Ready-to-run Docker images containing Jupyter applications
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Updated
Nov 17, 2024 - Python
Ready-to-run Docker images containing Jupyter applications
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
A generative AI extension for JupyterLab
Elyra extends JupyterLab with an AI centric approach.
A reactive Python kernel for Jupyter notebooks.
Interactive Canvas in Jupyter
Support for jupyter notebook templates in jupyterlab
An Extension for the Interactive development of Dash apps in JupyterLab
Data exploration glue
An extension to render cadquery objects in JupyterLab via pythreejs
Low-code Python library to safely use notebooks in production: schedule workflows, generate assets, trigger webhooks, send notifications, build pipelines, manage secrets (Cloud-only)
A web frontend for scheduling Jupyter notebook reports
Build dashboards in Jupyter Notebook with numeric and chart boxes
SQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Python values as parameters and assign output data to Python variables while concurrently running Python code. And *much* more.
Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events
A set of server components for JupyterLab and JupyterLab like applications
Sliders to control matplotlib and other interactive goodies. Works in any interactive backend and even uses ipywidgets when in a Jupyter notebook
Containerized and Script-controlled JupyterLab Project Environment
Cell-by-cell testing for production Jupyter notebooks in JupyterLab
Automatically version jupyter notebooks in JupyterLab
Add a description, image, and links to the jupyterlab topic page so that developers can more easily learn about it.
To associate your repository with the jupyterlab topic, visit your repo's landing page and select "manage topics."