https://github.com/ploomber/jupysql

Better SQL in Jupyter. 📊
https://github.com/ploomber/jupysql

bigquery clickhouse data-engineering data-science duckdb hive jupyter mysql polars postgres presto python redshift snowflake spark-sql sql sqlite trino tsql

Last synced: 4 months ago
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Better SQL in Jupyter. 📊

• Host: GitHub
• URL: https://github.com/ploomber/jupysql
• Owner: ploomber
• License: apache-2.0
• Fork: true (catherinedevlin/ipython-sql)
• Created: 2022-07-26T17:54:00.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2024-04-12T02:11:40.000Z (9 months ago)
• Last Synced: 2024-04-14T03:08:55.660Z (9 months ago)
• Topics: bigquery, clickhouse, data-engineering, data-science, duckdb, hive, jupyter, mysql, polars, postgres, presto, python, redshift, snowflake, spark-sql, sql, sqlite, trino, tsql
• Language: Python
• Homepage: https://jupysql.ploomber.io
• Size: 12.7 MB
• Stars: 588
• Watchers: 6
• Forks: 70
• Open Issues: 62
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Codeowners: .github/CODEOWNERS

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README

        
# JupySQL

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

## Features

- [Pandas integration](https://jupysql.ploomber.io/en/latest/integrations/pandas.html)

- [SQL composition (no more hard-to-debug CTEs!)](https://jupysql.ploomber.io/en/latest/compose.html)

- [Plot massive datasets without blowing up memory](https://jupysql.ploomber.io/en/latest/plot.html)

- [DuckDB integration](https://jupysql.ploomber.io/en/latest/integrations/duckdb.html)

## Installation

```

pip install jupysql

```

or:

```

conda install jupysql -c conda-forge

```

## Documentation

[Click here to see the documentation.](https://jupysql.ploomber.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.