Djinn

Fake production data for ML.

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Console’s review

· Reviewed by David Mytton

What we like

Enables privacy compliant training of ML models on realistic fake data. Connects to your prod database via SQL, transforms (fakes) the data, then trains your model. Provides a report after training to confirm how realistic the trained data was. Supports tabular and event driven models. Export to ipynb. Cloud or self-hosted.

Tradeoffs

No dark mode. Pretty hefty minimum requirements for self-hosting, but ML training is compute & GPU intensive.

Is Djinn a fit?

Based on Console’s review published on 2023-03-02. Summary updated .

Who it’s for

Developers training machine learning models

Why consider it

Enables privacy compliant training of ML models on realistic fake data

Keep in mind

Has hefty minimum requirements for self-hosting

Console is a free weekly newsletter with short reviews of developer tools, covering strengths and tradeoffs. This review reflects Console’s assessment at publication on 2023-03-02. Features and limitations may have changed since the review date. Read our selection criteria and learn about Console.

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