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  1. Stackups
  2. Application & Data
  3. Frameworks
  4. Cross Platform Desktop Development
  5. Sciter vs fbs

Sciter vs fbs

OverviewComparisonAlternatives

Overview

Sciter
Sciter
Stacks6
Followers31
Votes20
fbs
fbs
Stacks0
Followers8
Votes0
GitHub Stars3.9K
Forks190

Sciter vs fbs: What are the differences?

## Key Differences between Sciter and fbs

1. **Architecture**: Sciter is a lightweight, embeddable HTML/CSS/script engine designed to be used in various types of applications, while fbs is a Python build system that allows for creating standalone executables from Python scripts. Sciter focuses on providing a user interface engine based on modern web technologies, whereas fbs is more about simplifying the deployment of Python applications.
2. **Language Support**: Sciter primarily uses HTML and CSS for creating user interfaces, supplemented with an intrinsic script language called TIScript. In contrast, fbs is specifically designed for Python applications, making it more suitable for developers who write code in Python language.
3. **Development Flexibility**: Sciter offers cross-platform support and the ability to create rich GUI interfaces by leveraging standard web technologies. On the other hand, fbs streamlines the process of building and deploying Python applications by providing a set of tools and utilities tailored for Python developers.
4. **Community and Support**: The Sciter community provides resources, forums, and documentation for developers interested in using the engine, while fbs has its community of Python developers who contribute extensions, plugins, and support for the build system.
5. **Customization and Extensibility**: Sciter allows for advanced customization and extensibility through its API and support for various web technologies. In comparison, fbs offers a more structured approach to building Python applications, limiting certain customization options in favor of a streamlined development process.
6. **Target Audience**: Sciter is aimed at developers looking to create modern, cross-platform applications with web-like user interfaces, while fbs targets Python developers seeking a simpler way to bundle their applications for distribution on multiple platforms.

In Summary, Sciter and fbs differ in their architecture, language support, development flexibility, community support, customization capabilities, and target audience.

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Detailed Comparison

Sciter
Sciter
fbs
fbs

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.

Open sources code that was originally written for the cross-platform file manager fman. By packaging field-tested solutions in one cohesive package, this project lets you create cross-platform desktop apps in minutes, not months.

Cross platform; Embeddable; Flexible; Small footprint
-
Statistics
GitHub Stars
-
GitHub Stars
3.9K
GitHub Forks
-
GitHub Forks
190
Stacks
6
Stacks
0
Followers
31
Followers
8
Votes
20
Votes
0
Pros & Cons
Pros
  • 4
    Small bundle size
  • 4
    Faster than ElectronJS
  • 4
    Cross platform apps
  • 4
    Good for commercial projects
  • 4
    Use C++ API
Cons
  • 2
    Ultralight si lo es,aunque hay módulos comerciales
  • 1
    Close source project
  • 1
    No es open source
  • 1
    Less/bad documentation
  • 1
    Doesn't support Javascript
No community feedback yet
Integrations
Sentry
Sentry
Electron
Electron
Photon
Photon
Jolteon
Jolteon
DoneJS
DoneJS
Hazel
Hazel
Nightmare.js
Nightmare.js
No integrations available

What are some alternatives to Sciter, fbs?

Electron

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.

wxWidgets

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.

Qt5

Qt5

It is a full development framework with tools designed to streamline the creation of applications and user interfaces for desktop, embedded, and mobile platforms.

JavaFX

JavaFX

It is a set of graphics and media packages that enables developers to design, create, test, debug, and deploy rich client applications that operate consistently across diverse platforms.

React Native Desktop

React Native Desktop

Build OS X desktop apps using React Native.

JUCE

JUCE

It is a C++ framework for low-latency applications, with cross-platform GUI libraries to get your apps running on Mac OS X, Windows, Linux, iOS and Android.

Proton Native

Proton Native

Create native desktop applications through a React syntax, on all platforms.

NodeGUI

NodeGUI

It is an open source library for building cross-platform native desktop applications with JavaScript and CSS like styling. It is based on Qt5 and NOT chromium, hence it is memory and cpu efficient.

pygame

pygame

It is a cross-platform set of Python modules designed for writing video games. It includes computer graphics and sound libraries designed to be used with the Python programming language.

SDL

SDL

It is a cross-platform development library designed to provide low level access to audio, keyboard, mouse, joystick, and graphics hardware via OpenGL and Direct3D.

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