Software Alternatives, Accelerators & Startups

Bootstrap VS Keras

Compare Bootstrap VS Keras and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Bootstrap logo Bootstrap

Simple and flexible HTML, CSS, and JS for popular UI components and interactions

Keras logo Keras

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
  • Bootstrap Landing page
    Landing page //
    2023-04-22
  • Keras Landing page
    Landing page //
    2023-10-16

Bootstrap features and specs

  • Responsive Design
    Bootstrap's grid system ensures that webpages are responsive and adapt to different screen sizes seamlessly.
  • Pre-designed Components
    Bootstrap comes with a variety of pre-designed components like buttons, forms, modals, and navigation bars that streamline the development process.
  • Cross-browser Compatibility
    Bootstrap ensures that your website will function correctly across different browsers, reducing the time spent on debugging issues related to browser inconsistencies.
  • Extensive Documentation
    The documentation is comprehensive and well-organized, making it easier for developers to understand and implement Bootstrap features quickly.
  • Community Support
    With a large and active community, finding help and resources related to Bootstrap development is relatively easy.
  • Customizable
    Bootstrap allows you to customize the default styles and components using Sass variables, making it adaptable to any project needs.
  • CDN Support
    Bootstrap can be included via Content Delivery Networks (CDN), which can help to speed up the initial load time of your web pages.

Possible disadvantages of Bootstrap

  • Uniform Look
    Websites built with Bootstrap often look similar because many developers use the default styles and components without customization.
  • Overhead
    Including the entire Bootstrap library can add unnecessary weight to your project if you only use a small fraction of its features.
  • Learning Curve
    For beginners, the extensive set of features and classes can be overwhelming and take some time to learn.
  • Dependency on jQuery
    Older versions of Bootstrap heavily rely on jQuery, which can be a disadvantage for projects that aim to minimize dependencies.
  • Specific Structure
    Bootstrap works best when you adhere to its predefined structure and classes, which can limit flexibility for more complex or unique designs.
  • Customization Challenges
    Deep customization can be difficult and time-consuming, especially if you need to override many default styles and behaviors.
  • Performance Issues
    Using a large number of Bootstrap components can lead to performance issues, particularly on lower-end devices.

Keras features and specs

  • User-Friendly
    Keras provides a simple and intuitive interface, making it easy for beginners to start building and training models without needing extensive experience in deep learning.
  • Modularity
    Keras follows a modular design, allowing users to easily plug in different neural network components, such as layers, activation functions, and optimizers, to create complex models.
  • Pre-trained Models
    Keras includes a wide range of pre-trained models and offers easy integration with transfer learning techniques, reducing the time required to achieve good results on new tasks.
  • Integration with TensorFlow
    As part of TensorFlow’s ecosystem, Keras provides deep integration with TensorFlow functionalities, enabling users to leverage TensorFlow's powerful features and performance optimizations.
  • Extensive Documentation
    Keras has comprehensive and well-organized documentation, along with numerous tutorials and code examples, making it easier for developers to learn and use the framework.
  • Community Support
    Keras benefits from a large and active community, which provides support through forums, GitHub, and specialized user groups, facilitating the resolution of issues and sharing of best practices.

Possible disadvantages of Keras

  • Performance Limitations
    Due to its high-level abstraction, Keras may incur performance overheads, making it less suitable for scenarios requiring extremely fast execution and low-level optimizations.
  • Limited Low-Level Control
    The simplicity and abstraction of Keras can be a downside for advanced users who need fine-grained control over model components and custom operations, which may require them to resort to lower-level frameworks.
  • Scalability Issues
    In some complex applications and large-scale deployments, Keras might face scalability challenges, where more specialized or low-level frameworks could handle such tasks more efficiently.
  • Dependency on TensorFlow
    While the integration with TensorFlow is generally an advantage, it also means that the performance and features of Keras are closely tied to the development and updates of TensorFlow.
  • Lagging Behind Latest Research
    Keras, being a user-friendly high-level API, might not always incorporate the latest cutting-edge research advancements in deep learning as quickly as more research-oriented frameworks.

Bootstrap videos

Is Bootstrap Still Worth It? -- 1 Design, 2 Code Bases.

More videos:

  • Review - BOOTSTRAP Review | Best CSS Library ?
  • Review - Should you use Bootstrap?

Keras videos

3. Deep Learning Tutorial (Tensorflow2.0, Keras & Python) - Movie Review Classification

More videos:

  • Review - Movie Review Classifier in Keras | Deep Learning | Binary Classifier
  • Review - EKOR KERAS!! Review and Bike Check DARTMOOR HORNET 2018 // MTB Indonesia

Category Popularity

0-100% (relative to Bootstrap and Keras)
Developer Tools
100 100%
0% 0
Data Science And Machine Learning
Design Tools
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Bootstrap and Keras

