- Inspect ML models visually from your Python notebook π
- Review ML models collaboratively to get feedback on potential errors π§
- Test ML models automatically for a safe deployment to production β
git clone https://github.com/Giskard-AI/giskard.git
cd giskard
docker-compose up -d
After the application is started you can access at:
login / password: admin / admin
You can upload models to Giskard from Jupyter notebooks or any other python environment. it can be done using Giskard client library
There's a demo python notebook available at https://localhost:18888 that can be used to upload a first model.
Find out more about Giskard by reading our docs
Join our community on Discord to get support and leave feedback