JupySQL brings a modern SQL experience to JupySQL: quickly run SQL code, syntax highlighting, autocompletion, formatting, plotting, one-click sharing, and more!
Hey, Hunters!
We're stoked to launch JupySQL today! JupySQL is an open-source library that brings a modern SQL experience to Jupyter! JupySQL is compatible with all major databases, such as Snowflake, Redshift, PostgreSQL, MySQL, MariaDB, DuckDB, SQL Server, Clickhouse, Trino, and more!
To get started, check out our tutorial: https://jupysql.ploomber.io/en/l...
SQL is the defacto language for data analysis; however, analysis often requires a mix of SQL and Python. JupySQL bridges this gap, allowing users to execute SQL queries seamlessly in Jupyter and continue their analysis in Python. Add %%sql to the top of your cell and start writing SQL!
Here are some of JupySQL's main features:
- Syntax highlighting
- Formatting
- Autocompletion
- A GUI for connection management
- 📊 Scalable plotting engine
- Integration with 🐼 pandas and 🐻❄️ polars
- ☁️ One-click sharing powered by Ploomber Cloud: https://ploomber.io/
📖 Check out our documentation: https://jupysql.ploomber.io
JupySQL
JupySQL