Top 10 Scilab Alternatives & Competitors

(64)4.5 out of 5

Scilab is not the only option for Statistical Analysis Software. Explore other competing options and alternatives. Statistical Analysis Software is a widely used technology, and many people are seeking productive, easy to use software solutions with ai text generation and ai text summarization. Other important factors to consider when researching alternatives to Scilab include user interface and data analysis. The best overall Scilab alternative is GNU Octave. Other similar apps like Scilab are MATLAB, Posit, Simulink, and Mathematica. Scilab alternatives can be found in Statistical Analysis Software but may also be in Simulation & CAE Software or Data Science and Machine Learning Platforms.

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Best Paid & Free Alternatives to Scilab

GNU Octave
MATLAB
Posit
Simulink
Mathematica
SageMath
Modelica
IBM SPSS Statistics

Top 10 Alternatives to Scilab Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how Scilab stacks up to the competition, check reviews from current & previous users in industries like Higher Education, Computer Software, and Education Management, and find the best product for your business.

GNU Octave

By FreeCAD

4.2/5

(55)

Product Description

Categories in common with Scilab:

By MathWorks

Product Description

MATLAB is a high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop environment optimized for iterative analysis and design processes, coupled with a programming language that directly expresses matrix and array mathematics. The Live Editor feature enables users to create scripts that integrate code, output, and formatted text within an executable notebook. Key Features and Functionality: - Data Analysis: Tools for exploring, modeling, and analyzing data. - Graphics: Functions for visualizing and exploring data through various plots and charts. - Programming: Capabilities to create scripts, functions, and classes for customized workflows. - App Building: Facilities to develop desktop and web applications. - External Language Interfaces: Integration with languages such as Python, C/C++, Fortran, and Java. - Hardware Connectivity: Support for connecting MATLAB to various hardware platforms. - Parallel Computing: Ability to perform large-scale computations and parallelize simulations using multicore desktops, GPUs, clusters, and cloud resources. - Deployment: Options to share MATLAB programs and deploy them to enterprise applications, embedded devices, and cloud environments. Primary Value and User Solutions: MATLAB streamlines complex mathematical computations and data analysis tasks, enabling users to develop algorithms and models efficiently. Its comprehensive toolboxes and interactive apps facilitate rapid prototyping and iterative design, reducing development time. The platform's scalability allows for seamless transition from research to production, supporting deployment on various systems without extensive code modifications. By integrating with multiple programming languages and hardware platforms, MATLAB provides a versatile environment that addresses the diverse needs of engineers and scientists across industries.

Reviewers say compared to Scilab, MATLAB is:

More expensive

Better at support

Better at meeting requirements

Categories in common with Scilab:

Simulation & CAE