Django SQL Dashboard

In plain words

Django SQL Dashboard is a development tool that allows developers to write and execute SQL queries against Django databases through a web interface. Launched in 2021, it integrates with Django projects to provide a dashboard for database exploration and querying. The tool is designed for developers who need to run ad-hoc SQL queries and visualize results without leaving their development environment.

written from the facts on this page · September 2026

From the sources

Django SQL Dashboard provides an authenticated interface for executing read-only SQL queries directly against your PostgreSQL database, bringing a useful subset of Datasette to Django. Applications include ad-hoc analysis and debugging, plus the creation of reporting dashboards that can be shared with team members or published online. See my blog for more about this project , including a video demofrom django-sql-dashboard.datasette.io

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  I have been working on SQL Explorer, an open source, Django-based reporting and query tool for (gulp!) almost ten years. It's a tool that fits just right for me and many others, and I love and use almost every day. Write SQL, share results, do some analysis, get insight. No surprises. A live demo instance is here (no login or anything required): https://demo.sqlexplorer.io/ And here's a fairly unprofessional, but very enthusiastic, video tour: https://sql-explorer.s3.amazonaws.com/Sql+Explorer+5.mp4 The UI is constrained enough that there's very little to learn,…

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  Django SQL Explorer2014 · github.com · ▲14

  SQL reporting that Just Works. Fast, simple, and confusion-free. Write and share queries in a delightful SQL editor, with AI assistance. - explorerhq/sql-explorer

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  SPyQL – SQL with Python in the middle2022 · github.com · ▲105

  SPyQL (https://github.com/dcmoura/spyql) is SQL with Python in the middle, an open-source project fully written in Python for making command-line data processing more intuitive, readable and powerful. Try mixing in the same pot: a SQL SELECT for providing the structure, Python expressions for defining transformations and conditions, the essence of awk as a data-processing language, and the JSON handling capabilities of jq. How does a SPyQL query looks like? $ spyql “ IMPORT pendulum AS p SELECT (p.now() - p.from_timestamp(purchase_ts)).in_days() AS days_ago, sum_agg(price…

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  Djaq provides a powerful, instant remote API to your Django models data2020 · github.com · ▲10

  Django queries. Contribute to paul-wolf/djaq development by creating an account on GitHub.

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