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

statsc

v0.2.5

Published

StatsC lets you log statistics to your graphite/statsd servers straight from the browser.

Downloads

58

Readme

StatsC

StatsC lets you log statistics to your graphite/statsd servers straight from the browser.

Just like StatsD, StatsC is a fire and forget thing. StatsC can't take your site down if it fails, only statistics won't get logged.

StatsC is transport agnostic so you can use whatever transport method you want.

By default it uses script-tags to provide cross domain ajax without using any libraries. Logging operations are buffered for 5s and then transmitted together.

Installation

Server

$ sudo npm install -g statsc
$ statsc-server
  StatsC server listening on port 8127

or

$ npm install statsc
var statsc = require('statsc');
var http = require('http');

http.createServer(statsc.http).listen(8127, function() {
  console.log('StatsC server listening on port 8127');
});

Client

Include the client script in your <head>:

<script src="client.js"></script>

For testing you can serve it from rawgithub.com:

<script src="https://rawgithub.com/godmodelabs/statsc/master/client.js"></script>

StatsC automatically sends collected metrics to http://localhost:8127/ over the standard transport.

You can scale this thing up easily by just picking one of your available servers randomly, like:

var availablePorts = [8127, 8128, 8129];
var port = availablePorts[Math.round(Math.random()*availablePorts.length)-1];
stats.connect('addr:'+port);

Server API

statsc.http(req, res)

HTTP(s) server handle. Pass to http(s).createServer() in order to handle the standard script-tag transport.

statsc.receive(op)

Logs op to StatsD.

You have to use this if you don't use statsc.http.

Example with Learnboost/socket.io:

socket.on('statsc', function(data) {
 statsc.receive(data);
});

statsc.setAddress(addr)

Configure the address at which StatsD runs.

Client API

statsc.connect(addr)

Use this if the server isnt listening on http://localhost:8127 or perhaps if you are using a custom send method.

statsc.increment(stat[, sampleRate])

Increment the counter at stat by 1.

statsc.decrement(stat[, sampleRate])

Decrement the counter at stat by 1.

statsc.gauge(stat, value[, sampleRate])

Set the gauge at stat to value.

statsc.timing(stat, time[, sampleRate])

Log time to stat.

time can either be

  • a number in milliseconds
  • a Date object, created at the timer's start
  • a synchronous function to be timed

statsc.timer(stat[, sampleRate])

Timer utility in functional style.

Returns a function you can call when you want to mark your timer as resolved.

statsc.send(data)

Standard implementation of a send method using script tags. This shouldn't need to be called manually.

Overwrite this if you want to use websockets or jsonp or whatever.

Example using LearnBoost/socket.io:

statsc.send = function(data) {
 socket.emit('statsc', data);
};

License

(MIT)

Copyright (c) 2012 Julian Gruber <[email protected]>

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.