SQL Reporting that Just Works. Fast, simple, and confusion-free.Write and share queries in a delightful SQL editor, with AI assistance
.. image:: https://readthedocs.org/projects/django-sql-explorer/badge/?version=latest :target: https://django-sql-explorer.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status
.. image:: http://img.shields.io/pypi/v/django-sql-explorer.svg?style=flat-square :target: https://pypi.python.org/pypi/django-sql-explorer/ :alt: Latest Version
.. image:: http://img.shields.io/pypi/dm/django-sql-explorer.svg?style=flat-square :target: https://pypi.python.org/pypi/django-sql-explorer/ :alt: Downloads
.. image:: http://img.shields.io/pypi/l/django-sql-explorer.svg?style=flat-square :target: https://pypi.python.org/pypi/django-sql-explorer/ :alt: License
Official Website <https://www.sqlexplorer.io/>_Live Demo <https://demo.sqlexplorer.io/>_Documentation <https://django-sql-explorer.readthedocs.io/en/latest/>_.. |inline-image| image:: https://sql-explorer.s3.amazonaws.com/video-thumbnail.png :target: https://sql-explorer.s3.amazonaws.com/Sql+Explorer+5.mp4 :height: 10em
|inline-image|
Included is a complete test project that you can use to kick the tires.
docker compose upThis will also run a Vite dev server with hot reloading for front-end changes.
SQL Explorer aims to make the flow of data between people fast,
simple, and confusion-free. It is a Django-based application that you
can add to an existing Django site, or use as a standalone business
intelligence tool. It will happily connect to any SQL database that
Django supports <https://docs.djangoproject.com/en/5.0/ref/databases/>_
as well as user-uploaded CSV, JSON, or SQLite databases.
Quickly write and share SQL queries in a simple, usable SQL editor, view the results in the browser, and keep the information flowing.
Add an OpenAI (or other provider) API key and get an LLM-powered SQL assistant that can help write and debug queries. The assistant will automatically add relevant context and schema into the underlying LLM prompt.
SQL Explorer values simplicity, intuitive use, unobtrusiveness, stability, and the principle of least surprise. The project is MIT licensed, and pull requests are welcome.
Some key features include:
Writing a query and viewing the schema helper
.. image:: https://sql-explorer.s3.amazonaws.com/5.0-query-with-schema.png
Using the SQL AI Assistant
.. image:: https://sql-explorer.s3.amazonaws.com/5.0-assistant.png
Viewing all queries
.. image:: https://sql-explorer.s3.amazonaws.com/5.0-query-list.png
Query results w/ stats summary
.. image:: https://sql-explorer.s3.amazonaws.com/5.0-query-results.png
Pivot in browser
.. image:: https://sql-explorer.s3.amazonaws.com/5.0-pivot.png
View logs
.. image:: https://sql-explorer.s3.amazonaws.com/5.0-querylogs.png
FAQs
SQL Reporting that Just Works. Fast, simple, and confusion-free.Write and share queries in a delightful SQL editor, with AI assistance
We found that django-sql-explorer demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.