Showing 36 of 106 projects
A Python library for automated exploratory data analysis (EDA) with high-density visualizations and target analysis in two lines of code.
A catalog of production-ready Jupyter Notebook templates organized by tools and following the IMO (Input, Model, Output) framework.
Tools for diffing and merging Jupyter notebooks in terminal and web interfaces.
A deep learning project using Keras to build convolutional and recurrent neural networks for high-accuracy captcha recognition.
A collection of beginner-friendly TensorFlow tutorials using Jupyter Notebook, covering deep learning fundamentals and practical applications.
A Jupyter Notebook kernel and interactive REPL for Go (golang) that enables interactive programming and data analysis.
An interactive data visualization tool that brings matplotlib graphics to the browser using D3.js.
An open-source Python library for low-code data preparation, offering fast EDA, data cleaning, and collection from APIs and databases.
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.
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.
A web-based collaborative platform for research, teaching, and scientific publishing with Jupyter Notebooks, Sage Worksheets, LaTeX, and real-time collaboration.
A collection of Jupyter notebooks for financial economics, providing high-level APIs to retrieve, analyze, and visualize economic data from sources like FRED.
A ranked list of 300+ awesome Jupyter Notebook, Hub, and Lab projects (extensions, kernels, tools) updated weekly.
Run Python linters and formatters like ruff, black, and mypy directly on Jupyter Notebooks.
A Go kernel for Jupyter notebooks that compiles each cell for fast execution and full Go compatibility.
An interactive visual interface for exploring and debugging black-box machine learning models without writing code.
A meta gem that bundles scientific computing and visualization libraries for Ruby, enabling data analysis and plotting.
A Python / Three.js bridge for creating interactive 3D visualizations in Jupyter notebooks.
A Google Colab notebook setup for high-performance hash cracking and penetration testing tools.
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
A curated list of tools, demos, and resources for scientific writing beyond LaTeX, including Markdown, Jupyter, and reference management.
A curated list of tools, demos, and resources for scientific writing beyond LaTeX, including Markdown, Jupyter, and reference management.
A Jupyter kernel for Clojure, enabling Clojure code execution in Jupyter Lab, Notebook, and Console.
A Python data-structure visualization tool for lists, dictionaries, trees, and call stacks, designed for Jupyter notebooks and presentations.
Generate cloud-native presentation slides from Jupyter Notebooks using customized Reveal.js templates.
A native macOS application for viewing Jupyter/IPython notebooks with Quick Look integration.
A Neovim plugin that provides real-time, bidirectional synchronization with Jupyter Notebook using Selenium automation.
A fast, interactive datagrid widget for Jupyter Notebook and JupyterLab with advanced features like selections, renderers, and conditional formatting.
A JupyterLab extension that breaks the linear presentation of notebooks by enabling sticky, floating cells for interactive dashboards.
A Jupyter widgets library for interactive 3-D mesh visualization and analysis with GPU-accelerated effects.
A high-performance matrix library for Elixir/Erlang with C and CBLAS backend, optimized for speed and large-scale operations.
An overlay companion for pandas that provides real-time hints and tips to improve data analysis code.
Visualize Python code execution line-by-line within Jupyter Notebook cells for debugging and educational purposes.
A pytest plugin that validates Jupyter notebooks by executing cells and comparing outputs to ensure consistency.
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