limiting capabilities, such as those interacting with APIs that enforce strict rate limits.

To see how bottleneck compares with async, p-limit, promise-limit, and rate-limiter-flexible, check out the comparison: Comparing async vs bottleneck vs p-limit vs promise-limit vs rate-limiter-flexible.

Similar Npm Packages to fastq

fastq is a fast and efficient queue implementation for Node.js, designed to handle asynchronous tasks. It allows developers to manage and process tasks in a controlled manner, providing features like concurrency control and task prioritization. Fastq is particularly useful in scenarios where you need to execute multiple asynchronous operations while maintaining performance and resource management.

While fastq is a powerful tool for managing asynchronous tasks, there are several alternatives available in the Node.js ecosystem that offer similar functionality. Here are a few noteworthy options:

  • async is a well-known utility module that provides a variety of functions for working with asynchronous JavaScript. It includes features for managing parallel and series execution of tasks, as well as control flow functions. Async is a comprehensive library that can handle a wide range of asynchronous patterns, making it a versatile choice for many developers.
  • bottleneck is a powerful rate-limiting library for JavaScript, designed to manage the execution of asynchronous functions while controlling the rate at which they are called. Bottleneck is particularly useful when dealing with APIs that have rate limits or when you want to prevent overwhelming a resource with too many concurrent requests. Its features include priority queuing, scheduling, and automatic retries, making it a robust option for managing asynchronous tasks.
  • p-limit is a simple utility for limiting the number of concurrent promises. It allows you to create a function that can only run a specified number of promises at a time, which can help prevent resource exhaustion and improve performance. P-limit is lightweight and easy to use, making it a great choice for developers looking for a straightforward solution to concurrency control.
  • promise-queue is a promise-based queue implementation that allows you to manage the execution of asynchronous tasks in a controlled manner. It provides features for limiting concurrency and managing the order of task execution. Promise-queue is particularly useful when you need to ensure that tasks are executed in a specific order while still maintaining control over concurrency.
  • queue is a simple and flexible queue implementation for Node.js that allows you to manage asynchronous tasks. It provides features for controlling concurrency, prioritizing tasks, and handling task completion. Queue is easy to use and can be a good choice for developers looking for a straightforward way to manage asynchronous operations.

To see how fastq compares with async, bottleneck, p-limit, promise-queue, and queue, check out the comparison: Comparing async vs bottleneck vs fastq vs p-limit vs promise-queue vs queue.

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 queue

queue is a simple and efficient library for managing queues in JavaScript applications. It allows developers to create and manage a queue of tasks, ensuring that they are executed in the order they were added. This can be particularly useful for scenarios where tasks need to be processed sequentially or when managing asynchronous operations. While queue provides a straightforward solution for task management, there are several alternatives that offer additional features and capabilities. Here are a few notable options:

  • agenda is a lightweight job scheduling library for Node.js that uses MongoDB as its backend. It allows you to define jobs that can be scheduled to run at specific times or intervals. agenda is particularly useful for applications that require recurring tasks or delayed job execution. Its integration with MongoDB makes it a good choice for applications already using this database for data storage.
  • async is a utility module that provides powerful functions for working with asynchronous JavaScript. It offers a variety of methods for managing tasks, including parallel and series execution, as well as control flow management. While async is not a queue library per se, it provides robust tools for handling asynchronous operations, making it a valuable alternative for developers looking for more control over task execution.
  • bee-queue is a simple and fast queue library for Node.js that is designed for handling jobs in a distributed system. It is built on top of Redis and focuses on performance and reliability. bee-queue is particularly suitable for applications that require a lightweight solution for job processing with minimal overhead.
  • bull is another powerful queue library for Node.js that also uses Redis as its backend. It provides advanced features such as job prioritization, delayed jobs, and rate limiting. bull is ideal for applications that need a robust job processing system with the ability to handle complex workflows and large volumes of jobs.
  • kue is a priority job queue backed by Redis, designed for Node.js applications. It provides a simple API for creating and managing jobs, along with a user interface for monitoring job status. kue is suitable for applications that require a visual representation of job processing and management.
  • p-queue is a promise-based queue implementation that allows you to manage asynchronous tasks with concurrency control. It is lightweight and easy to use, making it a great choice for applications that need to limit the number of concurrent operations while still maintaining a simple queue structure.

To see how these libraries compare, check out the comparison: Comparing agenda vs async vs bee-queue vs bull vs kue vs p-queue vs queue.

README for promise-queue

promise-queue NPM Version Build Status Coverage Status Dependency Status

Promise-based queue

Installation

promise-queue can be installed using npm:

npm install promise-queue

Interface

  • new Queue(Number maxConcurrent, Number maxQueued): Queue
  • Queue#add(Function generator): Promise - adds function argument that generates a promise to the queue
  • Queue#getQueueLength(): Number - returns current length of buffer(added but not started promise generators) it <= maxQueued
  • Queue#getPendingLength(): Number - returns number of pending(concurrently running) promises it <= maxConcurrent

Example

Configure queue

By default Queue tries to use global Promises, but you can specify your own promises.

Queue.configure(require('vow').Promise);

Or use old-style promises approach:

Queue.configure(function (handler) {
    var dfd = $.Deferred();
    try {
        handler(dfd.resolve, dfd.reject, dfd.notify);
    } catch (e) {
        dfd.reject(e);
    }
    return dfd.promise();
});

Queue one by one example

var maxConcurrent = 1;
var maxQueue = Infinity;
var queue = new Queue(maxConcurrent, maxQueue);

app.get('/version/:user/:repo', function (req, res, next) {
    queue.add(function () {
        // Assume that this action is a way too expensive
        // Call of this function will be delayed on second request
        return downloadTarballFromGithub(req.params);
    })
    .then(parseJson('package.json'))
    .then(function (package) {
        res.send(package.version);
    })
    .catch(next);
});

Getting number of pending promises and queue(buffered promises) length

var maxConcurrent = 1;
var maxQueue = 1;
var queue = new Queue(maxConcurrent, maxQueue);

queue.add(function () {
    queue.getQueueLength() === 0;
    queue.getPendingLength() === 1;
    return somePromise();
});

queue.add(function () {
    queue.getQueueLength() === 0;
    queue.getPendingLength() === 0;
    return somePromise();
});

queue.getQueueLength() === 1;
queue.getPendingLength() === 1;

Live example

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