caglayantuna / giskard

Open-Source CI/CD platform for ML teams. Deliver ML products, better & faster. ⚡️🧑‍🔧

Open-Source CI/CD platform for ML teams

Deliver ML products, better & faster

Why Giskard?

⚡ Collaborate faster with feedback from business stakeholders.
🧑‍🔧 Deploy automated tests to eliminate regressions, errors & biases.

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Open Source Project Website: https://giskard.ai/

Get started with the Documentation: https://docs.giskard.ai/

Documentation Source Code: https://github.com/Giskard-AI/documentation

Join our User Community: https://gisk.ar/discord

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Interactive demo

Click the image below to start the demo:

Product workflow

Installation

Requirements: git, docker and docker-compose

git clone https://github.com/Giskard-AI/giskard.git
cd giskard
docker-compose up -d

After the application is started you can access at:

http://localhost:19000 with default login / password: admin / admin

Upload your model

Easy upload for any Python model: PyTorch, TensorFlow, Transformers, Scikit-learn, etc.
👉 Documentation

Collect feedback on your model

Improve ML models with business stakeholders in no time.
👉 Documentation

Get automated test suites in seconds

Exhaustive test suites, backed by 
State-of-the-Art ML research.
👉 Documentation

Deploy tests in your CI/CD Pipeline

Protect your ML models against the risk of regressions, drift and bias.
👉 Documentation

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