JupyterLab vs Datalore

JupyterLab9.1Visit Datalore8.9Visit

Higher score JupyterLab #3 in Notebook Software 9.1/10 Free plan Free plan✓ 2 of 3 features Visit JupyterLab

vs

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

• JupyterLab fits best

  Power users wanting a notebook IDE

• Datalore fits best

  Polyglot teams needing deployment options

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Side by side

Feature	JupyterLab 9.1/10 Visit ↗	Datalore 8.9/10 Visit ↗
At a glance
Editor score	9.1	8.9
Ranking	#3 in Notebook Software	#5 in Notebook Software
Best for	Power users wanting a notebook IDE	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, macOS, Linux	Web
Support	Docs	Tickets, Community, Docs, Email
Built for	Solo, Small business, Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features JupyterLab 2/3 · Datalore 3/3
Real-time collaboration	✓	✓
Version history	✓	✓
GPU compute	Not checked yet	✓ (best)
Specs
Execution model	Hybrid	Hybrid
Supported languages	Python, R, C++, Julia, GNU Octave, Ruby, Scheme	Python, SQL, R, Scala, Kotlin
Notebook formats	.ipynb; export to AsciiDoc, HTML, LaTeX, Markdown, PDF, reStructuredText, Python, and Reveal.js HTML	.ipynb, .datalore, .zip, .py, .kts, .scala, .r, .html
Our review
Pros	Free and open source with notebooks, kernels, terminals, and debugger Supports multiple languages and extensive notebook export formats Combines file browsing, consoles, terminals, and resizable panels	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	Real-time collaboration requires the jupyter_collaboration extension Local or server deployment is part of its operating model Broader IDE capabilities may exceed the needs of basic notebook users	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	JupyterLab is a free, open-source, web-based environment for creating and working with computational notebooks. It is designed for researchers, educators, developers, data scientists, and other users who need interactive computing, data… 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 →

Strengths and trade-offs

• JupyterLab — where it wins

  • Free and open source with notebooks, kernels, terminals, and debugger
  • Supports multiple languages and extensive notebook export formats
  • Combines file browsing, consoles, terminals, and resizable panels

  Where it doesn't

  • Real-time collaboration requires the jupyter_collaboration extension
  • Local or server deployment is part of its operating model
  • Broader IDE capabilities may exceed the needs of basic notebook users

• 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

• JupyterLab9.1/10 · Free plan

  A free, open-source notebook IDE with kernels, terminals, debugging, and extensions.

  Visit JupyterLabFull verdict →
• Datalore8.9/10 · Free plan · 14-day trial

  A flexible notebook platform with collaboration, computation, reporting, and deployment options.

  Visit DataloreFull verdict →