ua_parser_js 1.0.1 
ua_parser_js: ^1.0.1 copied to clipboard
UAParser from JavaScript library to detect Browser, Engine, OS, CPU, and Device type/model from User-Agent data with relatively small footprint (~17KB minified, ~6KB gzipped) that can be used either i [...]
ua_parser_js #
UAParser from JavaScript
Getting Started #
Include ua-parser-js at /web/index.html
<!doctype html>
<html>
<head>
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/ua-parser-js@1.0.2/dist/ua-parser.min.js"></script>
</head>
<body>
</body>
</html>
Using HTML #
<!doctype html>
<html>
<head>
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/ua-parser-js@1.0.2/dist/ua-parser.min.js"></script>
<script type="text/javascript">
let parser = new UAParser();
let result = parser.getResult();
var useCanvaskit = false;
if(result.os.name == "Android" && result.browser.major >= 57) {
useCanvaskit = true
} else if(result.os.name == "iOS" && result.browser.major >= 11) {
useCanvaskit = true
}
if(useCanvaskit) {
window.flutterWebRenderer = "canvaskit";
}
console.log("canvaskit: " + useCanvaskit);
console.log(result);
</script>
</head>
<body>
</body>
</html>
Using Dart #
import 'package:ua_parser_js/ua_parser_js.dart';
String? defaultFontFamily() {
String? fontFamily;
var uaParser = UAParser();
final result = uaParser.getResult();
print("UAParser: ${result.jsObject()}");
switch (uaParser.getOS().name) {
case "iOS":
fontFamily = "PingFang";
break;
}
print("fontFamily: $fontFamily");
return fontFamily;
}
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Metadata
UAParser from JavaScript library to detect Browser, Engine, OS, CPU, and Device type/model from User-Agent data with relatively small footprint (~17KB minified, ~6KB gzipped) that can be used either in browser (client-side) or node.js (server-side).
Repository (GitHub)
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Documentation
License
MIT (LICENSE)
