Google Colab vs Observable

Updated November 2026 · AppBreakup editorial

Google Colab

Free hosted Jupyter notebooks from Google, with access to GPUs and TPUs.

Free plan + paid

Visit Google Colab Google Colab profile

Observable

Data visualisation platform with JavaScript notebooks, canvases and an open-source framework for data apps.

Free plan + paid

Visit Observable Observable profile

The short answer

Google Colab suits Python users, students and ML learners who want hosted Jupyter notebooks with free GPU and TPU access and nothing to install. Observable suits analysts and developers who build interactive charts and dashboards in JavaScript and want to publish them. The core difference is language and purpose: Colab is for running Python and training models, Observable for reactive data visualisation.

Google Colab or Observable: our take

Google Colab is a hosted Jupyter service. You open a notebook in the browser, run Python on Google's machines, and save it to Google Drive or load it from GitHub. Files use the standard .ipynb format, so they also open in Jupyter or other notebook tools. Observable comes from the team behind D3. Its notebooks mix JavaScript, SQL and Markdown cells that react to each other, so charts update as soon as data or inputs change. The company also makes Observable Plot, a charting library, Observable Canvases for visual exploration, and Observable Framework, a static site generator for dashboards and reports that can load data with any language on the back end.

What each gives away free is different. Colab's free tier includes GPUs and TPUs, though they are not guaranteed and sessions end after inactivity or long runtimes; paid plans and pay-as-you-go compute units add faster hardware and longer sessions, and Colab Enterprise runs on Google Cloud. Observable's hosted platform has a free tier for individuals and paid plans for teams that need private sharing, while Framework and Plot are open source under the ISC licence and can be used without the hosted service.

Each has weak spots. Colab's data has to be uploaded or mounted from Drive each session, and real-time collaboration is weaker than in team notebook tools. Observable is built around JavaScript, which can feel unfamiliar to Python-first data scientists, and its several separate products can be confusing at first.

Pick Colab for machine learning coursework, deep learning experiments and any Python analysis that needs a GPU. Pick Observable for interactive graphics, data journalism and dashboards you want to publish, especially if you already know D3 or JavaScript. A common split is to crunch data in Colab and build the published charts in Observable.

Choose Google Colab if…

Students and ML learners who want free GPU notebooks with nothing to install
Free access to GPUs and TPUs for learning and small experiments
No setup: runs entirely in the browser with a Google account

Choose Observable if…

Analysts and developers building interactive JavaScript charts and dashboards to share
You need macOS, which Google Colab doesn't list
Reactive notebooks where charts update as soon as inputs change
Made by the D3 team, with strong charting tools built in

What is Google Colab?

Google Colab (Colaboratory) is a hosted Jupyter notebook service: you open a notebook in the browser and run Python on Google's machines without installing anything. It is widely used for machine learning courses, tutorials and quick experiments because the free tier includes access to GPUs and TPUs, although those resources are not guaranteed and sessions are cut off after inactivity or long runtimes. Notebooks live in Google Drive, can be loaded from GitHub, and are shared like a Google Doc. Files use the standard .ipynb format, so you can download them and keep working in Jupyter or another notebook tool. Paid plans and pay-as-you-go compute units give faster hardware and longer sessions, and Colab Enterprise runs on Google Cloud for companies. It suits students, researchers and anyone who wants to try data science or deep learning code without setting up a local environment.

What is Observable?

Observable is a data analysis and visualisation platform from the team behind the D3 charting library. Its best-known product is the Observable notebook, where JavaScript, SQL and Markdown cells react to each other and charts update as data changes, which makes it popular for interactive graphics and data journalism. The company also makes Observable Canvases for exploring data visually, Observable Plot, a charting library, and Observable Framework, an open-source static site generator for dashboards and reports that can load data with any language on the back end. Framework and Plot are free under the ISC licence on GitHub; the hosted platform has a free tier for individuals and paid plans for teams that need private sharing and more control. It suits analysts, designers and developers who think in charts and want to publish them, while people who mainly work in Python may find Jupyter-style notebooks more familiar.

Side by side

Attribute	Google Colab	Observable
Pricing	Free plan + paid	Free plan + paid
Open source	No	No
Self-hostable	No	No
Platforms	Web	Web, macOS
Best for	Students and ML learners who want free GPU notebooks with nothing to install	Analysts and developers building interactive JavaScript charts and dashboards to share
Status	Active	Active