Google Colab Alternatives 2026: 5 Free Options

Google Colab alternatives: Kaggle Notebooks, JupyterLab, marimo, Deepnote and 1 more. Prices and licenses checked October 25, 2026.

•3 min read•Code Editors, IDEs & Playgrounds

Editorial illustration: Google Colab Alternatives 2026: 5 Free Options

Verdict:Leave Colab if its unpublished free-tier limits, idle disconnects or compute-unit billing are interrupting real work. Colab's FAQ says the free tier has no guaranteed compute units and that runtimes last up to 12 hours depending on availability, while Colab Pro's flexible plan is $9.99 a month for 100 compute units. Kaggle is the nearest free swap for machine-learning work, since its docs describe a weekly GPU quota of about 30 hours, though sessions and storage are tied to its platform. JupyterLab on your own computer removes limits entirely if you own a decent GPU; if you do not, the work simply moves to a server you must rent. Marimo is worth trying if you dislike hidden notebook state, because cells re-run reactively and the file is plain Python. Deepnote targets teams who share analysis, with a free plan for three editors but no GPU on that tier. VS Code is the practical choice for developers who want notebooks plus a debugger and Git. The trade-off is simple: Colab gives free hosted GPUs with zero setup, and every alternative either has a quota, needs hardware, or needs paying. For learning and prototypes, use Kaggle first and keep Colab as a backup.

Quick comparison

ToolPricePlatformsBest forTested
Kaggle NotebooksFree (Free; weekly GPU quota of about 30 hours (sometimes higher), sessions up to 9 hours)WebFree GPU notebooks for ML practiceDocs only
JupyterLabFree (Free and open source)Windows, macOS, Linux, Self-hostedNotebooks on your own machineDocs only
marimoFree (Free and open source; hosted service molab exists)Windows, macOS, Linux, WebReproducible notebooks in GitDocs only
DeepnoteFree (Free plan: up to 3 editors, 5 projects, Basic machines (5 GB RAM, 2 vCPU), 7-day revision history, limited AI); paid from $39 per editor per month (Team, billed yearly)WebTeam notebooks and shared analysisDocs only
Visual Studio CodeFree (for private or commercial use per Microsoft's FAQ)Windows, macOS, Linux, WebNotebooks inside a full IDEDocs only
Lightning AIFree (Free plan lists up to 30 credits and up to 80 free GPU hours to start, with 1 active Studio that restarts every 4 hours); paid from $20 per month, Pro billed annually ($50 billed monthly)WebDeveloper ToolsDocs only

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Good fit if

  • You want free GPU hours for machine-learning practice (Kaggle Notebooks is the pick)
  • You own hardware and want no session limits (JupyterLab is the pick)
  • You want notebooks that live cleanly in Git (marimo is the pick)
  • Your team shares analysis notebooks (Deepnote is the pick)

Not ideal if

  • You rely on Google Colab features or integrations that these tools do not replicate

Google Colab today: Free (Free tier has no guaranteed compute units; usage limits are not published, notebooks run up to 12 hours depending on availability, T4 GPUs subject to quota); paid from $9.99 per month (Colab Pro, flexible plan, 100 compute units) (Google Colab pricing, checked 2026-10-22).

Why people look for Google Colab alternatives

Colab's free tier is not guaranteed: notebooks can run for at most 12 hours depending on availability, runtimes time out when idle, and the GPU or TPU you get varies over time. Colab does not publish its usage limits because they fluctuate. Background execution is reserved for higher plans, and running SSH shells or distributed workers on free runtimes can end a session without warning.

Kaggle Notebooks

Compared with Google Colab: Free notebooks with GPU time, with a weekly quota Kaggle's docs put at 30 hours or sometimes more. Sessions are shorter and tied to Kaggle datasets, but you get GPUs without paying Colab Pro.

Price: Free (Free; weekly GPU quota of about 30 hours (sometimes higher), sessions up to 9 hours) (Kaggle Notebooks pricing, checked 2026-10-22).

Platforms and license: Web. Proprietary hosted service.

