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Keras VS AngularJS

Compare Keras VS AngularJS 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.

AngularJS logo AngularJS

AngularJS lets you extend HTML vocabulary for your application. The resulting environment is extraordinarily expressive, readable, and quick to develop.
  • Keras Landing page
    Landing page //
    2023-10-16
  • AngularJS Landing page
    Landing page //
    2022-04-15

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.

AngularJS features and specs

  • Two-way data binding
    AngularJS's two-way data binding feature synchronizes data between the model and the view components, reducing the amount of boilerplate code required for data manipulation and improving ease of use.
  • Dependency Injection
    The built-in dependency injection mechanism in AngularJS facilitates better organization and management of services, making the code more modular, testable, and reusable.
  • Modular Development
    AngularJS allows developers to break down applications into modules. This modular approach helps in better code organization, easier maintenance, and parallel development.
  • Community and Ecosystem
    Backed by Google, AngularJS has a large and active community. This extensive support system provides a wealth of resources, plugins, and third-party tools that can facilitate the development process.
  • Directives
    Directives in AngularJS allow developers to extend HTML with new attributes and elements, enabling the creation of custom and reusable components with ease.
  • MVVM Architecture
    The Model-View-ViewModel (MVVM) architecture promotes the separation of concerns, allowing developers to work on different parts of the application without interfering with each other.

Possible disadvantages of AngularJS

  • Performance Issues
    AngularJS's two-way data binding can induce performance issues in large applications due to the constant checking and updating of the binding, which can impact the overall application speed.
  • Steep Learning Curve
    The complexity of AngularJS, with its various concepts such as directives, dependency injection, and MVVM architecture, can present a steep learning curve for new developers.
  • Migration Challenges
    Migrating from AngularJS to newer versions like Angular (2+), which are fundamentally different, poses significant challenges and often requires a complete codebase rewrite.
  • Verbose Code
    AngularJS's syntax can sometimes lead to verbose and complicated code, which can be difficult to read and maintain, especially for large-scale applications.
  • Limited Mobile Support
    Despite its strengths, AngularJS does not offer the same level of performance optimization for mobile applications, making it less ideal for mobile-first development compared to some other frameworks.
  • Legacy Framework
    AngularJS is considered a legacy framework with a focus shifted towards Angular (2+). As a result, it receives fewer updates and less community attention compared to newer frameworks.

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

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

AngularJS videos

+ Add

What Is AngularJS

More videos:

  • Review - AngularJS Fundamentals In 60-ish Minutes

Category Popularity

0-100% (relative to Keras and AngularJS)

Keras

AngularJS

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Javascript UI Libraries
0 0%
Javascript UI Libraries
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
JavaScript Framework
0 0%
JavaScript Framework
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 AngularJS

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

AngularJS Reviews

Top JavaScript Frameworks in 2025
AngularJS is an open-source framework used for developing web applications. Google developed it and made it open-source in 2010. It is one of the top choices of developers when it comes to building web applications using JavaScript. Hire web developers from SolGuruz and allow us to help you build white-label solutions.
Source: solguruz.com
20 Next.js Alternatives Worth Considering
Yes, Angular Universal provides server-side rendering capabilities for Angular applications. This tool allows Angular apps to benefit from SSR, improving performance and SEO by rendering pages on the server before sending them to the client.
Source: tms-outsource.com
The 20 Best Laravel Alternatives for Web Development
NestJS is a Node.js framework that’s inspired by Angular, and guess what? It’s written in TypeScript. Building with Typescript is like you’re navigating with the stars. It’s all about sturdy architecture, a server-side framework that enjoys the scripting superness while piling on extra sturdiness.
Source: tms-outsource.com
Top 9 best Frameworks for web development
The best frameworks for web development include React, Angular, Vue.js, Django, Spring, Laravel, Ruby on Rails, Flask and Express.js. Each of these frameworks has its own advantages and distinctive features, so it is important to choose the framework that best suits the needs of your project.
Source: www.kiwop.com
9 Best JavaScript Frameworks to Use in 2023
Angular.js is a powerful JavaScript-based web development framework. It has been designed to make web development more efficient and easy to use. Angular.js is based on the Model-View-Controller (MVC) architecture, which makes it easy to develop dynamic web applications. It also provides many features that make web development more efficient, such as data binding, dependency...
Source: ninetailed.io

Social recommendations and mentions

AngularJS might be a bit more popular than Keras. We know about 50 links to it since March 2021 and only 35 links to 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 / about 1 month 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

AngularJS mentions (50)

  • Between Diapers and Development – How My Blog Came to Life with Eleventy
    To maximize learning, I could choose something new. Normally, I consider that a valid reason. But given my limited time, that wasn't a priority for me. Another criterion could be long-term viability: Is there a large core team and an active community? Well, who still remembers AngularJS? From Google? And didn’t Facebook/Meta start Jest? I wouldn’t rely too much on that. - Source: dev.to / about 2 months ago
  • 11 Quick and Easy Tips for Optimizing AngularJS Performance
    AngularJS is an open-source JavaScript framework that developers use to build frontend applications. It comes with modular support, an extensive community, and all the tools that help develop and manage dynamic frontend web apps. - Source: dev.to / 5 months ago
  • Angular Tutorial: Host Element Binding
    Ok, what we'll use now is something that existed back in the day, after we switched from AngularJS to Angular 2 or modern Angular. We'll use the old/new host property on the component decorator. - Source: dev.to / 11 months ago
  • ⏰ It’s time to talk about Import Map, Micro Frontend, and Nx Monorepo
    Just to give you more context, I led the migration of several AngularJS applications to the newer Angular Framework. My client finally decided to make that move following the AngularJS deprecation announcement (stay up to date please 🙏)️. - Source: dev.to / about 1 year ago
  • JS Toolbox 2024: Essential Picks for Modern Developers Series Overview
    The next post in the series provides a thorough comparison of popular frameworks like React, Vue, Angular, and Svelte, focusing on their unique features and suitability for different project types. - Source: dev.to / about 1 year ago
View more

What are some alternatives?

When comparing Keras and AngularJS, 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.

Vue.js - Reactive Components for Modern Web Interfaces

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

React - A JavaScript library for building user interfaces

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

ember.js - A JavaScript framework for creating ambitious web apps

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