Jupyter
Showing 36 of 44 projects
Python implementations of popular machine learning algorithms from scratch with interactive Jupyter demos and mathematical explanations.
An interactive visualization library for modern web browsers, built from Python.
A Python library for creating interactive ECharts visualizations with a concise API.
A composable, modular, and scalable machine learning toolkit for building AI platforms on Kubernetes.
An extensible, next-generation web-based interface for interactive computing and data science, based on the Jupyter Notebook architecture.
Generate comprehensive data quality profiling and exploratory data analysis reports for Pandas and Spark DataFrames with a single line of code.
An interactive analytics and data visualization component for large and streaming datasets, with a high-performance WebAssembly engine.
A declarative statistical visualization library for Python built on Vega-Lite.
A declarative statistical visualization library for Python built on Vega-Lite, enabling interactive charts with minimal code.
A Python package for customizing the appearance of Jupyter Notebooks with themes, fonts, and plotting styles.
A collection of ready-to-run Docker images containing Jupyter applications and interactive computing tools.
A collection of ready-to-run Docker images containing Jupyter applications and interactive computing tools.
A multi-user server that spawns, manages, and proxies multiple instances of single-user Jupyter notebook servers.
Convert Jupyter notebooks to and from plain text formats like Markdown, Python, Julia, or R scripts for better version control and editing.
A Python tool for parameterizing, executing, and analyzing Jupyter Notebooks at scale.
A Python progress bar with real-time throughput, ETA, cool animations, and unique features like pausing and skipping.
Voilà transforms Jupyter notebooks into secure, standalone web applications with interactive widgets.
Voilà converts Jupyter notebooks into secure, standalone web applications with interactive widgets.
A Python library for building interactive data exploration tools, dashboards, and complex web applications entirely in Python.
A Python library that automates data visualization and exploration for pandas dataframes in Jupyter notebooks.
A notebook-driven development platform that creates high-quality documentation, tests, CI, and packaging from Jupyter notebooks.
A curated collection of Python libraries, tutorials, and tools for data science, from data wrangling to machine learning and visualization.
A curated list of awesome Jupyter projects, libraries, and resources for data science and interactive computing.
A curated list of awesome Jupyter projects, libraries, and resources for data science and interactive computing.
A Rust drawing library for high-quality data plotting with support for both WASM and native applications.
An open-source tool for building publication-quality books and documents from computational content like Jupyter notebooks.
A cross-platform desktop application for JupyterLab, providing the easiest way to run Jupyter notebooks locally.
An open-source JupyterLab extension that connects AI agents to computational notebooks via the Agent Client Protocol.
Run code interactively, inspect data, and plot using Jupyter kernels directly inside the Atom text editor.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A Python package for interactive mapping and geospatial analysis with minimal coding in Jupyter notebooks.
Interactive 2-D plotting library for Jupyter notebooks using the Grammar of Graphics and widget-based components.
Interactive 2-D plotting library for Jupyter notebooks using the Grammar of Graphics and widget-based components.
The fastest way to build data pipelines with iterative development and deployment anywhere.
An easy-to-use blogging platform with enhanced support for Jupyter Notebooks, Word docs, and Markdown, powered by GitHub Actions.
A web-based IDE for machine learning and data science with pre-installed libraries and tools, deployable via Docker.
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