Metadata-Version: 2.1
Name: jupysql
Version: 0.5.2
Summary: Better SQL in Jupyter
Home-page: https://github.com/ploomber/jupysql
Author: Ploomber
Author-email: contact@ploomber.io
License: MIT
Project-URL: Source, https://github.com/ploomber/jupysql
Keywords: database ipython postgresql mysql
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Database
Classifier: Topic :: Database :: Front-Ends
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: prettytable (<1)
Requires-Dist: ipython (>=1.0)
Requires-Dist: sqlalchemy (<2.0,>=0.6.7)
Requires-Dist: sqlparse
Requires-Dist: ipython-genutils (>=0.1.0)
Requires-Dist: jinja2
Requires-Dist: ploomber-core (>=0.1.*)
Requires-Dist: importlib-metadata ; python_version < "3.8"
Provides-Extra: dev
Requires-Dist: pytest ; extra == 'dev'
Requires-Dist: pandas ; extra == 'dev'
Requires-Dist: invoke ; extra == 'dev'
Requires-Dist: pkgmt ; extra == 'dev'
Requires-Dist: twine ; extra == 'dev'
Requires-Dist: duckdb ; extra == 'dev'
Requires-Dist: duckdb-engine ; extra == 'dev'
Requires-Dist: matplotlib ; extra == 'dev'

# JupySQL

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

Run SQL in Jupyter/IPython via a `%sql` and `%%sql` magics.

## Features

- [Pandas integration](https://jupysql.readthedocs.io/en/latest/pandas.html)
- [SQL composition (no more hard-to-debug CTEs!)](https://jupysql.readthedocs.io/en/latest/compose.html)
- [Plot massive datasets without blowing up memory](https://jupysql.readthedocs.io/en/latest/plot-large.html)
- [DuckDB integration](https://jupysql.readthedocs.io/en/latest/duckdb.html)

## Installation

```
pip install jupysql
```

## Documentation

[Click here to see the documentation.](https://jupysql.readthedocs.io)


## Credits

This project is a fork of [ipython-sql](https://github.com/catherinedevlin/ipython-sql); the objective is to turn this project into a full-featured SQL client for Jupyter. We're looking for feedback and taking feature requests, so please [join our community](https://ploomber.io/community) and enter the #jupysql channel.
