Software Alternatives, Accelerators & Startups

Apache Cordova VS Keras

Compare Apache Cordova VS Keras and see what are their differences

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Apache Cordova logo Apache Cordova

Platform for building native mobile applications using HTML, CSS and JavaScript

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.
  • Apache Cordova Landing page
    Landing page //
    2023-01-17
  • Keras Landing page
    Landing page //
    2023-10-16

Apache Cordova features and specs

  • Cross-Platform Development
    Apache Cordova enables developers to build applications for multiple platforms (iOS, Android, Windows, etc.) using a single codebase, which saves time and resources.
  • Use of Web Technologies
    Cordova allows the use of standard web technologies like HTML, CSS, and JavaScript, making it accessible for web developers to create mobile applications without needing to learn platform-specific languages.
  • Extensive Plugin Ecosystem
    Cordova provides a wide range of plugins that enable access to native device functionalities (such as the camera, accelerometer, GPS, etc.), allowing for more versatile app development.
  • Cost Effective
    By reducing the need for multiple native developers and leveraging a single web development team, Cordova can significantly cut down the costs of application development.
  • Open Source
    As an open-source project, Apache Cordova benefits from community support and contributions, leading to continuous improvements and a wealth of shared knowledge and code.

Possible disadvantages of Apache Cordova

  • Performance Issues
    Applications built with Cordova may experience performance issues, especially with complex graphical or computational tasks, as they are essentially web applications wrapped in a native container.
  • Limited Native Functionality
    Although Cordova provides many plugins, accessing the latest native features often requires custom development, which can be complicated and time-consuming.
  • Dependency on Plugins
    Developers often rely heavily on third-party plugins to access native features. If these plugins are not well-maintained, they can introduce compatibility issues and bugs.
  • User Experience
    The user experience of Cordova-based apps may not be as smooth or responsive as fully native applications, potentially leading to lower user satisfaction.
  • Security Concerns
    Using multiple plugins and technologies can increase the surface area for security vulnerabilities. Also, web-based applications can be more susceptible to common web security issues.

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.

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

Apache Cordova videos

Apache Cordova - Hello World from Android and iOS

More videos:

  • Review - What’s Your View on Apache Cordova?

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 Apache Cordova and Keras)
Development Tools
100 100%
0% 0
Data Science And Machine Learning
JavaScript Framework
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 Apache Cordova and Keras

Apache Cordova Reviews

Top 10 Flutter Alternatives for Cross-Platform App Development
Developed by Apache Cordova, PhoneGap is used extensively for developing cross-platform mobile with the use of several web technologies. It lets developers write code by using HTML, CSS & JavaScript and package it as a native app. Being a simple framework, it includes the largest collection of plugins that extend its wide functionality.
Top 5 Flutter Alternatives for Cross-Platform Development
Apache Cordova is an open-source mobile development framework that lets you create cross-platform apps using standard web technologies like HTML5, CSS3, and JavaScript. Like NativeScript, Apache Cordova is more accessible to developers comfortable with web development, especially Angular or VueJS.
Source: www.miquido.com
Exploring 15 Powerful Flutter Alternatives
Oracle Mobile Application Framework (MAF) offers cross-platform development using standards like HTML5 and JavaScript containerized via Apache Cordova. Oracle MAF delivers excellent offline support capabilities matching the needs of field service teams and remote inspectors. With tools like Oracle Database and middleware, MAF apps cache relevant data subsets locally while...
Top 10 Android Studio Alternatives For App Development
Apache Cordova is used for building mobile applications with the help of HTML, CSS, and Javascript. It is an open-source mobile application development framework that was created by Nitobi.
10 Best Android Studio Alternatives For App Development
Apache Cordova is a tool to develop Android App Development. It enables software engineers to build apps for Android mobile phones. Using HTML5, CSS3, JavaScript instead of relying on platform-specific APIs. Like those in Android, iOS or Windows phones. When you are using Apache Cordova APIs, an app can be developed without any native code (like Java, objective-C, etc.) from...
Source: techdator.net

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

Apache Cordova might be a bit more popular than Keras. We know about 44 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.

Apache Cordova mentions (44)

  • Show HN: I Made a Web App to Bring Children's Drawings to Life
    This is truly amazing. Is there a 'How it Works' a 'Potentials' section? I work with things that push to inspire creativity and learning to foster the passion behind creativity and authentic works where otherwise we'd see how 'AI copies our work' and now we can see how AI can bring works to life and make them more fun. Over-all would you like to see schools adopting your project? I didn't see a contact form but... - Source: Hacker News / 5 months ago
  • PWAs wont replace native iOS apps
    Anyone have experience with/opinions on Apache Cordova? [1] It seems like it would solve most of the PWA issues. Although I vaguely recall reading that Apple is not too fond of apps that are basically just wrapped web views. [1] https://cordova.apache.org/. - Source: Hacker News / over 1 year ago
  • What's the latest way of submitting pwas to the app stores?
    Has anyone tried pwa builder?[2] Thank you for any insights! [0]https://cordova.apache.org/. - Source: Hacker News / over 1 year ago
  • Why does everyone "suddenly" hate Single Page Apps?
    A little over a decade ago, I worked on the open-source project Apache Cordova/Adobe PhoneGap, first at IBM and later at Adobe. Apache Cordova enables you to build mobile applications using HTML, CSS and JavaScript while targeting multiple platforms with one code base. In today’s technology landscape, mobile is dominated by iOS and Android. In the early 2010’s we were awash in mobile platforms from BlackBerry,... - Source: dev.to / over 2 years ago
  • The right way to build multi platform apps in 2023 using web tech. ?
    There are layers that offer access to native APIs like capacitor, cordova and nativescript. Apparently sometimes multiple of them should be used, but I didn't understand what are the differences even after reading the announcement. These seem to be frontend agnostic technologies and Capacitor is apparently the more modern choice at the moment. Source: over 2 years 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 / 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
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What are some alternatives?

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

React Native - A framework for building native apps with React

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.

PhoneGap - Easily create apps using the web technologies you know and love: HTML, CSS, and JavaScript.

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

Ionic - Ionic is a cross-platform mobile development stack for building performant apps on all platforms with open web technologies.

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