awesome-jupyter

Declarative visualization library for Python, based on

A Python library that simplifies creating and publishing custom Jupyter widgets.

Interactive visualization library that targets modern web browsers for presentation.

Grammar of Graphics-based interactive plotting framework for Jupyter.

Interactive reports to analyze machine learning models during validation or production monitoring.

A familiar and high-level API for data exploration and visualization in Jupyter.

Low-code ETL extension for Jupyterlab.

Extension to organise and execute notebooks using cell tags.

A universal code formatter.

A visual debugger for Jupyter notebooks, consoles, and source files.

Extension that displays drawio/mxgraph diagrams.

A visual editor for creating and running notebook (or Python script) pipelines locally or remotely.

Multi-user collaboration and one-click deployment of models, notebooks, and dashboards.

Jupyter notebooks running in the cloud on Microsoft Azure.

Notebooks with 17 supported kernel types, course management, LaTeX document authoring, simultaneous document editing and integration with the SageMath computer algebra system.

DataBlogs is an open-source data journalism platform that converts Jupyter notebooks into published articles on the web.

Jupyter-backed data science notebooks with built-in collaboration and publishing functionality.

Jupyter-compatible data science and analytics notebook solution for team collaboration by JetBrains.

Library for working with maps and geospatial data, powered by web GIS.

Integrating Genomic Analysis with Interactive Notebooks.

Extension for exploratory geospatial analysis.

Create 2D and 3D games, graphics, live music and sound interactively in a Jupyter notebook.

Jupyter extension for visual exploration of large-scale geolocation data sets.

Data-structure visualization tool for lists of lists, lists, dictionaries.

Development environment with seamless data transmission from one language to another.

Hierarchical stacks of ready-to-run Jupyter applications in Docker.

Execute notebooks as experiments to capture and compare results over time.

Run code inline in Atom using Jupyter kernels.

Multi-user server for Jupyter.

JupyterLab is the next generation user interface for Jupyter.

Turn a GitHub repo into a collection of interactive notebooks.

Bookbook converts a set of notebooks in a directory to HTML or PDF, preserving cross references within and between notebooks.

JupyterHub extension to host authenticated scripts or notebooks in any framework (Voilà, Streamlit, Plotly Dash etc).

Store, version, edit and execute notebooks in sandboxes and integrate them directly via REST interfaces.

Build publication-quality books and documents from computational material.

NBConvert exporters for PDF/HTML export without code cells.

GUI Data Wrangling tool for Jupyter and pandas.

The power of ag-Grid in Jupyter.

Fast datagrid widget for Jupyter.

High performance, editable, stylable datagrids in Jupyter.

Interactive spreadsheets in Jupyter.

Pandas and Polars DataFrames rendered as interactive

Magic to display a function call graph.

Docker-based JupyterHub + LTI + nbgrader distribution for education.

A pygame-compatible reimplementation for Jupyter notebooks.

Practice Python with colored grids in Jupyter.

Google Drive for Jupyter.

Auto-grade a student assignment created as a Jupyter notebook and write the score in the Open edX gradebook.