Deepnote
Dataki and Deepnote solve different halves of the problem
Deepnote is a collaborative data notebook with real-time editing and a strong Python story, aimed at data scientists. Dataki is not a notebook — it answers a plain-English question with SQL against your warehouse, charts it inline, and keeps the result as a live dashboard for people who will never open a code cell.
Why Dataki?
- Zero learning curve: Ask questions in plain English. No SQL or proprietary formula languages required.
- Instant dashboards: AI generates fully interactive, multi-layered dashboards in seconds.
- Designed for business teams AND data teams. Democratize analytics securely.
- Modern, beautiful default styling that you'll be proud to share to executives.
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Where Deepnote stands
What it does well
- Real-time collaborative notebooks
- First-class Python and data science tooling
- Reproducible compute environments
- Generous free tier for individuals
Where it gets in the way
- Python-centric workflow is a barrier for business users
- Sharing means sharing a notebook, not a maintained dashboard
- Dashboard and embedding capabilities are secondary to the notebook
- Little value for someone who only wants an answer
Try Dataki alongside Deepnote
Connect one data source on the free tier and ask it a question. It takes a few minutes, and dashboards you keep are free to share with as many people as you like.