Showing 36 of 115 projects
Interactive HTML widgets for Jupyter notebooks, enabling dynamic data exploration and visualization.
An engine and API for running .NET and other languages interactively in notebooks, REPLs, and embedded coding experiences.
A catalog of production-ready Jupyter Notebook templates organized by tools and following the IMO (Input, Model, Output) framework.
An open-source, AI-first data notebook that extends Jupyter with a sleek UI, reactive execution, and native data integrations.
A Python library that lets you annotate data with visualization semantics, allowing your data to visualize itself.
Tools for diffing and merging Jupyter notebooks in terminal and web interfaces.
A command-line tool for creating reproducible, container-based development environments for AI/ML workflows.
3D plotting for Python in Jupyter notebooks using WebGL and IPython widgets.
A native R kernel for Jupyter notebooks, enabling R programming within the Jupyter ecosystem.
A JupyterLab extension for version control using Git, enabling Git operations directly within the JupyterLab interface.
Interactive maps in Jupyter notebooks using Leaflet.js with Python bindings.
A system for assigning and grading Jupyter notebooks, with extensions for instructors and students.
Jupyter magics and kernels for interactively working with remote Spark clusters via Livy, Lighter, or Ilum.
A visual debugger for TensorFlow with breakpoints and real-time data visualization during neural network training.
A web-based collaborative platform for research, teaching, and scientific publishing with Jupyter Notebooks, Sage Worksheets, LaTeX, and real-time collaboration.
A library for evaluating TensorFlow models on large datasets with distributed computation and slicing analysis.
A Python library for parallel active learning of mathematical functions, intelligently sampling parameter spaces to minimize evaluations.
A ranked list of 300+ awesome Jupyter Notebook, Hub, and Lab projects (extensions, kernels, tools) updated weekly.
A Python library that adds dynamic data aggregation to Plotly figures for scalable visualization of large time series.
A Neovim plugin for interactively running code with Jupyter kernels, providing a REPL and notebook-like experience directly in the editor.
A Jupyter notebook extension for interactive geospatial visualization and analysis.
A Go kernel for Jupyter notebooks that compiles each cell for fast execution and full Go compatibility.
Vim-style keyboard shortcuts for notebook cells in JupyterLab, enabling modal editing with command and insert modes.
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
Display Pandas and Polars DataFrames as interactive, sortable, and searchable DataTables in Jupyter notebooks and Python applications.
A Ruby kernel for Jupyter notebooks, enabling interactive data science and computational workflows in Ruby.
Convert IPython/Jupyter notebooks to markdown and back, enabling seamless editing of notebooks as markdown files.
An open-source cross-platform symbolic algebra library for C# and F# that solves equations, differentiates, integrates, and more.
A collection of tutorials and resources to help developers learn JAX, Flax, and Haiku for machine learning.
A native macOS application for viewing Jupyter/IPython notebooks with Quick Look integration.
A Nix-based framework for creating declarative and reproducible Jupyter environments with configurable kernels and extensions.
A Table of Contents extension for JupyterLab that auto-generates clickable headings from notebooks and markdown documents.
A JupyterLab extension for visualizing GPU usage dashboards directly within the JupyterLab interface.
A Python interface for interactive web-based visualization of multidimensional images, point sets, and geometry in Jupyter notebooks.
A tutorial series comparing how to implement data science concepts and build applications in both Python and R ecosystems.
Jupyter widget helpers for ROS, enabling interactive robotics development in notebooks.
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