Best for: Free GPU notebooks for ML practice.

JupyterLab

Compared with Google Colab: BSD-3-Clause and free on your own hardware, with no session timeouts or hosted limits. You supply the compute, so you lose Colab's free cloud GPU and one-click sharing.

Price: Free (Free and open source) (JupyterLab pricing, checked 2026-10-22).

Platforms and license: Windows, macOS, Linux, Self-hosted. BSD-3-Clause (open source).

Project activity: 15.4k GitHub stars · latest release v4.6.4 (Sep 21, 2026) · last commit Oct 27, 2026

Best for: Notebooks on your own machine.

Worth knowing: You supply the compute; no GPUs come with it.

marimo

Compared with Google Colab: Apache-2.0 reactive Python notebooks stored as plain .py files, runnable locally or in the browser. Different model from Colab's cell order, and you bring your own GPU or use its hosted service.

Price: Free (Free and open source; hosted service molab exists) (marimo pricing, checked 2026-10-22).

Platforms and license: Windows, macOS, Linux, Web. Apache-2.0 (open source).

Project activity: 23.3k GitHub stars · latest release 0.25.2 (Oct 19, 2026) · last commit Oct 27, 2026

Best for: Reproducible notebooks in Git.

Worth knowing: Notebooks are stored as plain Python files and run reactively.

Deepnote

Compared with Google Colab: Free plan allows 3 editors and 5 projects on Basic machines with 5 GB RAM, aimed at collaboration. Free tier lists no GPU, so heavy training still needs a paid or other option.

Price: Free (Free plan: up to 3 editors, 5 projects, Basic machines (5 GB RAM, 2 vCPU), 7-day revision history, limited AI); paid from $39 per editor per month (Team, billed yearly) (Deepnote pricing, checked 2026-10-22).

Platforms and license: Web. Proprietary hosted service.

Best for: Team notebooks and shared analysis.

Visual Studio Code

Compared with Google Colab: Free editor that runs Jupyter notebooks on local or remote machines. You gain a full IDE and Git, and lose Colab's hosted runtime and free GPU unless you connect one.

Price: Free (for private or commercial use per Microsoft's FAQ) (Visual Studio Code pricing, checked 2026-10-22).

Platforms and license: Windows, macOS, Linux, Web. Microsoft product license (source in the MIT-licensed Code - OSS repository).

Best for: Notebooks inside a full IDE.

Worth knowing: The downloadable product is under a Microsoft license; the MIT license covers the separate Code - OSS repository.

Lightning AI

Compared with Google Colab: Free plan lists up to 30 credits and up to 80 free GPU hours to start, with 1 active Studio restarting every 4 hours. Pro is $20 a month billed annually ($50 monthly) and removes restarts.

Price: Free (Free plan lists up to 30 credits and up to 80 free GPU hours to start, with 1 active Studio that restarts every 4 hours); paid from $20 per month, Pro billed annually ($50 billed monthly) (Lightning AI pricing, checked 2026-10-25).

Which one to pick

  • You want free GPU hours for machine-learning practice: Kaggle Notebooks
  • You own hardware and want no session limits: JupyterLab
  • You want notebooks that live cleanly in Git: marimo
  • Your team shares analysis notebooks: Deepnote

Limits of this review

Docs-only for Kaggle Notebooks, JupyterLab, marimo, Deepnote, Visual Studio Code: we did not install or run them, so feature claims come from vendor pages and we did not test import from Google Colab. Vendor prices and free limits change; confirm on the linked pricing page before you buy or migrate.

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Sources

Kevin Fan

Kevin Fan is a SaaS founder. He runs Free Instead Of, which tracks free and open-source alternatives to paid software and checks each price and free-plan limit against the vendor's own pages.

Methodology

Based on official pricing and product pages checked between 2026-10-22 and 2026-10-25: Google Colab, Kaggle Notebooks, JupyterLab, marimo, Deepnote, Visual Studio Code, Lightning AI. Prices, free limits and licenses are the figures shown on those pages on those dates. No tool on this page was installed or run. No accounts were created.

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