Google Colab Alternative Without Login: Run Python Free

A Google Colab alternative for quick Python runs

OnlineCompiler.io runs Python with pandas, NumPy, Matplotlib, seaborn and scikit-learn already installed, with no sign-in and nothing to set up. It is not a notebook and has no GPU, so it suits quick runs, exercises and sharing code, while Colab suits long notebook work and deep learning.

By the OnlineCompiler.io team. Updated 10 November 2026. We make OnlineCompiler.io, so we're one of the options here. Every competitor figure links to the vendor's own page, and we say where our API falls short.

When this fits better

You want to run something now. Open the page, paste the code and press Run. No account, no notebook to create, nothing to install.
A school account blocks Colab. Google's own post says Colab is off by default for K-12 Workspace for Education customers, and admins need parental consent before turning it on for under-18 users. This site needs no account at all.
You're on a phone or a Chromebook. It is a web page with an editor and a Run button.
You want to share code. A share link opens the code, ready to run, for 90 days, with no account.
You teach or build a site. The same editor can be embedded in your pages, and the API runs and grades data answers for a course or practice site.

When Colab fits better

GPUs and deep learning. There is no GPU here, and PyTorch and TensorFlow are not installed.
Notebook state. Colab keeps variables between cells; here each run starts fresh and runs one script from top to bottom.
Installing packages. Colab can pip install; here the package list is fixed and there is no network.
Long or heavy work. A run here gets 30 seconds and 512 MB of memory (up to 2 GB on Pro and Business). Colab's FAQ says free notebooks can run for up to 12 hours, though it does not publish its limits and says they fluctuate.

Side by side

	OnlineCompiler.io	Google Colab (free)
Sign-in	None	Notebooks run under a Google account and live in Google Drive
Format	One script per run, with input	Notebook with cells and saved state
GPU	No	Yes, when available
pandas, NumPy, Matplotlib, scikit-learn	Installed	Installed
Install other packages	No	Yes, with `pip`
Time per run	30 seconds; 512 MB, up to 2 GB through the API on Pro and Business	Up to 12 hours per notebook; limits not published
Your data	Paste a CSV into the Input tab, up to 100 KB, or send up to 1 MB of files through the API	Upload files or mount Google Drive
Share	Link that runs the code, 90 days, no account	Share the notebook from Drive
Embed in a web page	Yes, script or iframe	No
Grade answers through an API	Yes, run-tests	No

For schools and classes

Students run code in any browser with no accounts, so nobody needs a Google account or an admin to switch on a service. A teacher who wants answers checked can use the online compiler with test cases, and course platforms can grade through the autograder API. Colab's AI features need a Google account aged 18 or over, according to its FAQ; this site has no AI features to restrict.

Try it

import seaborn as sns

penguins = sns.load_dataset("penguins").dropna()
print(penguins.groupby("species")[["bill_length_mm", "body_mass_g"]].mean().round(1))

Press Run and it prints the average bill length and body mass of each penguin species:

Output

           bill_length_mm  body_mass_g
species
Adelie               38.8       3706.2
Chinstrap            48.8       3733.1
Gentoo               47.6       5092.4

More for data work: the pandas, Matplotlib and machine learning online compilers.

Frequently asked questions

Is it free?

Yes. Running code on the site needs no account and shows no ads. Running it from your own app or site through the API is free up to 100,000 runs a month, commercial use included.

Do I need a Google account?

No. There is no sign-in of any kind to run code. An account is only needed to save code to it; a share link works without one.

Can I open an .ipynb notebook?

Not as a notebook. Each run executes one script from top to bottom, so paste the code cells one after another into the editor and run them together. Charts from plt.show() appear under the output.

Is there a GPU?

No. Runs use CPUs only, and PyTorch and TensorFlow are not installed. For deep learning, Colab or Kaggle notebooks are the right tool.

Can I save my work?

Yes, two ways. Share gives a link that anyone can open and run for 90 days, with no account. Save keeps the code in a free account until you delete it.