Installation & upgrade
How to install Giskard on your machine, set up your Python backend and upgrade Giskard


To install Giskard, you need a Linux or macOS machine with:
To install Giskard in AWS, please go to Installation in AWS
Run the following commands to install Giskard in your server
git clone
cd giskard
docker-compose up -d --force-recreate
If you have an error because of the rate limit (toomanyrequests: Rate exceeded), please re-execute the docker-compose command line once again.
Once the docker-compose starts all the modules, you'll be able to open Giskard at http://localhost:19000/
Since the backend container may take some minutes to load, please wait a bit and refresh the webpage http://localhost:19000/
To login, the default credentials are Login: admin / Password: admin
You're all set to try Giskard in action. Upload your first model by following the Upload your ML model & data tutorial.

Upgrade Giskard to the latest version

In order to upgrade Giskard to the latest version, please run the following in your Giskard distribution directory
git pull
docker-compose down && docker-compose pull && docker-compose up -d --force-recreate
  • The browser may keep using an old version of Giskard UI due to caching. If there are issues after running an upgrade try to hard refresh Giskard page by pressing Ctrl + Shift + R or Command + Shift + R
  • If you installed in Giskard additional Python libraries or a new Python version, you will need to reinstall them. Please refer to


If you encounter any issues, join our Discord on our #support channel. Our community will help!
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Upgrade Giskard to the latest version