Data School's comparison of Jupyter Notebook cloud services
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Six easy ways to run your Jupyter Notebook in the cloud
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BinderKaggle KernelsGoogle ColaboratoryMicrosoft Azure Notebooks
(free plan)
CoCalc
(free plan)
Datalore
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Which LANGUAGES are supported?Python 2/3, R, Julia, many othersPython 3, RPython 2/3, SwiftPython 2/3, R, F#Python 2/3, R, Julia, many othersPython 3
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Can you install additional PACKAGES?YesYesYesYesNo (but you can submit a request)Yes
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How similar to Jupyter is the INTERFACE?100%70%60%100%95%25%
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How similar to Jupyter are the KEYBOARD SHORTCUTS?100%100%30%100%95%10%
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Can you perform all actions with the MOUSE?YesNoNoYesYesNo
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Are there any MISSING FEATURES compared to Jupyter?NoCan't download notebooks into other useful formatsCan't download notebooks into other useful formatsNoNoCan't download notebooks into other useful formats, can't use interactive widgets, can't use IPython magics or shell commands, lacks full Markdown support
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Are there any ADDED FEATURES compared to Jupyter?NoCan selectively hide input/outputCan add form fields, automatic table of contentsMany extensions are pre-installed (including RISE for slideshows)All files are frequently backed, additional features for instructorsLive computation, cell dependency tracking, split view, context-aware code suggestions
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Is there integrated VERSION CONTROL?NoYes (limited functionality)Yes (limited functionality)NoYes (excellent functionality)Yes (excellent functionality)
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How much DATASET STORAGE is provided?None (store datasets in your repository instead)20 GB per datasetNo permanent storage (unless you link it to Google Drive)1 GB per project3 GB per project10 GB total
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Is it integrated with GITHUB?Run notebooks directly from GitHubNoImport a notebook from GitHubImport an entire GitHub repositoryNoNo
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Is INTERNET ACCESS provided?YesYesYesYesNoYes
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Can you keep your work PRIVATE?NoYesYesYesYesYes
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Can you keep your data ON-PREMISE?Only by using BinderHubNoNoNoOnly by using CoCalc Docker imageNo
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Can you share your notebook PUBLICLY via URL?YesYesYesYesYesNo
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Can you COLLABORATE with others on the same notebook?No (use GitHub pull requests instead)Yes (but you're only sharing a version history)Yes (but you're not sharing an environment, and it's not real-time)NoYes (in real-time)Yes (in real-time)
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How many CPU cores are provided?Unknown4 coresUnknownUnknown1 core2 cores
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How much RAM is provided?Up to 2 GB17 GBUnknown4 GB1 GB4 GB
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Is a GPU available?NoYesYesNoNoNo
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Can you pay to UPGRADE?NoNoNoYesYesNo (but coming soon)
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How substantial are the DOCS?ExtensiveAdequateMinimalExtensiveExtensiveMinimal
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What channels are available for SUPPORT?Gitter chat, Discourse forum, GitHub issuesContact form, forumGitHub issues, Stack OverflowGitHub issuesEmail, contact form, GitHub issuesDiscourse forum
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© 2019 Data School - Last updated 5/17/2019
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