sql-explorer

Why we included this project

Teams that work in SQL every day often end up building ad-hoc reporting scripts or paying for a heavy BI suite. This Django application sits in the middle: you can drop it into an existing Django project or run it on its own, and it connects to the usual databases (MySQL, Postgres, Oracle, SQLite, Snowflake, MS SQL Server, MariaDB) as well as uploaded CSV, JSON, or SQLite files. The query editor is the main surface, but the real time-savers are the surrounding features: scheduled snapshots of data that changes, parameterized queries that turn into simple forms for non-SQL colleagues, in-browser pivot tables and scatter plots, email delivery of results, and a JSON API for saved queries. The AI assistant is optional, so the reporting workflow works fine without an LLM key. For small teams that want self-hosted analytics without the overhead of a full BI platform, this is a straightforward choice.