JDoodle vs JupyterHub

JDoodle is an online programming platform for learning, teaching and practicing code. Its browser IDE runs programs on JDoodle machines, so it requires no local IDE installation, and it supports 114 languages, frameworks and databases. The Compiler API provides REST for final results and WebSocket for streaming output and interactive programs; API and embedded submissions run with time and memory limits. Runnable IDEs can be embedded in websites, course materials and learning management systems using three lines of HTML. Education features include assignments, automated correction and grading, question types, roles and result disclosures. Mobile apps support writing and running code on iOS and Android phones and tablets. The free Chrome extension has no Firefox or Safari version. The Free platform plan does not expire and needs no credit card; it includes 1,000 executions per day and 100 saved projects. A separate API Free plan gives 20 credits per day and no internet access. Pro costs $15 a month, and Student costs $4 a month billed yearly (US$48 a year). Paid API tiers start at $10 a month.

JupyterHub gives groups access to computational environments without requiring each person to install and maintain one. It creates a separate Jupyter environment for each user, and starts, manages and proxies that user's notebook server. It can serve interfaces such as Jupyter Notebook, JupyterLab, RStudio and nteract, with authentication configured through pluggable options including OAuth and GitHub. Organizations can run it in the cloud or on their own hardware, including virtual machines or a laptop. The Littlest JupyterHub targets a small, single-server setup, while Zero to JupyterHub with Kubernetes is designed for larger cloud deployments and includes a Helm chart and deployment guide. The project describes JupyterHub as container-friendly and Kubernetes-compatible, with capacity for up to tens of thousands of users. Its REST API supports administration of the Hub, users and services. JupyterHub is open-source software released under a modified BSD license and is free to use. It supports Python, R, Julia and Scala, with ipynb notebooks, and is intended for classrooms, research groups and corporate data science teams.