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Head-to-head · Notebook Software

Jupyter Notebook vs Datalore

Updated Oct 2026
Both researched from official sources
4 checks side by side

Higher score Jupyter Notebook #2 in Notebook Software 9.2/10 Free plan Free plan✓ 2 of 3 features Try Jupyter Notebook

Datalore #5 in Notebook Software 8.9/10 Free plan · 14-day trial Free planFree trial✓ 3 of 3 features Visit Datalore

Jupyter Notebook leads on 0 checks, Datalore 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 scoreJupyter Notebook · 9.2/10
Free planboth
Free trialonly Datalore
Most featuresDatalore · 3 of 3

Jupyter Notebook scores higher on our rubric for notebook software: 9.2 against 8.9 out of 10; our editors rank them #2 and #5.

On execution model, Datalore gives you Hybrid where Jupyter Notebook offers Local.

Jupyter Notebook is the better fit for general-purpose open notebook work. Datalore is the better fit for polyglot teams needing deployment options.

Jupyter Notebook fits best
General-purpose open notebook work
Datalore fits best
Polyglot teams needing deployment options

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Side by side

Show only differences

Feature	Jupyter Notebook 9.2/10 Visit ↗	Datalore 8.9/10 Visit ↗
At a glance
Editor score	9.2	8.9
Ranking	#2 in Notebook Software	#5 in Notebook Software
Best for	General-purpose open notebook work	Polyglot teams needing deployment options
Pricing model	Free	Free plan + paid
Starting price	Free plan	—
Free plan	✓	✓
Free trial	—	14 days
Deployment	Self-hosted	Cloud, Self-hosted
Platforms	Web	Web
Support	Community, Docs	Tickets, Community, Docs, Email
Built for	Solo, Small business, Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features Jupyter Notebook 2/3 · Datalore 3/3
Real-time collaboration	✓	✓
Version history	✓	✓
GPU compute	Not checked yet	✓ (best)
Specs
Execution model	Local	Hybrid
Supported languages	Python, R, Julia, Scala, and other community-maintained kernel languages	Python, SQL, R, Scala, Kotlin
Notebook formats	.ipynb JSON; export to HTML, Markdown, LaTeX/PDF, and reStructuredText	.ipynb, .datalore, .zip, .py, .kts, .scala, .r, .html
Our review
Pros	Free and open source with support for multiple programming languages Combines executable code, Markdown, equations, visualizations, and rich output Supports sharing, collaboration, checkpoints, and multiple export formats	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
Cons	Local execution requires installation and a configured runtime Language support depends on separate or community-maintained kernels GPU execution depends on the configured kernel or infrastructure	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
Our verdict	Jupyter Notebook is an open-source, browser-based application for creating and sharing computational documents. It is designed for people who need to combine executable code with explanatory text, equations, visualizations, and rich output… Read the review →	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 →

Jupyter NotebookNotebook Software 9.2Free plan
DataloreNotebook Software 8.9Free plan · 14-day trial

Compare the top tools in

Strengths and trade-offs

Jupyter Notebook — where it wins
- Free and open source with support for multiple programming languages
- Combines executable code, Markdown, equations, visualizations, and rich output
- Supports sharing, collaboration, checkpoints, and multiple export formats
Where it doesn't
- Local execution requires installation and a configured runtime
- Language support depends on separate or community-maintained kernels
- GPU execution depends on the configured kernel or infrastructure
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

Jupyter Notebook9.2/10 · Free plan
A flexible, free notebook environment for code, narrative, visualizations, and data-science work.
Try Jupyter Notebook Full verdict →
Datalore8.9/10 · Free plan · 14-day trial
A flexible notebook platform with collaboration, computation, reporting, and deployment options.
Visit Datalore Full verdict →

More comparisons

All notebook software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated 7 Oct 2026 · How we research and update