Software Alternatives, Accelerators & Startups
Register | Login

Scilab VS JSPython

Compare Scilab VS JSPython and see what are their differences

RealityMAX
RealityMAX is the full-stack, AI-powered product visualization platform, 100% online. Turn any image into 3D in seconds, enhance your visuals with AI, and download your work or share it as interactive 3D or AR in a snap, without a line of code. sponsored
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. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Scilab logo Scilab

Scilab Official Website. Enter your search in the box aboveAbout ScilabScilab is free and open source software for numerical . Thanks for downloading Scilab!

JSPython logo JSPython

Python-like syntax interpreter implemented with javascript that runs entirely in the web browser and/or in the NodeJS environment.
  • Scilab Landing page
    Landing page //
    2023-02-10
  • JSPython Landing page
    Landing page //
    2022-03-07

Scilab features and specs

  • Open Source
    Scilab is free and open-source software, allowing users to access the source code and modify it to suit their needs without any cost.
  • Extensive Mathematical Functionality
    Scilab provides a wide range of mathematical functions and capabilities for numerical computation, making it suitable for a variety of scientific and engineering applications.
  • Toolboxes and Modules
    It offers various built-in toolboxes and modules for specialized tasks, such as signal processing, control systems, and optimization, expanding its functionality.
  • Cross-Platform Support
    Scilab runs on different operating systems, including Windows, macOS, and Linux, providing flexibility for users working in diverse environments.
  • Strong Community Support
    A large and active user community means that users can find plenty of support, tutorials, and third-party contributions, easing the learning curve.
  • Integration Capabilities
    Scilab can be easily integrated with other software and tools, such as Modelica for modeling and simulation, enhancing its versatility in different workflows.

Possible disadvantages of Scilab

  • Performance
    Scilab may not be as performance-optimized as some other numerical computation software, like MATLAB, especially for very large datasets or highly complex calculations.
  • Learning Curve
    While Scilab is powerful, it can be challenging for beginners to master due to its extensive functionality and the need to learn its scripting language.
  • Less Commercial Support
    As open-source software, Scilab does not offer the same level of commercial support or extensive professional resources that are available for some paid alternatives like MATLAB.
  • Documentation Quality
    Although Scilab has a lot of documentation, some users find that it lacks depth or clarity compared to other software, making it harder to find thorough explanations or examples.
  • Graphical User Interface
    The graphical user interface (GUI) of Scilab is not as polished or user-friendly as that of some competitor tools, which can impact user experience.
  • Compatibility Issues
    Interoperability with MATLAB can be limited, potentially causing issues when porting code or collaborating with MATLAB users.

JSPython features and specs

  • Ease of Use
    JSPython allows developers to write Python code to manipulate DOM elements, making it easier for those familiar with Python to develop web applications.
  • Integration with JavaScript
    It enables seamless integration with JavaScript, allowing developers to leverage existing JavaScript libraries and frameworks alongside Python code.
  • Faster Development
    By using Python, developers can potentially write more concise and readable code, which may speed up the development process.
  • Cross-Platform Compatibility
    JSPython runs in the browser, allowing developers to create cross-platform web applications without concern for server-side compatibility.

Possible disadvantages of JSPython

  • Learning Curve
    Developers familiar with JavaScript but not Python may need time to learn Python syntax and paradigms, which could slow down initial development.
  • Performance Overhead
    Running Python in the browser via transpilation or interpreters can lead to performance overhead compared to native JavaScript execution.
  • Limited Ecosystem
    The ecosystem and community support for Python in web development is not as mature or extensive as for JavaScript, possibly limiting resources and libraries.
  • Dependency on External Tools
    The need for additional tools and libraries to transpile or interpret Python code in the browser adds complexity to the development and build process.

Analysis of Scilab

Overall verdict

  • Overall, Scilab is a robust and cost-effective alternative to other commercial numerical computation software. Its strengths lie in its flexibility and the support of a large community of users and contributors.

Why this product is good

  • Scilab is considered good by many due to its open-source nature, comprehensive capabilities for numerical computations, and its extensive community support. It offers a wide range of mathematical functions for engineering and scientific applications and is particularly favored for its ability to handle complex data analysis and simulations. Additionally, its compatibility with MATLAB code and its powerful graphical capabilities make it a versatile tool for developers and researchers.

