sql-explorer
SQL reporting that Just Works. Fast, simple, and confusion-free. Write and share queries in a delightful SQL editor, with AI assistance.
Stars: 2730
SQL Explorer is a Django-based application that simplifies the flow of data between users by providing a user-friendly SQL editor to write and share queries. It supports multiple database connections, AI-powered SQL assistant, schema information access, query snapshots, in-browser statistics, parameterized queries, ad-hoc query running, email query results, and more. Users can upload and query JSON or CSV files, and the tool can connect to various SQL databases supported by Django. It aims for simplicity, stability, and ease of use, offering features like autocomplete, pivot tables, and query history logs.
README:
.. 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
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Official Website <https://www.sqlexplorer.io/>
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Live Demo <https://demo.sqlexplorer.io/>
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Documentation <https://django-sql-explorer.readthedocs.io/en/latest/>
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.. |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
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Included is a complete test project that you can use to kick the tires.
- Run
docker compose up
- Navigate to 127.0.0.1:8000/explorer/
- log in with admin/admin
- Begin exploring!
This 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:
- Support for multiple connections, admin configured or user-provided.
- Users can upload and immediately query JSON or CSV files.
- AI-powered SQL assistant
- Quick access to schema information to make querying easier (including autocomplete)
- Ability to snapshot queries on a regular schedule, capturing changing data
- Query history and logs
- Quick in-browser statistics, pivot tables, and scatter-plots (saving a trip to Excel for simple analyses)
- Parameterized queries that automatically generate a friendly UI for users who don't know SQL
- A playground area for quickly running ad-hoc queries
- Send query results via email
- Saved queries can be exposed as a quick-n-dirty JSON API if desired
- ...and more!
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
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