-awesome-jupyter
github.com/eric-erki/-awesome-jupyter ↗A curated list of awesome Jupyter projects, libraries and resources
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me visualization resources from -awesome-jupyter"
Installation instructions →What's inside
Visualization
- Altair
Declarative visualization library for Python, based on
- Bokeh
Interactive visualization library that targets modern web browsers for presentation.
- bqplot
Grammar of Graphics-based interactive plotting framework for Jupyter.
- ipyleaflet
Interactive visualization library for Leaflet.js maps in Jupyter notebooks.
- ipysheet
Interactive spreadsheets in Jupyter.
- IPySigma
Prototype network visualization frontend for Jupyter notebooks.
Hosted Notebook Solutions
- Anaconda Enterprise
Multi-user collaboration and one-click deployment of models, notebooks, and dashboards.
- Azure Notebooks
Jupyter notebooks running in the cloud on Microsoft Azure.
- CoCalc
Notebooks with 17 supported kernel types, course management, LaTeX document authoring, simultaneous document editing and integration with the SageMath computer algebra system.
- DataScience.com
Platform for enterprise data science.
- Deepnote
Jupyter-compatible data science notebook with real-time collaboration, versioning and easy deployment.
- Domino Data Lab
Data science platform with integrated collaboration tools, environment management and compute grid.
Domain-Specific Projects
- ArcGIS
Library for working with maps and geospatial data, powered by web GIS.
- GenePattern Notebook
Integrating Genomic Analysis with Interactive Notebooks.
- GeoNotebook
Extension for exploratory geospatial analysis.
- lolviz
Data-structure visualization tool for lists of lists, lists, dictionaries.
- Quantopian Notebooks
Jupyter-based platform for financial research.
- vpython-jupyter
VPython 3D engine running in a Jupyter notebook.
Runtimes/Frontends
- Beaker
Development environment with seamless data transmission from one language to another.
- docker-stacks
Hierarchical stacks of ready-to-run Jupyter applications in Docker.
- Hydrogen
Run code inline in Atom using Jupyter kernels.
- JupyterHub
Multi-user server for Jupyter.
- JupyterLab
JupyterLab is the next generation user interface for Jupyter.
- Jupyter Notebook
Main Jupyter notebook runtime.
Rendering/Publishing/Conversion
- Binder
Turn a GitHub repo into a collection of interactive notebooks.
- Bookbook
Bookbook converts a set of notebooks in a directory to HTML or PDF, preserving cross references within and between notebooks.
- Jupytext
Edit, refactor and version control Jupyter Notebooks represented as scripts or Markdown documents.
- nbconvert
Convert Notebooks to other formats.
- nbdime
Tools for diffing and merging of Jupyter notebooks.
- nbflow
One-button reproducible workflows with Jupyter and Scons.
Collaboration/Education
- callgraph
Magic to display a function call graph.
- IPythonBlocks
Practice Python with colored grids in Jupyter.
- jupyter-drive
Google drive for Jupyter.
- jupyter-edx-grader-xblock
Auto-grade a student assignment created as a Jupyter notebook and write the score in the Open edX gradebook.
- jupyter-viewer-xblock
Fetch and display part of, or an entire Jupyter Notebook in an Open edX XBlock.
- LTI Launch JupyterHub Authenticator
Authentication via Edx.
JupyterLab Extensions
- celltags
Extension to organise and execute notebooks using cell tags.
- code_formatter
A universal code formatter.
- drawio
Extension that displays drawio/mxgraph diagrams.
- git
Extension for git integration.
- google-drive
Extension for Google Drive integration.
- go-to-definition
Extension for navigating to the definition of a variable or function in JupyterLab.
Articles/Guides/Tutorials
- Exploratory computing with Python
Collection of notebooks covering scientific computing.
- Gallery of Jupyter notebooks I
- Gallery of Jupyter notebooks II
- Install and run a Jupyter notebook in a Google Cloud Dataproc cluster
- Interactive Web Plotting with Bokeh
- JupyterLab - Your Personal Data Science Workbench
Talk about JupyterLab at Full Stack Quants London.
Showing a sample of 130 resources. View the full list on GitHub →