ga-lite
v2.1.6
Published
Small, cacheable subset of Google Analytics JS client
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2,068
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ga-lite
Smaller, cacheable subset of Google Analytics JS client
This project is a non-official implementation for Google Analytics tracker script analytics.js. It uses the official API by Google to send analytics events to Google Analytics.
Version 2 is out! 🎉
Make sure you check the migration guide if you're upgrading.
Install to your project
The easiest way to install ga-lite to your project is to include the following script to your website:
<script>
(function(e,t,n,i,s,a,c){e[n]=e[n]||function(){(e[n].q=e[n].q||[]).push(arguments)}
;a=t.createElement(i);c=t.getElementsByTagName(i)[0];a.async=true;a.src=s
;c.parentNode.insertBefore(a,c)
})(window,document,"galite","script","https://cdn.jsdelivr.net/npm/ga-lite@2/dist/ga-lite.min.js");
galite('create', 'UA-XXXXXXXX-X', 'auto');
galite('send', 'pageview');
</script>
This includes the most recent version of ga-lite to your site from the JSDelivr CDN, initializes the script with your own UA code and sends the current page's pageview event.
Hosting on your own server
If you're hosting the script on your own server, just grab the
dist/ga-lite.min.js
and upload it to your server. Then change the URL from the
loading script (starting with https://cdn.jsdelivr.net
) to point to your own
server.
Install via NPM
If you're using a module bundler like Browserify or Webpack, You can also install the package straight with npm:
npm install ga-lite --save-dev
After the installation, you can use ga-lite in your code by requiring the package:
ES5:
const galite = require('ga-lite')
galite('create', 'UA-XXXXXXXX-X', 'auto')
galite('send', 'pageview')
ES6:
import galite from 'ga-lite'
galite('create', 'UA-XXXXXXXX-X', 'auto')
galite('send', 'pageview')
This imports the package from your node_modules/
and bundles it to your app's
bundle file. This way you don't need to use the loader script to load the
tracker from an external file.
Public API
This project uses same public API as the official analytics.js
script. You can
refer to the usage from the
Google's official analytics.js documentation.
Only use the galite
global function instead of ga
function.
Migrating from analytics.js
As ga-lite uses same public API as the official analytics.js
, the migration
from analytics.js
is really straightforward:
- Include the ga-lite script
- Replace any
ga()
function call withgalite()
If you find any features that are not implemented yet, please open an issue.
Developing
If you have nvm
, execute nvm i
in the project directory to use a
compatible version of node.
Install the project by running:
yarn
This installs the needed dependencies for developing this project.
Running tests
This project uses Jest unit tests to cover most of the code in this repository. Also Cypress tests are used to test behaviour in actual browser.
You can run the tests by running:
yarn test
This runs both unit tests and browser tests in your local machine.
Running unit tests
You can run only unit tests by running:
yarn test:unit
This runs all Jest tests inside test/unit-tests/
folder.
Running browser tests
You can run all browser tests by running:
yarn test:browser
This runs all the Cypress specs from test/browser-tests/specs/
folder.
Building
You can compile this project with the yarn command:
yarn build
Once the compilation has ended, webpack has compiled the assets from /src
folder to /dest
folder.
Do not add the dest/
folder files manually to your pull request. The deploy is
done automatically.
Deploying
The deploy is done automatically by Travis. Creating a new release is done with the following yarn command:
yarn release
This command will ask for new version number and it will create the build commit and tag for you automatically.
You'll need to push the tag and commit to git manually.
Features
This project was first created to be a simple, cacheable alternative to Google Analytics to gain Google Page Speed test score of 100/100.
