Backend and Frontend application for tracking differences via image comparison
Service receives images, performs pixel by pixel comparison with it’s previously accepted baseline and provides immediate results in order to catch unexpected changes.
curl https://raw.githubusercontent.com/Visual-Regression-Tracker/Visual-Regression-Tracker/master/vrt-install.sh -o vrt-install.sh chmod a+x vrt-install.sh
./vrt-install.sh
Installs the Visual Regression TrackerUsage: ./vrt-install.sh
Arguments: -h | --help -a | --frontend-url Set the Front-end url. Default: http://localhost:8080 -r | --backend-url Set the API url. Default: http://localhost:4200 --jwt-secret Set the JWT secret. Default: randomly generated
$ curl https://raw.githubusercontent.com/Visual-Regression-Tracker/Visual-Regression-Tracker/master/docker-compose.yml -o docker-compose.yml
$ curl https://raw.githubusercontent.com/Visual-Regression-Tracker/Visual-Regression-Tracker/master/.env -o .env
$ docker-compose up
Wait untill you see your creds printed.
New users and projects could be created via frontend app by default on http://localhost:8080
Use implemented libraries to integrate with existing automated suites by adding assertions based on image comparison. We provide native integration with automation libraries, core SDK and Rest API interfaces that allow the system to be used with any existing programming language.
Basic wrapper over API to be used for integration with existing tools * JavaScript * Java * Python * Dotnet
Here you could find examples * JavaScript * Java * Python * Dotnet