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readme.md
Lighthouse
Lighthouse analyzes web apps and web pages, collecting modern performance metrics and insights on developer best practices.
Lighthouse requires Chrome 56 or later.
Installation
Chrome extension
Install from the Chrome Web Store
Node CLI
Requires Node v6+.
npm install -g lighthouse
# or use yarn:
# yarn global add lighthouse
Running Lighthouse
Chrome extension
Check out the quick-start guide: http://bit.ly/lighthouse-quickstart
CLI
Kick off a run by passing lighthouse
the URL to audit:
lighthouse https://airhorner.com/
By default, Lighthouse writes the report to an HTML file. You can control the output format by passing flags.
CLI options
$ lighthouse --help
lighthouse <url>
Logging:
--verbose Displays verbose logging [boolean]
--quiet Displays no progress, debug logs or errors [boolean]
Configuration:
--save-assets Save the trace contents & screenshots to disk [boolean]
--save-artifacts Save all gathered artifacts to disk [boolean]
--list-all-audits Prints a list of all available audits and exits [boolean]
--list-trace-categories Prints a list of all required trace categories and exits [boolean]
--additional-trace-categories Additional categories to capture with the trace (comma-delimited).
--config-path The path to the config JSON.
--chrome-flags Custom flags to pass to Chrome (space-delimited). For a full list of flags, see
http://peter.sh/experiments/chromium-command-line-switches/. [default: ""]
--perf Use a performance-test-only configuration [boolean]
--port The port to use for the debugging protocol. Use 0 for a random port [default: 9222]
--max-wait-for-load The timeout (in milliseconds) to wait before the page is considered done loading and the run should continue.
WARNING: Very high values can lead to large traces and instability [default: 25000]
Output:
--output Reporter for the results, supports multiple values [choices: "json", "html", "domhtml"] [default: "html"]
--output-path The file path to output the results. Use 'stdout' to write to stdout.
If using JSON output, default is stdout.
If using HTML output, default is a file in the working directory with a name based on the test URL and date.
If using multiple outputs, --output-path is ignored.
Example: --output-path=./lighthouse-results.html
--view Open HTML report in your browser [boolean]
Options:
--help Show help [boolean]
--version Show version number [boolean]
--disable-storage-reset Disable clearing the browser cache and other storage APIs before a run [boolean]
--disable-device-emulation Disable Nexus 5X emulation [boolean]
--disable-cpu-throttling Disable CPU throttling [boolean] [default: false]
--disable-network-throttling Disable network throttling [boolean]
--skip-autolaunch Skip autolaunch of Chrome when already running instance is not found [boolean]
--select-chrome Interactively choose version of Chrome to use when multiple installations are found [boolean]
--interactive Open Lighthouse in interactive mode [boolean]
Examples:
lighthouse <url> --view Opens the HTML report in a browser after the run completes
lighthouse <url> --config-path=./myconfig.js Runs Lighthouse with your own configuration: custom audits, report
generation, etc.
lighthouse <url> --output=json --output-path=./report.json --save-assets Save trace, screenshots, and named JSON report.
lighthouse <url> --disable-device-emulation --disable-network-throttling Disable device emulation
lighthouse <url> --chrome-flags="--window-size=412,732" Launch Chrome with a specific window size
lighthouse <url> --quiet --chrome-flags="--headless" Launch Headless Chrome, turn off logging
For more information on Lighthouse, see https://developers.google.com/web/tools/lighthouse/.
Output Examples
lighthouse
generates
./<HOST>_<DATE>.report.html
lighthouse --output json
generates
- json output on
stdout
lighthouse --output html --output-path ./report.html
generates
./report.html
NOTE: specifying an output path with multiple formats ignores your specified extension for ALL formats
lighthouse --output json --output html --output-path ./myfile.json
generates
./myfile.report.json
./myfile.report.html
lighthouse --output json --output html
generates
./<HOST>_<DATE>.report.json
./<HOST>_<DATE>.report.html
lighthouse --output-path=~/mydir/foo.out --save-assets
generates
~/mydir/foo.report.html
~/mydir/foo-0.trace.json
~/mydir/foo-0.screenshots.html
lighthouse --output-path=./report.json --output json --save-artifacts
generates
./report.json
./report.artifacts.log
lighthouse --save-artifacts
generates
./<HOST>_<DATE>.report.html
./<HOST>_<DATE>.artifacts.log
Testing on a site with authentication
chrome-debug
- open and login to your site
- in a separate terminal tab
lighthouse http://mysite.com
Testing on a mobile device
Lighthouse can run against a real mobile device. You can follow the Remote Debugging on Android (Legacy Workflow) up through step 3.3, but the TL;DR is install & run adb, enable USB debugging, then port forward 9222 from the device to the machine with Lighthouse.
