
Bootstrap
Materialize CSS
Semantic UI
UIKit
Tailwind CSS
Material UI
Bulma
The most advanced responsive front-end framework in the world

Apache Zeppelin
Saturn Cloud
Amazon SageMaker
Databricks Unified Analytics Platform
Azure Synapse Analytics
Google BigQuery
GeoSpock
A collaboration platform for data scientists

Which is more popular?
Based on our record, Deepnote should be more popular than Foundation. It has been mentioned 34 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | get.foundation | status.deepnote.com |
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What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Foundation and Deepnote. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


The reason I picked Foundation for this list is its strong emphasis on creating responsive designs, a feature that many developers value in the era of mobile browsing. This framework differentiates itself with an...
Semantic, coherent, and fully customizable, the Foundation empowers developers to create designs that are not only visually appealing but also adaptable to various screen sizes. Starting with small devices, developers...
Not only this, but they also have ‘Foundation for Emails’, which is a framework to code responsive HTML emails. Hence, whenever you are looking for an alternative to Bootstrap, do give Foundation a try.
Deepnote is a cloud-based data science notebook platform comparable to Jupyter Notebooks but with a focus on real-time collaboration and editing. It lets users write and run code in several programming languages, as...
Deepnote is a real-time collaborative notebook. It offers features like real-time collaboration, version control, and smart autocomplete. It also provides direct integrations with popular data sources like GitHub,...
Deepnote is a cloud-based, data science notebook platform that is similar to Jupyter Notebooks, but with a focus on collaboration and real-time editing. It allows users to write and execute code in a variety of...
Recommendations tracked on public social media and blogs since March 2021.


Foundation - The most advanced responsive front-end framework. - Source: dev.to / 7 months ago
Foundation is a mobile-first responsive front-end framework that provides a range of CSS and JavaScript components for creating websites quickly. It’s often seen as a competitor to Bootstrap, offering more flexibility and customization... - Source: dev.to / almost 2 years ago
Foundation: An easy-to-use, powerful, and flexible front-end framework for building web applications on any device. - Source: dev.to / almost 2 years ago
Thank you for the list - I think I've come across all of these in my research! I'll try highlight the differences for each. - https://noteable.io/ - as you say, it doesn't exist anymore - https://deepnote.com - I actually mentioned this... - Source: Hacker News / about 2 years ago
- https://deepnote.com -- also extensive AI integration and realtime collaboration. - Source: Hacker News / about 2 years ago
Deepnote - A new data science notebook. Jupyter is compatible with real-time collaboration and running in the cloud. The free tier includes unlimited personal projects, up to 750 hours of standard hardware, and teams with up to 3 editors. - Source: dev.to / over 2 years ago
When comparing Foundation and Deepnote, you can also consider the following products.

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A modern responsive front-end framework based on Material Design
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ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.
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A UI Component library implemented using a set of specifications designed around natural language
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Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
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