Top Alternatives to Scilab

Looking for Scilab alternatives? We've curated 10 top alternatives that offer similar functionality. Whether you need options, free plans, or open source solutions, explore our comprehensive list to find the perfect fit for your needs.

Open Source More about Scilab

Categories:

Education & Reference

Platforms:

MATLAB

Commercial

MATLAB is a comprehensive platform for numerical computing, visualization, and programming. It provides a powerful environment for algorithm development, data analysis, simulation, and model development across various disciplines.

Key Features

Comprehensive numerical computing environment.
Extensive collection of domain-specific toolboxes.
Powerful visualization capabilities.

vs Scilab

Comprehensive numerical computing environment. compared to Scilab

GNU Octave

Open Source

GNU Octave is a high-level programming language primarily intended for numerical computations. It provides a convenient command-line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments.

Key Features

Free and open-source, accessible to everyone.
High compatibility with MATLAB syntax and functions.
Extensive library of built-in numerical functions.

vs Scilab

Free and open-source, accessible to everyone. compared to Scilab

R (programming language)

Open Source

R is a powerful open-source language and environment for statistical computing, graphics, and data analysis. Widely used by statisticians and data miners for developing statistical software and data analysis.

Key Features

Extensive statistical and graphical capabilities.
Large and comprehensive ecosystem of packages.
High-quality data visualization features.

vs Scilab

Extensive statistical and graphical capabilities. compared to Scilab

Mathematica

Commercial

Mathematica is a comprehensive software suite for technical computing, widely used in scientific, engineering, and mathematical fields for its powerful symbolic and numerical computation capabilities.

Key Features

Extremely powerful symbolic and numerical computation capabilities.
Comprehensive all-in-one platform for computation, visualization, and documentation.
Vast library of built-in functions and access to curated data.

vs Scilab

Extremely powerful symbolic and numerical computation capabilities. compared to Scilab

Sage

Open Source

SageMath is a free open-source mathematics software system that provides a comprehensive environment for symbolic and numerical computation, algebra, calculus, and more. It integrates various existing mathematics software packages into a common Python-based interface.

Key Features

Free and open-source
Comprehensive range of mathematical capabilities
Excellent interactive notebook interface

vs Scilab

Free and open-source compared to Scilab

python(x,y)

Open Source

Python(x,y) is a comprehensive, free and open-source development environment for scientific and engineering tasks using Python. It bundles numerous libraries and tools for numerical computation, data analysis, visualization, and more, making it a powerful alternative to commercial software.

Key Features

Bundled with essential scientific libraries.
Easy to install and set up.
Includes a comprehensive IDE with debugger.

vs Scilab

Bundled with essential scientific libraries. compared to Scilab

Julia

Open Source

Julia is a high-level, dynamic programming language designed for technical computing with performance comparable to traditional compiled languages. It excels in numerical analysis, data science, and scientific computing, offering a flexible environment for both rapid prototyping and high-performance code.

Key Features

Exceptional performance for numerical computations, often comparable to C or Fortran.
Flexible and dynamic language with a relatively clean syntax.
Powerful multiple dispatch system enhances code reusability and extensibility.

vs Scilab

Exceptional performance for numerical computations, often comparable to C or Fortran. compared to Scilab

Spyder

Open Source

Spyder is a comprehensive Scientific Python Development Environment (IDE) designed specifically for data scientists, engineers, and researchers using Python for scientific computing. It offers a rich set of tools for interactive data exploration, analysis, and visualization.

Key Features

Excellent integration with the scientific Python ecosystem (NumPy, SciPy, Pandas, Matplotlib).
Variable Explorer is highly effective for data inspection and manipulation.
Integrated IPython console allows for interactive code execution and exploration.

vs Scilab

Excellent integration with the scientific Python ecosystem (NumPy, SciPy, Pandas, Matplotlib). compared to Scilab

fxSolver

Free

fxSolver is a powerful online tool designed for solving complex mathematical, scientific, and engineering equations with ease. It features a vast library of formulas and a user-friendly interface, allowing users to input, solve, and visualize equations and data.

Key Features

Extensive database of pre-built formulas saves significant time.
User-friendly online interface accessible from any device.
Integrated graphing and plotting for visual analysis.

vs Scilab

Extensive database of pre-built formulas saves significant time. compared to Scilab

Freemat

Open Source

FreeMat is a free and open-source environment designed for engineering and scientific prototyping, data analysis, and numeric computation. It provides a MATLAB-like environment for users working with mathematical and scientific data, focusing on ease of use and powerful analytical capabilities.

Key Features

Free and open-source alternative to commercial software.
Familiar syntax for users of MATLAB-like environments.
Comprehensive library of mathematical functions.

vs Scilab

Free and open-source alternative to commercial software. compared to Scilab

MATLAB

Commercial

MATLAB is a comprehensive platform for numerical computing, visualization, and programming. It provides a powerful environment for algorithm development, data analysis, simulation, and model development across various disciplines.

