awesome-jupyter

awesome-jupyter

Jupyter生态系统的全面资源列表

这是一份全面的Jupyter生态系统资源列表,包括运行时环境、协作工具、可视化库、表格处理、渲染发布、版本控制等多个方面。列表还涵盖JupyterLab扩展、测试工具、特定领域项目和托管解决方案。该列表为数据科学家和开发者提供了充分利用Jupyter生态系统的参考资源。

Jupyter数据可视化交互式笔记本科学计算开源项目Github

Awesome Jupyter Awesome Hits

A curated list of awesome Jupyter projects, libraries and resources. Jupyter is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.

<div align="center" style="border-bottom: 0px;"> <br> <img width="400" src="assets/logo.png" alt="Jupyter logo"> <br> <br> </div>
<div align="center" style="border-bottom: 0px;"> <sub>Awesome Jupyter is proudly supported by our sponsor:</sub> <br> <br> <a href="https://deepnote.com/?utm_source=github&utm_medium=promo&utm_campaign=awesomejupyter"><img width="300" src="assets/deepnote.jpeg" alt="Deepnote logo"></a> <br> <br> <b>Deepnote is a collaborative data science notebook built for teams.</b> <div> <sub>Explore data with Python & SQL from your browser. Add context with data visualizations and rich text editing. Share your work by simply sending a link. <a href="https://deepnote.com/?utm_source=github&utm_medium=promo&utm_campaign=awesomejupyter">Check it out on the Deepnote free plan.</a></sub> </div> </div>

Contents

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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.
  • Guild AI - Execute notebooks as experiments to capture and compare results over time.
  • Hydrogen - Run code inline in Atom using Jupyter kernels.
  • Jupyter Notebook - Main Jupyter notebook runtime.
  • JupyterHub - Multi-user server for Jupyter.
  • JupyterLab - JupyterLab is the next generation user interface for Jupyter.
  • JupyterLab Desktop - A desktop application for JupyterLab, based on Electron.
  • JupyterWith - Nix-based framework for the definition of declarative and reproducible Jupyter environments.
  • kaggle/docker-python - Kaggle Python docker image that includes datasets and packages.
  • ML Workspace - Docker image that includes Jupyter(Lab) and various packages for data science/machine learning.
  • nteract - Native desktop notebook frontend. <!--lint disable double-link-->
  • Panel - Notebooks as static files or interactive and standalone server-/client-side (via pyodide) apps.
  • PaneLite - A distribution of JupyterLite that works with Panel and the HoloViz ecosystem. <!--lint enable double-link-->
  • Stencila - Native desktop notebook frontend.
  • Visual Studio Code - Native desktop notebook frontend.
  • voila - Notebooks as interactive standalone web applications.

Collaboration/Education

Visualization

  • Altair - Declarative visualization library for Python, based on Vega and Vega-Lite.
  • anywidget - A Python library that simplifies creating and publishing custom Jupyter widgets.
  • Bokeh - Interactive visualization library that targets modern web browsers for presentation.
  • bqplot - Grammar of Graphics-based interactive plotting framework for Jupyter.
  • Evidently - Interactive reports to analyze machine learning models during validation or production monitoring.
  • hvplot - A familiar and high-level API for data exploration and visualization in Jupyter.
  • ipychart - Interactive Chart.js plots in Jupyter.
  • ipycytoscape - Widget for interactive graph visualization in Jupyter using cytoscape.js. <!--lint disable double-link-->
  • ipydagred3 - ipywidgets library for drawing directed acyclic graphs in jupyterlab using dagre-d3. <!--lint enable double-link-->
  • ipyleaflet - Interactive visualization library for Leaflet.js maps in Jupyter notebooks.
  • IPySigma - Prototype network visualization frontend for Jupyter notebooks.
  • ipytree - Tree UI element for Jupyter.
  • ipyvizzu - Animated data storytelling tool.
  • ipyvolume - 3D plotting for Python in Jupyter based on widgets and WebGL.
  • ipywebrtc - Video/Audio streaming in Jupyter. <!--lint disable double-link-->
  • ipywidgets - UI widgets for Jupyter. <!--lint enable double-link-->
  • itk-jupyter-widgets - Interactive widgets to visualize images in 2D and 3D.
  • jp_doodle - Infrastructure for building special purpose interactive diagrams in 2D and 3D.
  • jupyter-gmaps - Interactive visualization library for Google Maps in Jupyter notebooks.
  • jupyter-manim - Display manim (Mathematical Animation Engine) videos or GIFs in Jupyter notebooks.
  • lux - Recommends a set of visualizations whenever a dataframe is printed in a notebook.
  • mpld3 - Combining Matplotlib and D3js for interactive data visualizations.
  • pd-replicator - Copy a pandas DataFrame to the clipboard with one click.
  • Perspective - Data visualization and analytics component, especially for large/streaming datasets.
  • pyecharts - Python interface for the ECharts visualization library.
  • pythreejs - Python / ThreeJS bridge utilizing the Jupyter widget infrastructure.
  • tqdm - Fast, extensible progress bar for loops and iterables.
  • tributary - Python data streams with Jupyter support.
  • xleaflet - C++ Backend for ipyleaflet.
  • xwebrtc - C++ Backend for ipywebrtc.
  • xwidgets - C++ Backend for ipywidgets.

