JupySQL

JupySQL is a SQL client for Jupyter

114 followers

JupySQL is a SQL client for Jupyter

114 followers

JupySQL brings a modern SQL experience to JupySQL: quickly run SQL code, syntax highlighting, autocompletion, formatting, plotting, one-click sharing, and more!

Free

Launch tags:Open Source•Analytics•Data & Analytics

Launch Team

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JupySQL

Maker

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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

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2yr ago

Stared the repo. I hope there are tech blogs somewhere to explain the mechanisms behind this project, for example the `Plot massive datasets without blowing up memory` feature. Overall nice project!

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2yr ago

SprintsQ

JupySQL's modern SQL experience for Jupyter, with features like syntax highlighting and autocompletion, seems like a great advancement. Congratulations on the launch! How does JupySQL enhance the data analysis process, particularly for users who are new to SQL?

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2yr ago

Fantastic work @edublancas! It looks like the perfect way to manage your SQL queries in Jupyter. Wishing you continued success on your latest project!

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2yr ago

Congratulations on the launch of JupySQL! This is a fantastic addition to the Jupyter ecosystem. Bringing a modern SQL experience to Jupyter is a significant step forward for data professionals and enthusiasts alike. The ability to quickly run SQL code directly within Jupyter will undoubtedly streamline numerous workflows.

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2yr ago