Head-to-head · Notebook Software
Datalore vs Paperspace Notebooks
Datalore leads on 0 checks, Paperspace Notebooks on 0, and 4 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 8.2 out of 10; our editors rank them #5 and #11.
On execution model, Datalore gives you Hybrid where Paperspace Notebooks offers Hosted.
Datalore is the better fit for polyglot teams needing deployment options. Paperspace Notebooks is the better fit for hosted notebooks with flexible GPU machines.
- Datalore fits best
Polyglot teams needing deployment options
- Paperspace Notebooks fits best
Hosted notebooks with flexible GPU machines
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Side by side
| Feature | Datalore 8.9/10 Visit ↗ | Paperspace Notebooks 8.2/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.9 | 8.2 |
| Ranking | #5 in Notebook Software | #11 in Notebook Software |
| Best for | Polyglot teams needing deployment options | Hosted notebooks with flexible GPU machines |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | — | $8/mo |
| Free plan | ✓ | ✓ |
| Free trial | 14 days | — |
| Deployment | Cloud, Self-hosted | Cloud |
| Platforms | Web | Web |
| Support | Tickets, Community, Docs, Email | Tickets, Docs |
| Compliance | SOC 2, GDPR, HIPAA | SOC 2, ISO 27001, PCI DSS |
| Built for | Solo, Small business, Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features Datalore 3/3 · Paperspace Notebooks 2/3 | ||
| Real-time collaboration | ✓ | ✓ |
| Version history | ✓ (best) | Not checked yet |
| GPU compute | ✓ | ✓ |
| Specs | ||
| Execution model | Hybrid | Hosted |
| Supported languages | Python, SQL, R, Scala, Kotlin | Python |
| Notebook formats | .ipynb, .datalore, .zip, .py, .kts, .scala, .r, .html | Jupyter files |
| Our review | ||
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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 → |
Paperspace Notebooks is a managed, browser-based Jupyter IDE for data exploration, machine-learning development, and model building. It supports Python and Jupyter files, with CPU, GPU, and multi-GPU machine selection. Users can start from… 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
Paperspace Notebooks — where it wins
- CPU, GPU, and multi-GPU machine selection
- Custom Docker runtimes, templates, and persistent shared storage
- Notebook sharing, permissions, datasets, APIs, CLI, and SDK support
Where it doesn't
- Free projects are public and include only 5GB of storage
- Compute usage can add separate hourly charges
- Some advanced capacity requires paid plans
- Datalore8.9/10 · Free plan · 14-day trial
A flexible notebook platform with collaboration, computation, reporting, and deployment options.
Visit DataloreFull verdict → - Paperspace Notebooks8.2/10 · Free plan
A flexible hosted notebook workspace with free access and paid capacity tiers.
Visit PaperspaceFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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