markusschanta/awesome-jupyter 源码下载与部署教程

项目概述

A curated list of awesome Jupyter projects, libraries and resources

项目地址

https://github.com/markusschanta/awesome-jupyter

项目页面预览

关键指标

• Stars：4519
• 主要语言：
• License：Creative Commons Attribution Share Alike 4.0 International
• 最近更新：2026-01-14T23:58:00Z
• 默认分支：master

本站高速下载（国内可用）

点击下载（本站镜像）
– SHA256：ca07fc902138cd6f717d18ba66c4dc85c22235ada8f924a93e6890b2fcd60de7

安装部署要点（README 精选）

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.
• 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.
• Stencila – Native desktop notebook frontend.
• Visual Studio Code – Native desktop notebook frontend.
• voila – Notebooks as interactive standalone web applications.

常用命令（从 README 提取）

（未提取到命令块）

通用部署说明

1. 下载源码并阅读 README
2. 安装依赖（pip/npm/yarn 等）
3. 配置环境变量（API Key、模型路径、数据库等）
4. 启动服务并测试访问
5. 上线建议：Nginx 反代 + HTTPS + 进程守护（systemd / pm2）

免责声明与版权说明

本文仅做开源项目整理与教程索引，源码版权归原作者所有，请遵循对应 License 合规使用。