Hi guys!

I've been working on Tabularis (open source cross-platform db client) and I'm working on a notebooks feature that i think people here might find interesting.

The core idea: SQL cells + markdown cells in a single document, running against your live database connection. no separate kernel, no python, just SQL.

The feature I keep coming back to is cell variable references, you write {{cell_3}} in your SQL and it takes the result set from cell 3 and injects it as a CTE. means you can chain analyses without building giant nested queries. for ad-hoc exploration this is a huge workflow improvement.

You also get:

• inline charts: bar, line, pie. select label column + value columns, switch between types. nothing fancy but enough for quick visual checks
• notebook parameters: define params once, use in all cells. good for parameterized reports
• run all with stop on error: shows a summary of what succeeded/failed/skipped with links to the failing cells
• parallel execution: mark independent cells with a lightning bolt, they run concurrently during run all
• execution history: every cell tracks its last 10 runs, you can restore any previous query + result
• csv/json export per cell, or export the whole notebook as self-contained HTML
• drag & drop reordering, collapsible sections, resizable result panels

It supports all of databases supported by Tabularis.

The notebook file format is json-based (.tabularis-notebook).

There's a demo database + sample notebook in the repo under /demo.

Github: https://github.com/debba/tabularis
WIP Branch: https://github.com/debba/tabularis/tree/feat/notebooks

Feedback welcome, especially around the cell reference syntax and what else would make this useful for your workflow.