Alternatives to GitHub Codespaces

StackBlitz

StackBlitz suits JavaScript developers prototyping or conducting coding interviews in a browser.

Playcode

Playcode suits nontechnical users and teams building business websites, MVPs, client portals, dashboards, internal tools, or small full-stack apps.

Google Colab

Colab is aimed at students, data scientists, AI researchers, educators, and researchers who work primarily with Python notebooks.

Datalore

Datalore suits data science teams that want shared notebooks, database connections and report publishing.

The Free plan is described for students, researchers, and hobbyists; Pro for developers, researchers, and scientists; and Teams for research labs and small teams.

JDoodle

JDoodle suits students, teachers and developers who want browser-based coding or programming education tools.

Daytona

Daytona suits teams building AI agents or code-execution workflows that need isolated sandboxes and programmatic execution controls.

JupyterLab

JupyterLab suits people doing interactive, exploratory computing, including data science, scientific computing, computational journalism and machine learning.

Gradient suits people and groups developing or serving machine learning models, from individual engineers and researchers to teams and startups.

Coder

Coder suits development teams that want self-hosted workspaces on infrastructure they control.

Arduino Cloud Editor suits students, makers, and professional developers working with Arduino Cloud projects.

JupyterHub

JupyterHub suits classes, research labs and teams that want to provide individual computational environments from a shared deployment.

It suits developers, learners, teams, and teachers needing browser-based coding, shared workspaces, or managed teaching environments.

CodePen

CodePen suits front-end developers and people learning to code, as well as users working on prototypes, debugging, client review, hiring or portfolios.

Deepnote suits data professionals and teams who want collaborative notebooks, scheduled analysis, or dashboards and apps built from their work.

marimo

marimo suits data scientists, analysts, educators, AI and ML engineers, data engineers, and web developers who work with Python or SQL.

Scratch suits young people, especially ages 8 to 16, who want to learn programming through creative projects.

RunCode.io

It suits developers who want browser-based cloud workspaces, collaboration, or remote access from different devices.