However the project exceeded expectations with popularity, and the version 2.0
is built to support many of the official analytics.js
script's methods:
- Page Tracking
- Event Tracking
- Social Interactions
- User Timings
- Exception Tracking
How does this script differ from the official analytics.js
script? Here's a
comparison:
| Feature | ga-lite | analytics.js | |----------------------------------------------|---------|------------------------------------------| | Supported by Google | No * | Yes | | Size | ~ 8 kB | ~ 30 kB | | Cacheable as long as you want | Yes | No (only 2 hours) | | Open Source | Yes | No | | Can be hosted on your own server | Yes | No | | Use Cookies | No | Yes | | Gets disabled on "Do not track" browser flag | Yes | No | | Number of official features | Most | All | | Can be installed from NPM | Yes | No | | Can be bundled to your vendor.js bundle | Yes | No | | Browser support | Modern | Modern and IE10+ |
* But uses Google's official, supported API
Need something even simpler?
Check out analytics.js gist by MESA Avukatlık
Ofisi
for even smaller subset of the official analytics.js
script.
Privacy
While analytics.js
uses Cookies by default, ga-lite
only requires a single entry in local storage with key uid
to store the visitor's identification.
Contributing
If you'd like to request a feature, or if you find any official analytics.js
public feature missing, please open an issue.
If you'd like to contribute, please fork the repository and use a feature branch. Pull requests are warmly welcome.
Note: Do not add the dist/
folder files to your pull request, as the master
branch should have the most up-to-date version's build files included. The
new versions will be automatically fetched by jsdelivr
to the CDN.
Motivation
This project was born, because it is currently impossible to use Google Analytics' official JS library to track your site if you want to achieve 100/100 in Google PageSpeed Insights.
This happens, because Google Analytics' official JS library has a cache header with the length of 2 hours. As PageSpeed Insights forces longer cache times, a custom GA library is practically the only way to achieve 100/100 points.
This project also makes it possible to:
- Get your site to load faster (as this is smaller lib than the official)
- Be sure your site won't serve any code you can't check yourself
You can read more from the blog post that's written about the library.
Migrating from v1
Note that version 2 is a complete, not backwards compatible rewrite from the initial ga-lite library.
You must now use the galite
function to initialize your tracker and send the
initial pageview. So the following code in v1:
var galite = galite || {}
galite.UA = 'UA-XXXXXX'
Will need to be converted to:
galite('create', 'UA-XXXXXXXX-X', 'auto')
galite('send', 'pageview')
Notice that ga-lite does not send any events or page views anymore on your
behalf. You must explicitly call galite('send', 'pageview')
to send the
initial page view event.
Onunload tracking
The version 1 also automatically sent an event on the page's unload
event.
This was created, because Google Analytics only shows you "time on page" between
the first and last event that you have sent.
Now normally this is fine, as you expect your user to browser different pages and spend a lot of time on your website. But when user bounces (visits only a single page), the time is not tracked realistically.
For example: User comes from Reddit to read your blog post. You only send the
pageview
event to Google Analytics. User reads the article and leaves the
site. GA then shows the time spent on page as 0, even if the user did read the
whole article and spent time with it.
This can be overcome by sending a beacon on the unload
event, which v1 did
automatically. To avoid any drop in your site's metrics, please include the
following script to your page (after loading ga-lite):
<script>
var terminationEvent = 'onpagehide' in window ? 'pagehide' : 'unload';
window.addEventListener(terminationEvent, function() {
galite('send', 'timing', 'JS Dependencies', 'unload')
})
</script>
Note that 'pagehide'
is preferred for modern browsers.
FAQ
Why does ga-lite error with Pingdom?
When you run a website speed test with Pingdom's speed test, the connection to www.google-analytics.com
that ga-lite makes fails. You'll see a connection error appearing:
Plus the connection to www.google-analytics.com
in the page waterfall fails:
This error happens because Google Analytics blocks requests that the Pingdom bot makes. This error does not mean that ga-lite is broken or implemented incorrectly.
If you want to perform a website speed test that loads ga-lite correctly, use Webpagetest.org.
Licensing
The code in this project is licensed under MIT license.