Once you've set up the docker container that we provide, you will be able to interact with live instances of both of our analysis tools: the web-based analysis environment and the analysis library for Python. You will also be able to use our visualisation tool to see how VyPR works during instrumentation and online monitoring.
The web-based analysis environment can be accessed at http://localhost:9002/, since the ports in the container are mapped to ports on your own machine.
Once you've accessed this in your web browser, refer to our documentation to find your way around.
To give you a feel for the analysis library, we provide two Jupyter notebooks. Once launched (our setup script will do this for you), you can access them by visiting a URL like the following:
http://localhost:9005/?token=...
The output from our setup script will include the token that you should use.
You can find extensive documentation for our analysis library here.
The visualisation tool can be accessed at http://localhost:9001/.
This tool allows you to see what VyPR is doing when it instruments and monitors a program.