npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

exponential-backoff

v3.1.1

Published

A utility that allows retrying a function with an exponential delay between attempts.

Downloads

41,505,551

Readme

exponential-backoff

A utility that allows retrying a function with an exponential delay between attempts.

Installation

npm i exponential-backoff

Usage

The backOff<T> function takes a promise-returning function to retry, and an optional BackOffOptions object. It returns a Promise<T>.

function backOff<T>(
  request: () => Promise<T>,
  options?: BackOffOptions
): Promise<T>;

Here is an example retrying a function that calls a hypothetical weather endpoint:

import { backOff } from "exponential-backoff";

function getWeather() {
  return fetch("weather-endpoint");
}

async function main() {
  try {
    const response = await backOff(() => getWeather());
    // process response
  } catch (e) {
    // handle error
  }
}

main();

Migrating across major versions? Here are our breaking changes.

BackOffOptions

  • delayFirstAttempt?: boolean

    Decides whether the startingDelay should be applied before the first call. If false, the first call will occur without a delay.

    Default value is false.

  • jitter?: JitterType | string

    Decides whether a jitter should be applied to the delay. Possible values are full and none.

    Default value is none.

  • maxDelay?: number

    The maximum delay, in milliseconds, between two consecutive attempts.

    Default value is Infinity.

  • numOfAttempts?: number

    The maximum number of times to attempt the function.

    Default value is 10.

    Minimum value is 1.

  • retry?: (e: any, attemptNumber: number) => boolean | Promise<boolean>

    The retry function can be used to run logic after every failed attempt (e.g. logging a message, assessing the last error, etc.). It is called with the last error and the upcoming attempt number. Returning true will retry the function as long as the numOfAttempts has not been exceeded. Returning false will end the execution.

    Default value is a function that always returns true.

  • startingDelay?: number

    The delay, in milliseconds, before executing the function for the first time.

    Default value is 100 ms.

  • timeMultiple?: number

    The startingDelay is multiplied by the timeMultiple to increase the delay between reattempts.

    Default value is 2.