Bootstrap Reviews

22 Best Bootstrap Alternatives & What Each Is Best For
Bootstrap alternatives are a suite of different tools and frameworks that web developers and designers employ for creating dynamic, responsive websites and applications. These tools, like Bootstrap itself, offer pre-written code for different elements of a website - from typography and buttons to navigation bars and image carousels - but each has its unique features and...
Source: thectoclub.com
15 Top Bootstrap Alternatives For Frontend Developers in 2024
UIKit is a modular front-end framework like Bootstrap and a Bootstrap competitor designed to develop fast and powerful web interfaces. You can utilize it with HTML or JavaScript based on your preference. It offers built-in support for right-to-left languages and includes an extensive library of components. This framework like Bootstrap provides a convenient solution for...
Source: coursesity.com
9 Best Bootstrap Alternatives | Best Frontend Frameworks [2024]
The only downside it has as compared to Bootstrap and Foundation is it is only a CSS framework, which means no JavaScript. So you will have to write your own JavaScript or Jquery to toggle your dropdowns or perform other basic interactionhttps://bulma.io/s of the sort. Overall it is a great alternative to Bootstrap, which is also being updated very frequently.
Source: hackr.io
Top 10 Best CSS Frameworks for Front-End Developers in 2022
Bootstrap is one of the most popular CSS frameworks globally and received instant popularity because of its responsive design. It was also the first framework that gave priority to mobile devices. With Bootstrap, there is no need for a separate design for mobile viewing. You just need to add the necessary classes, and the website will adapt to the screen size based on the...
Source: hackr.io
15 Best CSS Frameworks: Professional Bootstrap and Foundation Alternatives
This is why Bootstrap is by far the most popular framework on the market. All developers have heard of Bootstrap, and more than 80% of them say they are happy using it.

Keras Reviews

10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
15 data science tools to consider using in 2021
Keras is a programming interface that enables data scientists to more easily access and use the TensorFlow machine learning platform. It's an open source deep learning API and framework written in Python that runs on top of TensorFlow and is now integrated into that platform. Keras previously supported multiple back ends but was tied exclusively to TensorFlow starting with...

Social recommendations and mentions

Based on our record, Bootstrap seems to be a lot more popular than Keras. While we know about 363 links to Bootstrap, we've tracked only 35 mentions of Keras. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Bootstrap mentions (363)

  • Have I Been Pwned 2.0 is Now Live
    Not in the so distant past, when Bootstrapped themes were becoming the face of the Internet, a new framework came to town — TailwindCSS. The smart thing they did was introduced the framework with a few brilliant template and a lot of styled components. I bought the initial copy and does a lot of people. Those templates, TailwindUI.com (now TailwindCSS.com/plus)[1] became the gradien-y, dark-ish, glow-y design you... - Source: Hacker News / 6 days ago
  • How to Build a Blog with Laravel (& Send Slack Notifications)
    This will show the posts passed from the controller in a row of cards. Please notice that you are linking to Bootstrap’s CDN for easy styling. If there are no posts, a message on a card saying that there are no posts will be shown. - Source: dev.to / about 1 month ago
  • Overengineered Anchor Links
    Yeah, good point. It's kinda common to have a big footer. Examples: https://getbootstrap.com/, https://stake.us/ (casino) That way on desktop you could get away with a 50vh margin under the content and then another 50vh for the footer. - Source: Hacker News / about 2 months ago
  • The 3 Best Python Frameworks To Build UIs for AI Apps
    FastHTML allows developers to build modern web applications entirely in Python without touching JavaScript or React. As its name implies, it is quicker to begin with FastHTML. However, it does not have pre-built UI components and styling. Getting the best out of this framework requires the knowledge of HTMX and UI styling using CSS libraries like Tailwind and Bootstrap. - Source: dev.to / 2 months ago
  • Tailwind CSS vs. Bootstrap: Which Framework is Better for Your Project?
    Bootstrap is one of the oldest and most established CSS frameworks, originally developed by Twitter in 2011. It takes a component-based approach to web development, providing a comprehensive collection of ready-to-use UI elements and prebuilt components. - Source: dev.to / 2 months ago
View more

Keras mentions (35)

  • Top Programming Languages for AI Development in 2025
    The unchallenged leader in AI development is still Python. And Keras, and robust community support. - Source: dev.to / 26 days ago
  • Top 8 OpenSource Tools for AI Startups
    If you need simplicity, Keras is a great high-level API built on top of TensorFlow. It lets you quickly prototype neural networks without worrying about low-level implementations. Keras is perfect for getting those first models up and running—an essential part of the startup hustle. - Source: dev.to / 7 months ago
  • Top 5 Production-Ready Open Source AI Libraries for Engineering Teams
    At its heart is TensorFlow Core, which provides low-level APIs for building custom models and performing computations using tensors (multi-dimensional arrays). It has a high-level API, Keras, which simplifies the process of building machine learning models. It also has a large community, where you can share ideas, contribute, and get help if you are stuck. - Source: dev.to / 8 months ago
  • Using Google Magika to build an AI-powered file type detector
    The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 12 months ago
  • My Favorite DevTools to Build AI/ML Applications!
    As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / about 1 year ago
View more

What are some alternatives?

When comparing Bootstrap and Keras, you can also consider the following products

Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Materialize CSS - A modern responsive front-end framework based on Material Design

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Bulma - Bulma is an open source CSS framework based on Flexbox and built with Sass. It's 100% responsive, fully modular, and available for free.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.