Software Alternatives, Accelerators & Startups
Register | Login

Keras VS Ionic

Compare Keras VS Ionic and see what are their differences

PulpMiner
Converts Any Webpage Into Realtime JSON API 🟢 featured
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.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

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.

Ionic logo Ionic

Ionic is a cross-platform mobile development stack for building performant apps on all platforms with open web technologies.
  • Keras Landing page
    Landing page //
    2023-10-16
  • Ionic Landing page
    Landing page //
    2023-07-12

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.

Ionic features and specs

  • Cross-Platform Development
    Ionic allows developers to build applications for multiple platforms such as iOS, Android, and the web using a single codebase. This significantly reduces development time and costs.
  • Rich UI Components
    Ionic provides a wide range of pre-built UI components that are customizable and designed to look and feel native on all devices. This makes it easier to create visually appealing and consistent interfaces.
  • Integration with Angular
    Ionic is tightly integrated with Angular, a popular and widely-used front-end framework. This integration provides a robust architecture for building complex applications.
  • Active Community and Extensive Documentation
    Ionic has an active community and extensive documentation, tutorials, and resources. This makes it easier for developers to find support and resolve issues.
  • Cordova and Capacitor Plugins
    Ionic apps can leverage Cordova and Capacitor plugins to access native device features like the camera, GPS, and file system, providing near-native functionality.

Possible disadvantages of Ionic

  • Performance Issues
    Because Ionic uses WebView for rendering, performance can sometimes be inferior to native applications, particularly for highly interactive or graphically intensive applications.
  • Dependency on Third-Party Plugins
    Ionic heavily relies on third-party plugins for accessing native features. If these plugins are not well-maintained or lack support for certain functionalities, it can lead to challenges.
  • Learning Curve
    While Ionic simplifies cross-platform development, it still requires familiarity with web technologies like JavaScript, CSS, and HTML, as well as frameworks like Angular. This could be a steep learning curve for developers not versed in these technologies.
  • File Size
    Ionic applications tend to have a larger file size compared to native applications, mainly due to the inclusion of WebView and other dependencies. This can impact download times and initial load performance.
  • Rendering Delays
    There can be noticeable delays in UI rendering, especially on older devices, due to the abstraction layer that Ionic provides over native components.

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 Ionic

Overall verdict

  • Ionic is a good choice for startups, small to medium-sized businesses, and developers who are looking to rapidly build and deploy mobile apps with a consistent look and feel across devices. It is particularly useful when the apps don't require intensive use of native capabilities and where development speed is more important than the performance of strictly native apps.

Why this product is good

  • Ionic is a popular open-source framework used for developing cross-platform mobile applications. It combines HTML, CSS, and JavaScript with front-end frameworks like Angular, React, or Vue to create hybrid applications. Its main advantages are ease of use, a rich component library, and the ability to write once and deploy across multiple platforms, saving time and resources.

Recommended for

  • Developers looking for a single codebase for multiple platforms.
  • Teams that are already proficient in web technologies such as HTML, CSS, and JavaScript.
  • Projects that have simple or moderate use of device hardware and native capabilities.
  • Businesses prioritizing rapid development and deployment over maximizing native performance.

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

Ionic videos

+ Add

Fitbit Ionic smartwatch review

More videos:

  • Review - Fitbit Ionic Review (IN-DEPTH)
  • Review - Fitbit Versa 2 vs Ionic | Fitness Smartwatch Review (NEW)

Category Popularity

0-100% (relative to Keras and Ionic)

Keras

Ionic

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
Developer Tools
0 0%
Developer Tools
100% 100

User comments

Share your experience with using Keras and Ionic. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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

Ionic Reviews

Top 10 Flutter Alternatives for Cross-Platform App Development
Ionic is mainly known for its simplicity and, thus, is an appropriate choice for those who have a small team or own startups. The framework is popular for its predesigned UI components, which catalyze the overall development process.
Source: www.moontechnolabs.com
Exploring 15 Powerful Flutter Alternatives
Ionic is an open-source UI framework that uses web technologies like HTML, CSS, and JavaScript to build progressive web and mobile apps. Ionic shines for apps centered around forms, lists, and data. The extensive UI components and flexible layout options facilitate quickly scaffolding up CRM-style interfaces for managing records and inventory without needing to style every...
Source: positiwise.medium.com
Should I use Moxly to create Ionic apps faster? Ionic vs Moxly
It’s always important that an app is responsive and especially important with Ionic, which is designed to reach multiple platforms with one codebase. This is not supported by Moxly, which is not good in the realm of Ionic. That’s where things look different again with Ionic. There you can create Responsive Apps and websites.
Source: nwicode.medium.com
THE BEST 34 APP DEVELOPMENT SOFTWARE IN 2022 LIST
One codebase. Any platform. Now in React and Angular. Ionic Framework is an open-source mobile UI toolkit for building high-quality, cross-platform native and web app experiences. Move faster with a single codebase, running everywhere. Free and open-source, Ionic offers a library of mobile-optimized UI components, gestures, and tools for building fast highly interactive apps.
Source: www.edigitalagency.com.au
Android Studio Alternative
Ionic framework is an open-source UI toolkit that allows web technologies to be used to create high-quality mobile and desktop applications. Ionic architecture is based on the user interface or user experience of the application. It’s simple to understand, integrate, or utilize without a front frame using a simple script that incorporates other libraries or frameworks like...
Source: www.educba.com

Social recommendations and mentions

Based on our record, Keras should be more popular than Ionic. It has been mentiond 35 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 / 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

Ionic mentions (10)

  • Hello from Team OutSystems!
    As you may remember, Ionic, the company where I’ve worked as a Developer Advocate for the past year and a half, was acquired in late 2022 by OutSystems. As part of that acquisition, I’m excited to announce that I transitioned to a Lead Developer Advocate position on the OutSystems side of the house this past November. In my new role, I will continue doing what I love – making it easier for developers to build... - Source: dev.to / over 1 year ago
  • Best Programming language to create Mobile Application ?
    You're looking for a framework to build a progressive web app. Such as Ionic: https://ionic.io/. Source: almost 2 years ago
  • What is this type of styling called?
    Some website's that I've collected that use the styling I'm on about; Ionic.io, spline.design, wickedbackgrounds.com, coolbackgrounds.io,. Source: about 3 years ago
  • Android Games with Capacitor and JavaScript
    In the past I would have used something like Cordova, but this new thing from the folks at Ionic has TypeScript support out of the box for their native APIs and support for using any Cordova plugins you might miss. - Source: dev.to / over 3 years ago
  • 10 Reasons to Choose Ionic for Mobile Development
    Ionic is the only cross-platform development stack that has Enterprise support and integrations for teams building employee and customer-facing apps. Ionic offers dedicated support, security features like Biometrics and Single Sign-on, and cloud services for remote app updates, app builds, and app store distribution. - Source: dev.to / almost 4 years ago
View more

What are some alternatives?

When comparing Keras and Ionic, 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.

React Native - A framework for building native apps with React

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

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

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

NativeScript - Build truly native apps with JavaScript

Loading...