A Jupyter kernel for Stata built on pystata
-
Updated
Nov 5, 2024 - Jupyter Notebook
A Jupyter kernel for Stata built on pystata
🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.
Integrated AI-enabled coding notebooks for Terarium
Xonsh jupyter kernel allows to run Xonsh shell code in Jupyter, JupyterLab, Euporia, etc.
A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across distributed clusters such as Apache Spark, Kubernetes and others.
a collection of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). 热门实用的Jupyter Notebook、Hub和Lab项目(扩展、内核、工具等)集合
Manage python virtual environments on the working notebook server
An OCaml kernel for Jupyter (IPython) notebook
This project has started to splinter into many topics including using Jupyter Notebooks, MyST Markdown, and Sphinx to document and publish technical documents; building a custom Jupyter kernel; and automated build environments.
Wolfram Language kernel for Jupyter notebooks
A Jupyter kernel for Dyalog APL
A 6502 assembly kernel for Jupyter Notebooks
Simple and hackable jupyter kernel for running c++ (c plus plus) codes inside a python notebook
This repo 📚 contains a `docker-compose.yml` file for running a Jupyter notebook 📓 server in a Docker container 🐳. Easily save your notebooks and conda environments 🐍 to your local machine for simple access and restoration. Say goodbye to dependency issues and installation headaches 🤕 and start using Jupyter now! 🚀
Roslyn based C# kernel for Jupyter Notebook
🐍 Juka Kernel for Jupyter Notebook and JupyterLab. Provides Interface between Juka and Jupyter. Juka must be installed separately
Cloud-native way to provide elastic Jupyter Notebooks on Kubernetes. Run remote kernels, natively.
Including various project using Jupyter Notebook
Add a description, image, and links to the jupyter-kernels topic page so that developers can more easily learn about it.
To associate your repository with the jupyter-kernels topic, visit your repo's landing page and select "manage topics."