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CodeHS vs Google Colab

Both stand on code playground software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

CodeHS

Free plan AndroidiPhoneWeb

CodeHS pairs a broad course catalog with a browser editor and classroom management tools. Teachers can start with a permanent free plan; individual learners pay $99 a month or $990 a year for All Access.

Visit CodeHS

Google Colab

Free plan APIExtensionSelf-hosted+1

Colab combines browser-based Python notebooks, data imports, and optional AI coding assistance, with free compute that includes GPUs and TPUs. Consider variable free-tier availability, session limits, and generative AI data handling before choosing it.

Visit Google Colab

The facts

CodeHSGoogle Colab
Free planYesYes
Open sourceNot publishedNo
Runs onAndroid, iPhone, WebAPI, Extension, Self-hosted, Web
Lowest paid planIndividual Learner All Access (annual): $990 a yearFree or on request
Plans published97
MakerNot publishedNot published
Websitecodehs.comcolab.research.google.com
On code playground software#1 of 58#2 of 58

CodeHS: what it does well

  • Catalog offers more than 100 customizable courses.
  • Browser editor supports 10+ programming languages.
  • Classroom tools include autograders and code history.
  • Free teacher plan has no per-student fees.
  • Integrates with Google Classroom, Canvas, and Moodle.

What to know first

  • Free teacher plan does not include downloads.
  • Most integrations require a school license.
  • Individual learners receive no official grades or academic credit.

Google Colab: what it does well

  • Free plan includes compute, GPUs, and TPUs.
  • Notebooks support code, rich text, images, HTML, and LaTeX.
  • Colab AI can explain libraries and suggest code fixes.
  • Imports data from Drive, spreadsheets, and GitHub.
  • Available as a Visual Studio Code extension.

What to know first

  • Free notebook sessions run for at most 12 hours.
  • Free hardware access and usage limits vary.
  • Colab focuses on Python; other Jupyter kernels have no announced timeline.
  • Generative AI data may be retained for up to 18 months.

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