ggsql extends SQL with built-in visualization commands based on the Grammar of Graphics. Instead of running a SQL query, exporting the result, then coding a plot in Python or R, you can write something like: SELECT date, revenue, region FROM sales WHERE year = 2024 VISUALISE date AS x, revenue AS y, region AS color DRAW line SCALE x SETTING breaks => 'month' LABEL title => 'Sales by Region' That single statement retrieves data and defines a line chart showing monthly sales by region. You stay in SQL, avoid context switching, and produce a chart without writing separate plotting code. Under the hood, ggsql leans on the same composable ideas that made ggplot2 popular. You build up layers—data, scales, geoms—in a declarative way. The project compiles to WebAssembly, so you can drop it into a webpage or try it instantly in their online playground. At alpha stage, it already works with DuckDB and SQLite plus Vega-Lite outputs; next steps include adding more database connectors and export formats. Every piece of the syntax aims for clarity. Aliases like x, y, color tie directly back to SQL columns. SCALE and LABEL settings follow simple key-value patterns. That design also makes it easier for AI tools to generate valid queries you can inspect at a glance. If you live in SQL and need quick visuals, ggsql cuts out several steps.