Key Features

Comprehensive numerical computing environment.
Extensive collection of domain-specific toolboxes.
Powerful visualization capabilities.

vs Scilab

Comprehensive numerical computing environment. compared to Scilab

GNU Octave

Open Source

GNU Octave is a high-level programming language primarily intended for numerical computations. It provides a convenient command-line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments.

Key Features

Free and open-source, accessible to everyone.
High compatibility with MATLAB syntax and functions.
Extensive library of built-in numerical functions.

vs Scilab

Free and open-source, accessible to everyone. compared to Scilab

R (programming language)

Open Source

R is a powerful open-source language and environment for statistical computing, graphics, and data analysis. Widely used by statisticians and data miners for developing statistical software and data analysis.

Key Features

Extensive statistical and graphical capabilities.
Large and comprehensive ecosystem of packages.
High-quality data visualization features.

vs Scilab

Extensive statistical and graphical capabilities. compared to Scilab

Mathematica

Commercial

Mathematica is a comprehensive software suite for technical computing, widely used in scientific, engineering, and mathematical fields for its powerful symbolic and numerical computation capabilities.

Key Features

Extremely powerful symbolic and numerical computation capabilities.
Comprehensive all-in-one platform for computation, visualization, and documentation.
Vast library of built-in functions and access to curated data.

vs Scilab

Extremely powerful symbolic and numerical computation capabilities. compared to Scilab

Sage

Open Source

SageMath is a free open-source mathematics software system that provides a comprehensive environment for symbolic and numerical computation, algebra, calculus, and more. It integrates various existing mathematics software packages into a common Python-based interface.

Key Features

Free and open-source
Comprehensive range of mathematical capabilities
Excellent interactive notebook interface

vs Scilab

Free and open-source compared to Scilab

python(x,y)

Open Source

Python(x,y) is a comprehensive, free and open-source development environment for scientific and engineering tasks using Python. It bundles numerous libraries and tools for numerical computation, data analysis, visualization, and more, making it a powerful alternative to commercial software.

Key Features

Bundled with essential scientific libraries.
Easy to install and set up.
Includes a comprehensive IDE with debugger.

vs Scilab

Bundled with essential scientific libraries. compared to Scilab

Julia

Open Source

Julia is a high-level, dynamic programming language designed for technical computing with performance comparable to traditional compiled languages. It excels in numerical analysis, data science, and scientific computing, offering a flexible environment for both rapid prototyping and high-performance code.

Key Features

Exceptional performance for numerical computations, often comparable to C or Fortran.
Flexible and dynamic language with a relatively clean syntax.
Powerful multiple dispatch system enhances code reusability and extensibility.

vs Scilab

Exceptional performance for numerical computations, often comparable to C or Fortran. compared to Scilab

Spyder

Open Source

Spyder is a comprehensive Scientific Python Development Environment (IDE) designed specifically for data scientists, engineers, and researchers using Python for scientific computing. It offers a rich set of tools for interactive data exploration, analysis, and visualization.

Key Features

Excellent integration with the scientific Python ecosystem (NumPy, SciPy, Pandas, Matplotlib).
Variable Explorer is highly effective for data inspection and manipulation.
Integrated IPython console allows for interactive code execution and exploration.

vs Scilab

Excellent integration with the scientific Python ecosystem (NumPy, SciPy, Pandas, Matplotlib). compared to Scilab

fxSolver

Free

fxSolver is a powerful online tool designed for solving complex mathematical, scientific, and engineering equations with ease. It features a vast library of formulas and a user-friendly interface, allowing users to input, solve, and visualize equations and data.

Key Features

Extensive database of pre-built formulas saves significant time.
User-friendly online interface accessible from any device.
Integrated graphing and plotting for visual analysis.

vs Scilab

Extensive database of pre-built formulas saves significant time. compared to Scilab

Freemat

Open Source

FreeMat is a free and open-source environment designed for engineering and scientific prototyping, data analysis, and numeric computation. It provides a MATLAB-like environment for users working with mathematical and scientific data, focusing on ease of use and powerful analytical capabilities.

Key Features

Free and open-source alternative to commercial software.
Familiar syntax for users of MATLAB-like environments.
Comprehensive library of mathematical functions.

vs Scilab

Free and open-source alternative to commercial software. compared to Scilab

Compare Side-by-Side

Want to see how Scilab stacks up against alternatives? Select any option below for a detailed comparison.

MATLAB vs Scilab

Compare features and reviews between these alternatives.

Compare

GNU Octave icon

GNU Octave vs Scilab

Compare features and reviews between these alternatives.

Compare

R (programming language) icon

R (programming language) vs Scilab

Compare features and reviews between these alternatives.

Compare

Mathematica icon

Mathematica vs Scilab

Compare features and reviews between these alternatives.

Compare

Advertisement

Compare features and reviews between these alternatives.

Compare

python(x,y) icon

python(x,y) vs Scilab

Compare features and reviews between these alternatives.

Compare

Julia vs Scilab

Compare features and reviews between these alternatives.

Compare

Spyder vs Scilab

Compare features and reviews between these alternatives.

Compare

fxSolver vs Scilab

Compare features and reviews between these alternatives.

Compare

Freemat vs Scilab

Compare features and reviews between these alternatives.

Compare