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Keras VS React Native

Compare Keras VS React Native 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.

React Native logo React Native

A framework for building native apps with React
  • Keras Landing page
    Landing page //
    2023-10-16
  • React Native Landing page
    Landing page //
    2022-10-16

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.

React Native features and specs

  • Cross-platform development
    React Native allows developers to write code once and use it to build applications for both iOS and Android platforms, significantly reducing development time and effort.
  • Performance
    React Native uses native components under the hood, providing better performance compared to hybrid technologies like Cordova or Ionic.
  • Community support
    React Native has a large and active community, which means plenty of libraries, tools, and support are available to help developers solve problems and add features.
  • Hot reloading
    React Native supports hot reloading, enabling developers to see the results of the latest change instantly without losing the application's state.
  • Reusable components
    Developers can use React Native's component-based architecture to create reusable UI components, making code more modular and easier to maintain.
  • Strong backing
    Backed by Facebook, React Native benefits from continuous development, regular updates, and a high level of reliability and stability.

Possible disadvantages of React Native

  • Complexity for advanced features
    Implementing complex features and achieving deep integrations with native APIs may require more effort and a good understanding of native programming.
  • Performance limitations
    While React Native performs well for most use cases, it may still fall short in performance-intensive applications compared to fully native solutions.
  • Limited third-party libraries
    Some third-party libraries might not be available for React Native, or they may lack features compared to their native counterparts.
  • Platform-specific code
    Despite being cross-platform, certain features might still require platform-specific code, increasing the complexity when developing for both iOS and Android.
  • Potential for outdated documentation
    As React Native evolves quickly, some documentation or tutorials might become outdated, leading to confusion and extra effort to find up-to-date information.
  • Size of the application
    React Native applications tend to have larger file sizes compared to their native counterparts due to the inclusion of the JavaScript runtime and other dependencies.

Analysis of Keras

Overall verdict

  • Keras is a solid choice for deep learning projects, offering simplicity and flexibility without sacrificing performance. It is well-suited for educational purposes, research, and even deploying models in production environments.

Why this product is good

  • Keras is widely regarded as a good deep learning library because it provides a user-friendly API that allows for easy and fast prototyping of neural networks. It is built on top of other libraries like TensorFlow, making it robust and efficient for both beginners and experienced developers. Its modularity, extensibility, and compatibility with other tools and libraries make it a popular choice for developing deep learning models.

Recommended for

  • Beginners who are new to deep learning
  • Researchers looking for an easy-to-use platform for prototyping models
  • Developers working on projects that require quick experimentation and development
  • Individuals and companies deploying models into production environments

Analysis of React Native

Overall verdict

  • React Native is generally a good choice for mobile app development, especially if you're looking for a cross-platform solution. Its ease of use, combined with the ability to leverage a single codebase for both iOS and Android, makes it a popular option among developers.

Why this product is good

  • React Native is considered good because it allows developers to build mobile applications using JavaScript and React, enabling code reuse between Android and iOS platforms. This can speed up development time and reduce costs. It also has a vibrant community and a strong ecosystem with numerous libraries and tools, making it easier to implement complex functionalities. Additionally, React Native provides a native-like performance for most use cases, which enhances the user experience.

Recommended for

  • Startups and small businesses looking to develop mobile apps quickly and cost-effectively.
  • Developers with a background in JavaScript and React who want to expand into mobile app development.
  • Projects that require rapid prototyping and iterative development.
  • Applications that need to maintain a shared codebase between web and mobile platforms.

Keras videos

+ Add

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

React Native videos

+ Add

React Native in 2019 & Beyond

More videos:

  • Review - What Is React Native?
  • Review - Why React Native is garbage.

Category Popularity

0-100% (relative to Keras and React Native)

Keras

React Native

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Development Tools
0 0%
Development Tools
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Javascript UI Libraries
0 0%
Javascript UI Libraries
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 React Native

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...
Source: searchbusinessanalytics.techtarget.com

React Native Reviews

Explore 9 Top Eclipse Alternatives for 2024
Pioneered by Meta Platforms, Inc., React Native is a remarkable JavaScript framework that merges native app development with JavaScript libraries, offering a dependable solution for creating exemplary native apps for Android, iOS, and other platforms.
Source: aircada.com
Top 10 Flutter Alternatives for Cross-Platform App Development
Introduced in 2015 by Facebook, React Native is an open-source framework based on JavaScript. Being a developer-friendly framework, it’s a mobile-first platform that is capable of rendering mobile apps for multiple platforms, including iOS and Android.
Source: www.moontechnolabs.com
Exploring 15 Powerful Flutter Alternatives
React Native is an open-source UI framework for writing native Android and iOS apps using JavaScript and React. React Native does deliver excellent prototyping capabilities, however. The React framework lends itself nicely to creating basic proofs of concept and experimenting with different interaction models and UI designs with little overhead. Features like Fast Refresh...
Source: positiwise.medium.com
THE BEST 34 APP DEVELOPMENT SOFTWARE IN 2022 LIST
Create native apps for Android and iOS using React. React Native combines the best parts of native development with React, a best-in-class JavaScript library for building user interfaces. You can use React Native in your existing Android and iOS projects or you can create a whole new app from scratch. Written in JavaScript—rendered with native code. React primitives render...
Source: www.edigitalagency.com.au
Top 10 Visual Studio Alternatives
React native is famous for enabling the users to develop the core native applications and offers the best quality. It does not compromise on providing the best customer services and support. The react-native components surround the codes that already exist and then interact with the native APIs. That, in turn, allows the developers to learn the development process and makes...
Source: blog.back4app.com

Social recommendations and mentions

Based on our record, React Native should be more popular than Keras. It has been mentiond 232 times since March 2021. 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 / 30 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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React Native mentions (232)

  • Apprendre Flutter
    React Native: Assez faile à prendre en main si on maitrise React. - Source: dev.to / about 1 month ago
  • Migrating from AngularJS to React
    React skills work for React Native development - Although React Native is a separate framework designed specifically for building mobile applications, many of the skills a developer gains working with the React framework are applicable here as well. - Source: dev.to / about 2 months ago
  • The Mobile Development Tech Stack for 2025
    React Native (Official Documentation) allows you to create apps for both iOS and Android with a single codebase, while TypeScript adds type safety to your JavaScript, reducing bugs and improving code quality. - Source: dev.to / 4 months ago
  • React + AI Stack for 2025
    React Native is the powerhouse for cross-platform mobile development. Write once, run everywhere, get native performance when you need it, enjoy hot reloading for rapid development, tap into a huge ecosystem of libraries and tools, and integrate with native modules when you need platform-specific features. - Source: dev.to / 5 months ago
  • How Do I Start a New React Native App?
    React Native is a powerful framework for building cross-platform mobile applications using JavaScript and React. Whether you're a seasoned developer or a beginner, starting a new React Native project can be both exciting and challenging. This guide will walk you through the essential steps, tools, and best practices to set up your React Native project efficiently and effectively. - Source: dev.to / 5 months ago
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What are some alternatives?

When comparing Keras and React Native, 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.

jQuery - The Write Less, Do More, JavaScript Library.

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

Babel - Babel is a compiler for writing next generation JavaScript.

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

OpenSSL - OpenSSL is a free and open source software cryptography library that implements both the Secure Sockets Layer (SSL) and the Transport Layer Security (TLS) protocols, which are primarily used to provide secure communications between web browsers and …

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