Software Alternatives, Accelerators & Startups

Keras VS Tailwind CSS

Compare Keras VS Tailwind CSS and see what are their differences

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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.

Tailwind CSS logo Tailwind CSS

A utility-first CSS framework for rapidly building custom user interfaces.
  • Keras Landing page
    Landing page //
    2023-10-16
  • Tailwind CSS Landing page
    Landing page //
    2023-05-13

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.

Tailwind CSS features and specs

  • Utility-First Approach
    Tailwind CSS uses a utility-first approach, promoting the use of small, reusable utility classes to style elements directly in your markup. This can lead to more readable and maintainable HTML.
  • Customization
    The framework is highly customizable. You can easily configure its default theme, add your extensions, and create custom utilities. Tailwind’s config file allows for deep customization of all aspects of the framework.
  • Consistent Design
    Using utility classes ensures design consistency because the same classes will apply the same styles globally.
  • Responsive Design
    Tailwind CSS has excellent built-in support for responsive design. You can easily apply different styles for different screen sizes using responsive utility variants.
  • Performance
    Tailwind purges unused CSS in production, resulting in smaller final output files and improved performance.
  • Integrates Well with Frameworks
    Tailwind CSS integrates smoothly with modern JavaScript frameworks like React, Vue, and Angular.
  • JIT Compiler
    The Just-in-Time (JIT) mode in Tailwind CSS generates styles on-demand, reducing the development build sizes and speeding up the development process.

Possible disadvantages of Tailwind CSS

  • Steep Learning Curve
    For developers coming from traditional CSS or other CSS frameworks, getting used to Tailwind's utility-first approach may take some time.
  • HTML Congestion
    Due to the utility-first approach, HTML files can get filled with numerous utility classes, making it look cluttered and harder to read.
  • Initial Setup
    Setting up Tailwind CSS initially can be complex, especially for beginners. Configuration settings and integrations with build tools can be confusing.
  • Verbosity
    Some developers find the inline utility classes verbose, particularly when complex styles are required, which can lead to bloated template files.
  • Limited Abstractions
    Tailwind doesn't provide higher-level abstractions such as components out of the box, like other frameworks (e.g., Bootstrap) do. Developers need to build and maintain these abstractions themselves.
  • Dependency Tailoring
    While Tailwind aims to be minimalistic, it may enforce some dependencies or build tool integrations that could be unnecessary for very simple projects.

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

Tailwind CSS videos

Why I Don't Like Tailwind CSS

More videos:

  • Review - Vanilla CSS vs Bootstrap vs Tailwind CSS - Which one should you choose?
  • Review - Get Started with Tailwind CSS in 15 Minutes

Category Popularity

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

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...

Tailwind CSS Reviews

  1. Awesome framework

    I use it in all my current projects. It's easy to start and very customisable. Love it so much! I improved the speed of development 2x times by using Tailwind.


22 Best Bootstrap Alternatives & What Each Is Best For
Tailwind CSS comes with features such as responsive design, customizability, hover, focus, and active states out of the box. These enable developers to build sophisticated, interactive interfaces with ease. When it comes to integrations, Tailwind CSS can be integrated with popular front-end frameworks like React, Vue, and Angular, enhancing its utility across different...
Source: thectoclub.com
15 Top Bootstrap Alternatives For Frontend Developers in 2024
If you want to learn the valuable skill of Tailwind CSS, we highly recommend taking the "Tailwind CSS From Scratch" course by Brad Traversy on Udemy. In this introductory course, you will build great-looking layouts quickly and efficiently using Tailwind CSS utility classes.
Source: coursesity.com
10 Best Free React UI Libraries in 2023
TailwindCSS is a utility-first CSS framework designed to build modern and beautiful websites in no time. Here, utility class names define what to do. Each utility class comes with pre-defined CSS properties.
11 Best Material UI Alternatives
Tailwind CSS promotes a modular approach to styling, where devs can combine classes to create unique and responsive designs. It offers utilities for layout, typography, colors, spacing, and more, allowing developers to create consistent and visually appealing interfaces with minimal effort.
Source: www.uxpin.com
Top 10 Best CSS Frameworks for Front-End Developers in 2022
Tailwind enables faster development of the front-end. Instead of a default theme or built-in UI components, you’d get pre-designed widget menus and utility classes to build your website. Tailwind has modular components, and if you make changes in one place, other parts of your code won’t get impacted. Tailwind requires the least amount of learning and is easy to use. You can...
Source: hackr.io

Social recommendations and mentions

Based on our record, Tailwind CSS seems to be a lot more popular than Keras. While we know about 1015 links to Tailwind CSS, 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.

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 / 24 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
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Tailwind CSS mentions (1015)

  • How to add markdown to a Next.js project
    This article assumes the reader is a developer that knows their way around Markdown, TypeScript, React.js, and [Next.js] https://nextjs.org/). Familiarity with Tailwind-css would also be useful. - Source: dev.to / about 7 hours ago
  • SonicScan - A Music Fingerprinting and Identification App
    Then I learned Tauri and used my favourite frontend framework SolidJS with TailwindCSS and DaisyUI to build the UI with MotionOne to add animations and Tauri to build the desktop/web/android/ios app. - Source: dev.to / 1 day ago
  • Top 5 Free React UI Libraries to Use in 2025
    Shadcn/ui contains a set of beautifully designed and accessible components, and it works seamlessly with major React frameworks. It’s open-source and has amassed 85.5k (and counting) GitHub stars. It’s built on the shoulders of giants — Radix UI and Tailwind CSS, making it one of the best to work with. Unlike many other UI libraries, the components are not just installed as npm modules, they’re downloaded into... - Source: dev.to / 23 days ago
  • Tailwind vs Linaria: Performance Investigation
    We're going to investigate the difference in performance between Tailwind and Linaria. Tailwind, you already know. And Linaria has been getting quite a lot of traction since styled components went into maintenance mode recently. We'll cover why Linaria is a good choice for this comparison a bit further. - Source: dev.to / 29 days ago
  • How to Integrate Tailwind with 11ty – With Code Examples
    It is a well-known fact that Tailwind CSS is a utility-first CSS framework. It lets you style elements directly within your HTML, thanks to pre-defined classes. Unlike other CSS frameworks that offer pre-built components, Tailwind offers these low-level utility classes that let you create your own design system. Thus, this makes crafting unique responsive designs effortless as there is not much to do with custom CSS. - Source: dev.to / about 1 month ago
View more

What are some alternatives?

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

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.

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

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.

React - A JavaScript library for building user interfaces