Tables

  • buckaroo - GUI Data Wrangling tool for Jupyter and pandas.
  • ipyaggrid - The power of ag-Grid in Jupyter.
  • ipydatagrid - Fast datagrid widget for Jupyter.
  • ipyregulartable - High performance, editable, stylable datagrids in Jupyter.
  • ipysheet - Interactive spreadsheets in Jupyter.
  • ITables - Pandas and Polars DataFrames rendered as interactive datatables-net tables.
  • Qgrid - Interactive grid for sorting, filtering, and editing DataFrames in Jupyter.

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.
  • ContainDS Dashboards - JupyterHub extension to host authenticated scripts or notebooks in any framework (Voilà, Streamlit, Plotly Dash etc).
  • Ganimede - Store, version, edit and execute notebooks in sandboxes and integrate them directly via REST interfaces.
  • Jupyter Book - Build publication-quality books and documents from computational material.
  • jupyterlab_nbconvert_nocode - NBConvert exporters for PDF/HTML export without code cells.
  • Jupytext - Convert and synchronize notebooks with text formats (e.g. Python or Markdown files) that work well under version control.
  • jut - CLI to nicely display notebooks in the terminal.
  • Kapitsa - CLI to search local Jupyter notebooks.
  • Mercury - Convert notebooks into web applications.
  • nbconvert - Convert notebooks to other formats.
  • nbdev - Develop, package and distribute Python packages to PyPI using Jupyter as a Literate Programing environment.
  • nbflow - One-button reproducible workflows with Jupyter and Scons.
  • nbinteract - Create interactive webpages from Jupyter notebooks.
  • nbscan - Search for and print cells contents of Jupyter notebooks.
  • Nikola - Static Site Generator that converts notebooks into websites.
  • notedown - Convert Jupyter notebooks to markdown (and back).
  • Papermill - Tool for parameterizing, executing, and analyzing Jupyter notebooks.
  • Ploomber - Run a collection of notebooks and scripts in a reproducible manner using a pipeline.yaml file.
  • pynb - Jupyter Notebooks as plain Python code with embedded Markdown text.
  • RISE - Reveal.js Jupyter/IPython Slideshow.
  • rst2ipynb - Convert standalone reStructuredText files to Jupyter notebook file.
  • Voila - Rendering of live Jupyter Notebooks with interactive widgets, allowing dashboarding based on Jupyter Notebooks.

Version Control

  • databooks - A command-line utility that eases versioning and sharing of notebooks.
  • git - Extension for git integration.
  • jupyter-nbrequirements - Dependency management and optimization in Jupyter Notebooks.
  • nbdime - Tools for diffing and merging of Jupyter notebooks.
  • nbQA - Run any standard Python code quality tool on a Jupyter Notebook, from the command-line or via pre-commit.
  • Neptune - Version, manage and share notebook checkpoints in your projects.
  • ReviewNB - Code reviews for Jupyter Notebooks.

JupyterLab Extensions

  • amphi-etl - Low-code ETL extension for Jupyterlab.
  • celltags - Extension to organise and execute notebooks using cell tags.
  • code_formatter - A universal code formatter.
  • debugger - A visual debugger for Jupyter notebooks, consoles, and source files.
  • drawio - Extension that displays drawio/mxgraph diagrams.
  • elyra - A visual editor for creating and running notebook (or Python script) pipelines locally or remotely.
  • genv - Extension for managing GPU environments in JupyterLab.

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