The MariaDB Jupyter kernel
The MariaDB Jupyter Kernel lets you run MariaDB directly in Jupyter notebooks. Execute SQL, visualize results with magic commands, and integrate with Python for data analysis.
Last updated
Was this helpful?
The MariaDB Jupyter Kernel lets you run MariaDB directly in Jupyter notebooks. Execute SQL, visualize results with magic commands, and integrate with Python for data analysis.
The MariaDB Jupyter Kernel is an open-source Jupyter kernel that enables running MariaDB SQL directly in notebooks, with support for autocompletion, magic commands, and charting.
Release history for the MariaDB Jupyter Kernel, covering SQL autocompletion, code introspection, multi-notebook server management, and other fixes from v0.1.0 onward.
The MariaDB Jupyter Kernel reads connection settings from a JSON config file, supporting options for host, port, credentials, server binary paths, and auto-start behavior.
Contributing guide for the MariaDB Jupyter Kernel project, covering how to set up a development environment, run tests, format code, and add new magic commands.
Install the MariaDB Jupyter Kernel via pip using either a quick setup for existing environments or a complete Miniconda-based setup, with platform support notes for Linux and macOS.
MariaDB Jupyter Kernel architecture and component reference, describing how MariaDBKernel, MariaDBClient, CodeParser, MagicFactory, and related classes interact at runtime.
General usage information for the MariaDB Jupyter Kernel, including available features and magic commands.
This page is: Copyright © 2026 MariaDB. All rights reserved.
Last updated
Was this helpful?
Was this helpful?