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

simpletrace

v0.3.0

Published

Simple but powerful profiling mechanism to find bottlenecks in your code.

Downloads

21

Readme

SimpleTrace

Simple but powerful profiling mechanism to find bottlenecks in your code.

To begin

Install it

npm i simpletrace -D

Require it

// ES6 modules
import SimpleTrace from "simpletrace';

// CommonJS
const SimpleTrace = require("simpletrace");

Usage

const Profiler = new SimpleTrace("Simple prof", {
  writeFile: true,
  logs: false
});

debug across multiple files

If you want to debug across multiple files with the same profiler, just ask SimpleTrace for the instance:

const prof = new SimpleTrace("Simple prof");

If you debug across multiple files with the same profiler and you're not sure which file will run first, pass the options object to each constructor (new SimpleTrace)

You can even create multiple profilers that run in parallel!

options

| Name | Default | Type | Description | | --------- | --------------- | ------- | --------------------------------------------------------------------------------------------------- | | writeFile | false | Boolean | write a file in the root directory of the project with the results | | logs | false | Boolean | log the results to the console | | dir | './simpleTrace' | String | change the directory of the output file, if the directory doesn't exist SimpleTrace will create it |

API

.step

Insert new step to the log list

.end

End the profiling task and output to the console or/and file.

If writeFile is active SimpleTrace will save the file SimpleTrace-<name>-<Date.now()>.txt in the output directory.

Example

const SimpleTrace = require("simpletrace");

const profiler = new SimpleTrace("Debug awesomeFunction", {
writeFile: true,
logs: true
});

module.exports = (function awesomeFunction() {
  profiler.step("Starting awesomeFunction");

  profiler.step("Before getSomeAwesomeData");
  const data = getSomeAwesomeData();
  profiler.step("After getSomeAwesomeData");

  profiler.step("Before dataHashing");
  const hashing = dataHashing(data); // <-- This is our bottleneck
  profiler.step("After dataHashing");

  profiler.end();
})();

The output of the file:

Debug awesomeFunction results:
--------------------

Starting awesomeFunction - 0 ms
Before getSomeAwesomeData - 11 ms
After getSomeAwesomeData - 19.329 ms
Before dataHashing - 19.330 ms
After dataHashing - 5.501 sec