You'll likely want to use the CLI flags --disable-device-emulation --disable-cpu-throttling
and potentially --disable-network-throttling
.
$ adb kill-server
$ adb devices -l
* daemon not running. starting it now on port 5037 *
* daemon started successfully *
00a2fd8b1e631fcb device usb:335682009X product:bullhead model:Nexus_5X device:bullhead
$ adb forward tcp:9222 localabstract:chrome_devtools_remote
$ lighthouse --disable-device-emulation --disable-cpu-throttling https://mysite.com
Using programmatically
The example below shows how to setup and run Lighthouse programmatically as a Node module. It
assumes you've installed Lighthouse as a dependency (yarn add --dev lighthouse
).
const lighthouse = require('lighthouse');
const ChromeLauncher = require('lighthouse/chrome-laucher/chrome-launcher.js');
const Printer = require('lighthouse/lighthouse-cli/printer');
function launchChromeAndRunLighthouse(url, flags, config) {
const launchedChrome = ChromeLauncher.launch();
launchedChrome
.then(() => lighthouse(url, flags, config)) // Run Lighthouse.
.then(results => launchedChrome.kill())
.then(() => results) // Kill Chrome and return results.
.catch(err => {
// Kill Chrome if there's an error.
return launchedChrome.kill().then(() => {
throw err;
});
});
}
// Use an existing config or create a custom one.
const config = require('lighthouse/lighthouse-core/config/perf.json');
const url = 'https://example.com';
const flags = {output: 'html'};
launchChromeAndRunLighthouse(url, flags, config).then(lighthouseResults => {
lighthouseResults.artifacts = undefined; // You can save the artifacts separately if so desired
return Printer.write(lighthouseResults, flags.output);
}).catch(err => console.error(err));
Example - extracting an overall score from all scored audits
function getOverallScore(lighthouseResults) {
const scoredAggregations = lighthouseResults.aggregations.filter(a => a.scored);
const total = scoredAggregations.reduce((sum, aggregation) => sum + aggregation.total, 0);
return (total / scoredAggregations.length) * 100;
}
Recipes
Helpful for CI integration
Viewing a report
Lighthouse can produce a report as JSON, HTML, or stdout CLI output.
HTML report:
Default CLI output:
Online Viewer
Running Lighthouse with the --output=json
flag generates a json dump of the run.
You can view this report online by visiting https://googlechrome.github.io/lighthouse/viewer/
and dragging the file onto the app. You can also use the "Export" button from the
top of any Lighthouse HTML report and open the report in the
Lighthouse Viewer.
In the Viewer, reports can be shared by clicking the share icon in the top right corner and signing in to GitHub.
Note: shared reports are stashed as a secret Gist in GitHub, under your account.
Related Projects
- webpack-lighthouse-plugin - run Lighthouse from a Webpack build.
- lighthouse-mocha-example - gathers performance metrics via Lighthouse and tests them in Mocha
- pwmetrics - gather performance metrics
- lighthouse-hue - Lighthouse score setting the color of Philips Hue lights
- lighthouse-batch - Run Lighthouse over a number of sites in sequence and generating a summary report including all of their scores.
Develop
Setup
# yarn should be installed, first
git clone https://github.com/GoogleChrome/lighthouse
cd lighthouse
yarn install-all
yarn build-all
# The CLI is authored in TypeScript and requires compilation.
# If you need to make changes to the CLI, run the TS compiler in watch mode:
# cd lighthouse-cli && yarn dev
See Contributing for more information.