Recommended for

    Scilab is recommended for engineers, scientists, and educators who require a powerful computational tool without the associated costs of commercial software. It is also suitable for students and researchers who are looking to perform complex mathematical modeling and simulations.

Analysis of JSPython

Overall verdict

  • JSPython is a solid, lightweight choice for developers who want to embed Python-like scripting inside JavaScript or TypeScript applications, offering a familiar syntax and seamless interoperability with the JS ecosystem, though it is not a full Python replacement.

Why this product is good

  • It lets you write Python-like syntax that runs directly in JavaScript environments, both in the browser and Node.js
  • Provides seamless interoperability, allowing scripts to call JavaScript functions and access JS objects easily
  • Lightweight and easy to embed, making it useful for adding user-configurable scripting to apps
  • Open source and free to use, with an active focus on data manipulation and expression evaluation
  • Great for enabling non-developers or end users to write logic without a heavy runtime

Recommended for

  • Developers building applications that need embedded, user-editable scripting logic
  • Teams creating low-code or no-code platforms requiring safe expression evaluation
  • Data-driven web apps that need Python-familiar syntax for transformations
  • Projects where end users with Python knowledge need to customize behavior without full Python runtime
  • Browser-based tools that require dynamic, sandboxed script execution

Scilab videos

+ Add

Scilab IPCV 1.2

More videos:

  • Review - Raspberry Pi for Computer Vision with Scilab
  • Review - Tone Recognition with Scilab and LabVIEW to Scilab Gateway

JSPython videos

No JSPython videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Scilab and JSPython)

Scilab

JSPython

Technical Computing
100 100%
Technical Computing
0% 0
Generic Programming Language
0 0%
Generic Programming Language
100% 100
Numerical Computation
100 100%
Numerical Computation
0% 0
Programming Language
0 0%
Programming Language
100% 100

User comments

Share your experience with using Scilab and JSPython. 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 Scilab and JSPython

Scilab Reviews

25 Best Statistical Analysis Software
Scilab is a powerful, free, and open-source software widely used by researchers, students, and professionals in various fields such as engineering, mathematics, physics, and more.
Source: www.scijournal.org
7 Best MATLAB alternatives for Linux
The syntax of Scilab is similar to MATLAB it also provides a source code translator to convert MATLAB code to Scilab.
Source: cyanogenmods.org
Matlab Alternatives
Scilab is an open-source similar to the implementation of Matlab. The approximation techniques known as Scientific Computing is used to solve numerical problems. To achieve this, the team of Scilab developers made use of Solvers and algorithms to build the algebraic libraries. Scilab is one of the major alternatives to Matlab along with GNU Octave.
Source: www.educba.com
10 Best MATLAB Alternatives [For Beginners and Professionals]
Scilab has 1700 mathematical functions for engineering applications and data analysis. You can also use Scilab to solve various constrained and unconstrained problems such as shape and topology optimizations etc.
Source: thetechtop10.com
4 open source alternatives to MATLAB
Scilab is another open source option for numerical computing that runs across all the major platforms: Windows, Mac, and Linux included. Scilab is perhaps the best known alternative outside of Octave, and (like Octave) it is very similar to MATLAB in its implementation, although exact compatibility is not a goal of the project's developers.
Source: opensource.com

JSPython Reviews

We have no reviews of JSPython yet.
Be the first one to post

Social recommendations and mentions

Based on our record, JSPython seems to be more popular. It has been mentiond 1 time 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.

Scilab mentions (0)

We have not tracked any mentions of Scilab yet. Tracking of Scilab recommendations started around Mar 2021.

JSPython mentions (1)

  • How to open and analyse large JSON files online
    # Welcome to JSPython (https://jspython.dev) Data = openFileAsArray({ take: 1000 #skip: 1000 }).data # work with data array here Return data. - Source: dev.to / about 4 years ago

What are some alternatives?

When comparing Scilab and JSPython, you can also consider the following products

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

Brython - Brython's goal is to replace Javascript with Python, as the scripting language for web browsers.

GNU Octave - GNU Octave is a programming language for scientific computing.

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processingโ€”and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.

Transcrypt - Transcrypt is a Python to JavaScript transpiler.

Loading...