Head-to-head · Notebook Software
Datalore vs marimo
Datalore leads on 1 check, marimo on 0, and 3 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreDatalore · 8.9/10
- Free planboth
- Free trialonly Datalore
- Most featuresDatalore · 3 of 3
Datalore scores higher on our rubric for notebook software: 8.9 against 8.5 out of 10; our editors rank them #5 and #8.
Datalore offers version history; marimo doesn't.
Datalore is the better fit for polyglot teams needing deployment options. marimo is the better fit for git-friendly reactive Python notebooks.
- Datalore fits best
Polyglot teams needing deployment options
- marimo fits best
Git-friendly reactive Python notebooks
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Side by side
| Feature | Datalore 8.9/10 Visit ↗ | marimo 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.9 | 8.5 |
| Ranking | #5 in Notebook Software | #8 in Notebook Software |
| Best for | Polyglot teams needing deployment options | Git-friendly reactive Python notebooks |
| Pricing model | Free plan + paid | Free |
| Starting price | — | Free plan |
| Free plan | ✓ | ✓ |
| Free trial | 14 days | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Tickets, Community, Docs, Email | Email, Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features Datalore 3/3 · marimo 1/3 | ||
| Real-time collaboration | ✓ (best) | Not checked yet |
| Version history | ✓ (best) | — |
| GPU compute | ✓ | ✓ |
| Specs | ||
| Execution model | Hybrid | Hybrid |
| Supported languages | Python, SQL, R, Scala, Kotlin | Python, SQL |
| Notebook formats | .ipynb, .datalore, .zip, .py, .kts, .scala, .r, .html | Python (.py), Jupyter Notebook (.ipynb), HTML, PDF, Markdown |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Datalore is a collaborative data science notebook platform from JetBrains for teams working across analysis, reporting, and shared notebook workflows. It supports Python, SQL, R, Scala, and Kotlin, with database connections, SQL cells, CPU… Read the review → |
marimo is a free, open-source notebook environment for Python and SQL workflows. It is designed for developers, data scientists, ML engineers, researchers, educators, and analysts who need reproducible and shareable computational work. Its… Read the review → |
Strengths and trade-offs
Datalore — where it wins
- Supports Python, SQL, R, Scala, and Kotlin notebooks
- Combines real-time collaboration, version history, and shared workspaces
- Offers cloud, API, and self-hosted deployment options
Where it doesn't
- Cloud Free excludes notebook version history
- GPU access is limited to paid Cloud computation and configurable On-Premises deployments
- The Cloud plan is listed without a separate plan price or distinct published entry
marimo — where it wins
- Reactive execution updates dependent cells automatically.
- Python-file notebooks fit Git-based workflows.
- Supports widgets, SQL, exports, scripts, and web applications.
Where it doesn't
- No version history is listed in the category specifications.
- Real-time collaboration is not part of the published positioning.
- The product is focused on Python and SQL workflows.
- Datalore8.9/10 · Free plan · 14-day trial
A flexible notebook platform with collaboration, computation, reporting, and deployment options.
Visit DataloreFull verdict → - marimo8.5/10 · Free plan
A free, Git-friendly Python and SQL notebook with reactive execution and broad integrations.
Visit marimoFull verdict →
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All notebook software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





