The system is available as a browser application. It uses the following technologies:
- jQuery, Bootstrap, Quill, _underscore, d3js
- Google Graph, Google Material Icons
The data is stored as CSV files on the server.
All analysis data are loaded into the RAM of RAL. This architecture ensures very fast work even with complex filters. However, this can lead to performance problems with large projects and a smaller RAM. At least 16GB RAM are recommended.
RAL is not prepared for use with mobile devices. Since the analysis concept uses in particular the advantages of human visual pattern recognition, a use on a small screen would not be effective. It is therefore recommended to use a monitor that is as large as possible.