Run
node lighthouse-cli http://example.com
Getting started tip:
node --inspect --debug-brk lighthouse-cli http://example.com
to open up Chrome DevTools and step through the entire app. See Debugging Node.js with Chrome DevTools for more info.
Creating custom audits & gatherers
The audits and gatherers checked into the lighthouse repo are available to any configuration. If you're interested in writing your own audits or gatherers, you can use them with Lighthouse without necessarily contributing upstream.
Better docs coming soon, but in the meantime look at PR #593, and the tests valid-custom-audit.js and valid-custom-gatherer.js. If you have questions, please file an issue and we'll help out!
Tip: see Lighthouse Architecture for more information on Audits and Gatherers.
Custom configurations for runs
You can supply your own run configuration to customize what audits you want details on. Copy the default.js and start customizing. Then provide to the CLI with lighthouse --config-path=myconfig.js <url>
If you are simply adding additional audits/gatherers or tweaking flags, you can extend the default configuration without having to copy the default and maintain it. Passes with the same name will be merged together, all other arrays will be concatenated, and primitive values will override the defaults. See the example below that adds a custom gatherer to the default pass and an audit.
{
"extends": true,
"passes": [
{
"passName": "defaultPass",
"gatherers": ["path/to/custom/gatherer.js"]
}
],
"audits": ["path/to/custom/audit.js"],
"aggregations": [
{
"name": "Custom Section",
"description": "Enter description here.",
"scored": false,
"categorizable": false,
"items": [
{
"name": "My Custom Audits",
"audits": {
"name-of-custom-audit": {}
}
}
]
}
]
}
Tests
Some basic unit tests forked are in /test
and run via mocha. eslint is also checked for style violations.
# lint and test all files
yarn test
# watch for file changes and run tests
# Requires http://entrproject.org : brew install entr
yarn watch
## run linting and unit tests separately
yarn lint
yarn unit
## run closure compiler (on whitelisted files)
yarn closure
## import your report renderer into devtools-frontend and run devtools closure compiler
yarn compile-devtools
Lighthouse as trace processor
Lighthouse can be used to analyze trace and performance data collected from other tools (like WebPageTest and ChromeDriver). The traces
and devtoolsLogs
artifact items can be provided using a string for the absolute path on disk. The devtoolsLogs array is captured from the Network domain (a la ChromeDriver's enableNetwork
option) and reformatted slightly. As an example, here's a trace-only run that's reporting on user timings and critical request chains:
config.json
{
"audits": [
"user-timings",
"critical-request-chains"
],
"artifacts": {
"traces": {
"defaultPass": "/User/me/lighthouse/lighthouse-core/test/fixtures/traces/trace-user-timings.json"
},
"devtoolsLogs": {
"defaultPass": "/User/me/lighthouse/lighthouse-core/test/fixtures/traces/perflog.json"
}
},
"aggregations": [{
"name": "Performance Metrics",
"description": "These encapsulate your app's performance.",
"scored": false,
"categorizable": false,
"items": [{
"audits": {
"user-timings": { "expectedValue": 0, "weight": 1 },
"critical-request-chains": { "expectedValue": 0, "weight": 1}
}
}]
}]
}
Then, run with: lighthouse --config-path=config.json http://www.random.url
The traceviewer-based trace processor from node-big-rig was forked into Lighthouse. Additionally, the DevTools' Timeline Model is available as well. There may be advantages for using one model over another.
FAQ
What is the architecture?
What is "Do Better Web"?
Do Better Web is an initiative within Lighthouse to help web developers modernize their existing web applications. By running a set of tests, developers can discover new web platform APIs, become aware of performance pitfalls, and learn (newer) best practices. In other words, do better on the web!
DBW is implemented as a set of standalone gatherers and audits that are run alongside the core Lighthouse tests. The tests show up under "Best Practices" in the report.
If you'd like to contribute, check the list of issues or propose a new audit by filing an issue.
Are results sent to a remote server?
Nope. Lighthouse runs locally, auditing a page using a local version of the Chrome browser installed the machine. Report results are never processed or beaconed to a remote server.
Lighthouse, ˈlītˌhous (n): a tower or other structure tool containing a beacon light
to warn or guide ships at sea developers.