Hi HN! We’re Adam and Sean from Evidence (https://evidence.dev). We’re building a static site generator for data analysts. It’s like Jekyll or Hugo for SQL analysts.
In Evidence, pages are markdown documents. When you write SQL inside that markdown, the SQL runs against your database (we support BigQuery, Snowflake, and Postgres – with more to come). You can reference the results of those queries using a simple templating syntax, which you can use to inline query results into text or to generate report sections from a query. Evidence also includes a component library that lets you do things like add charts and graphs (driven by your queries) by writing declarative tags like:

How is it different? Most BI tools use a no-code drag-and-drop interface. Analysts click around to build their queries, set up their charts etc. and then they drag them into place onto a dashboard. To stick with the analogy, if Evidence is Hugo, most BI tools are Squarespace. BI tools are built that way because they assume that data analysts are non-technical. In our experience, that assumption is no longer correct. Data analysts increasingly want tools that let them adopt software engineering practices like version control, testing, and abstraction.

When everything is under version contro