Gluon vs Photon

Overview

Photon

Stacks32

Followers89

Votes0

GitHub Stars10.1K

Forks573

Gluon

Stacks29

Followers80

Votes3

GitHub Stars2.3K

Forks219

Gluon vs Photon: What are the differences?

### Introduction
In the realm of smartphones, Gluon and Photon are two popular mobile app development frameworks utilized by developers. Understanding the key differences between these frameworks can help in choosing the right one for a specific project.

1. **Programming Language Compatibility**: Gluon is specifically tailored for developers who prefer using the Java programming language, offering seamless integration with JavaFX for building cross-platform applications. On the other hand, Photon is designed for developers who are more comfortable with the JavaScript programming language, providing a wide range of APIs and libraries to enhance web and mobile app development.

2. **Platform Support**: Gluon primarily focuses on building applications for Android and iOS platforms, ensuring compatibility with various devices and screen sizes. In contrast, Photon is more inclined towards web app development, supporting major web browsers and providing features for Progressive Web Apps (PWAs) and web design optimization.

3. **User Interface Design**: Gluon emphasizes native-like user interface design, enabling developers to create visually appealing and responsive layouts for both Android and iOS applications. Photon, on the other hand, leverages web technologies like HTML, CSS, and JavaScript to craft dynamic and interactive user interfaces for web and mobile apps.

4. **Networking Capabilities**: Gluon offers robust networking capabilities by providing easy-to-use APIs for efficient communication between the app and external servers or databases. In comparison, Photon utilizes web protocols like HTTP and WebSocket to enable real-time data exchange and seamless interaction with web services and APIs.

5. **Deployment Options**: Gluon facilitates the deployment of applications on app stores like Google Play and Apple App Store, ensuring smooth distribution to a wide range of users. Meanwhile, Photon allows for easy deployment on web servers or cloud platforms, making it suitable for online applications accessible through web browsers.

6. **Community Support**: Gluon benefits from an active community of Java developers contributing to its continuous improvement, offering a wealth of resources, tutorials, and forums for assistance. Photon, being more aligned with web development, taps into the vast JavaScript community, providing extensive documentation and community-driven support for developers.

In Summary, understanding the key differences between Gluon and Photon in terms of programming language compatibility, platform support, user interface design, networking capabilities, deployment options, and community support can aid developers in choosing the right framework for their projects.

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CLI (Node.js)

Manual

Detailed Comparison

Photon	Gluon
The fastest way to build beautiful Electron apps using simple HTML and CSS. Underneath it all is Electron. Originally built for GitHub's Atom text editor, Electron is the easiest way to build cross-platform desktop applications.	A new open source deep learning interface which allows developers to more easily and quickly build machine learning models, without compromising performance. Gluon provides a clear, concise API for defining machine learning models using a collection of pre-built, optimized neural network components.
-	Simple, Easy-to-Understand Code: Gluon offers a full set of plug-and-play neural network building blocks, including predefined layers, optimizers, and initializers.;Flexible, Imperative Structure: Gluon does not require the neural network model to be rigidly defined, but rather brings the training algorithm and model closer together to provide flexibility in the development process.;Dynamic Graphs: Gluon enables developers to define neural network models that are dynamic, meaning they can be built on the fly, with any structure, and using any of Python’s native control flow.;High Performance: Gluon provides all of the above benefits without impacting the training speed that the underlying engine provides.
Statistics
GitHub Stars 10.1K	GitHub Stars 2.3K
GitHub Forks 573	GitHub Forks 219
Stacks 32	Stacks 29
Followers 89	Followers 80
Votes 0	Votes 3
Pros & Cons
No community feedback yet	Pros 3 Good learning materials
Integrations
Electron	No integrations available

What are some alternatives to Photon, Gluon?

Electron

With Electron, creating a desktop application for your company or idea is easy. Initially developed for GitHub's Atom editor, Electron has since been used to create applications by companies like Microsoft, Facebook, Slack, and Docker. The Electron framework lets you write cross-platform desktop applications using JavaScript, HTML and CSS. It is based on io.js and Chromium and is used in the Atom editor.

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

Keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

Sciter

It brings a stack of web technologies to desktop UI development. Web designers, and developers, can reuse their experience and expertise in creating modern looking desktop applications.

wxWidgets

It is a C++ library that lets developers create applications for Windows, macOS, Linux and other platforms with a single code base. It has popular language bindings for Python, Perl, Ruby and many other languages, and unlike other cross-platform toolkits, it gives applications a truly native look and feel because it uses the platform's native API rather than emulating the GUI. It's also extensive, free, open-source and mature.

Kubeflow

The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

TensorFlow.js

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

Polyaxon

An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

Related Comparisons

Gluon vs Photon: What are the differences?

### Introduction
In the realm of smartphones, Gluon and Photon are two popular mobile app development frameworks utilized by developers. Understanding the key differences between these frameworks can help in choosing the right one for a specific project.

1. **Programming Language Compatibility**: Gluon is specifically tailored for developers who prefer using the Java programming language, offering seamless integration with JavaFX for building cross-platform applications. On the other hand, Photon is designed for developers who are more comfortable with the JavaScript programming language, providing a wide range of APIs and libraries to enhance web and mobile app development.

2. **Platform Support**: Gluon primarily focuses on building applications for Android and iOS platforms, ensuring compatibility with various devices and screen sizes. In contrast, Photon is more inclined towards web app development, supporting major web browsers and providing features for Progressive Web Apps (PWAs) and web design optimization.

3. **User Interface Design**: Gluon emphasizes native-like user interface design, enabling developers to create visually appealing and responsive layouts for both Android and iOS applications. Photon, on the other hand, leverages web technologies like HTML, CSS, and JavaScript to craft dynamic and interactive user interfaces for web and mobile apps.

4. **Networking Capabilities**: Gluon offers robust networking capabilities by providing easy-to-use APIs for efficient communication between the app and external servers or databases. In comparison, Photon utilizes web protocols like HTTP and WebSocket to enable real-time data exchange and seamless interaction with web services and APIs.

5. **Deployment Options**: Gluon facilitates the deployment of applications on app stores like Google Play and Apple App Store, ensuring smooth distribution to a wide range of users. Meanwhile, Photon allows for easy deployment on web servers or cloud platforms, making it suitable for online applications accessible through web browsers.

6. **Community Support**: Gluon benefits from an active community of Java developers contributing to its continuous improvement, offering a wealth of resources, tutorials, and forums for assistance. Photon, being more aligned with web development, taps into the vast JavaScript community, providing extensive documentation and community-driven support for developers.

Gluon vs Photon

Overview