# Top 10 Scilab Alternatives & Competitors
**Average Rating:** 4.5/5
**Total Number of Reviews:** 64
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 sophisticated, popular software solutions with ai text summarization and ai text generation. 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 Team, Simulink, and Mathematica. Scilab alternatives can be found in [Statistical Analysis Software](https://www.g2.com/categories/statistical-analysis) but may also be in [Simulation & CAE Software](https://www.g2.com/categories/simulation-cae) or [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms).


## Best Paid & Free Alternatives to Scilab
  - [GNU Octave](https://www.g2.com/products/gnu-octave/reviews)
  - [MATLAB](https://www.g2.com/products/matlab/reviews)
  - [Posit Team](https://www.g2.com/products/posit-team/reviews)
  - [Simulink](https://www.g2.com/products/simulink/reviews)
  - [Mathematica](https://www.g2.com/products/mathematica/reviews)
  - [Modelica](https://www.g2.com/products/modelica/reviews)
  - [SageMath](https://www.g2.com/products/sagemath/reviews)
  - [IBM SPSS Statistics](https://www.g2.com/products/ibm-spss-statistics/reviews)
  - [Autodesk Fusion](https://www.g2.com/products/autodesk-fusion/reviews)
  - [Maple](https://www.g2.com/products/maple/reviews)

## 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.


  ### 1. [GNU Octave](https://www.g2.com/products/gnu-octave/reviews)
By FreeCAD
**Average Rating:** 4.2/5
**Total Reviews:** 55
GNU Octave is an open-source mathematical modeling and simulation software very similar to using the same language as Matlab and Freemat.


Categories in common with Scilab: [Simulation & CAE](https://www.g2.com/categories/simulation-cae), [Statistical Analysis](https://www.g2.com/categories/statistical-analysis)

**Compare:** [Scilab vs GNU Octave](https://www.g2.com/compare/gnu-octave-vs-scilab)
**Compare GNU Octave with other alternatives:**
- [GNU Octave vs MATLAB](https://www.g2.com/compare/gnu-octave-vs-matlab)
- [GNU Octave vs Posit Team](https://www.g2.com/compare/gnu-octave-vs-posit-team)
- [GNU Octave vs Simulink](https://www.g2.com/compare/gnu-octave-vs-simulink)
- [GNU Octave vs Mathematica](https://www.g2.com/compare/gnu-octave-vs-mathematica)
- [GNU Octave vs Modelica](https://www.g2.com/compare/gnu-octave-vs-modelica)
- [GNU Octave vs SageMath](https://www.g2.com/compare/gnu-octave-vs-sagemath)
- [GNU Octave vs IBM SPSS Statistics](https://www.g2.com/compare/gnu-octave-vs-ibm-spss-statistics)
- [GNU Octave vs Autodesk Fusion](https://www.g2.com/compare/autodesk-fusion-vs-gnu-octave)
- [GNU Octave vs Maple](https://www.g2.com/compare/gnu-octave-vs-maple)

  ### 2. [MATLAB](https://www.g2.com/products/matlab/reviews)
By MathWorks
**Average Rating:** 4.5/5
**Total Reviews:** 771
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](https://www.g2.com/categories/simulation-cae)

**Compare:** [Scilab vs MATLAB](https://www.g2.com/compare/matlab-vs-scilab)
**Compare MATLAB with other alternatives:**
- [MATLAB vs GNU Octave](https://www.g2.com/compare/gnu-octave-vs-matlab)
- [MATLAB vs Posit Team](https://www.g2.com/compare/matlab-vs-posit-team)
- [MATLAB vs Simulink](https://www.g2.com/compare/matlab-vs-simulink)
- [MATLAB vs Mathematica](https://www.g2.com/compare/matlab-vs-mathematica)
- [MATLAB vs Modelica](https://www.g2.com/compare/matlab-vs-modelica)
- [MATLAB vs SageMath](https://www.g2.com/compare/matlab-vs-sagemath)
- [MATLAB vs IBM SPSS Statistics](https://www.g2.com/compare/ibm-spss-statistics-vs-matlab)
- [MATLAB vs Autodesk Fusion](https://www.g2.com/compare/autodesk-fusion-vs-matlab)
- [MATLAB vs Maple](https://www.g2.com/compare/matlab-vs-maple)

  ### 3. [Posit Team](https://www.g2.com/products/posit-team/reviews)
By Posit
**Average Rating:** 4.5/5
**Total Reviews:** 575
In addition to our open-source data science software, RStudio produces RStudio Team, a unique, modular platform of enterprise-ready professional software products that enable teams to adopt R, Python, and other open-source data science software at scale.


Reviewers say compared to Scilab, Posit Team is:
- Better at meeting requirements
Categories in common with Scilab: [Statistical Analysis](https://www.g2.com/categories/statistical-analysis)

**Compare:** [Scilab vs Posit Team](https://www.g2.com/compare/posit-team-vs-scilab)
**Compare Posit Team with other alternatives:**
- [Posit Team vs GNU Octave](https://www.g2.com/compare/gnu-octave-vs-posit-team)
- [Posit Team vs MATLAB](https://www.g2.com/compare/matlab-vs-posit-team)
- [Posit Team vs Simulink](https://www.g2.com/compare/posit-team-vs-simulink)
- [Posit Team vs Mathematica](https://www.g2.com/compare/mathematica-vs-posit-team)
- [Posit Team vs Modelica](https://www.g2.com/compare/modelica-vs-posit-team)
- [Posit Team vs SageMath](https://www.g2.com/compare/posit-team-vs-sagemath)
- [Posit Team vs IBM SPSS Statistics](https://www.g2.com/compare/ibm-spss-statistics-vs-posit-team)
- [Posit Team vs Autodesk Fusion](https://www.g2.com/compare/autodesk-fusion-vs-posit-team)
- [Posit Team vs Maple](https://www.g2.com/compare/maple-vs-posit-team)

  ### 4. [Simulink](https://www.g2.com/products/simulink/reviews)
By MathWorks
**Average Rating:** 4.2/5
**Total Reviews:** 99
Simulink is a block diagram environment for multidomain simulation and Model-Based Design. It supports system-level design, simulation, automatic code generation, and continuous test and verification of embedded systems. Simulink provides a graphical editor, customizable block libraries, and solvers for modeling and simulating dynamic systems. It is integrated with MATLAB, enabling you to incorporate MATLAB algorithms into models and export simulation results to MATLAB for further analysis. Key Features: - Graphical editor for building and managing hierarchical block diagrams - Libraries of predefined blocks for modeling continuous-time and discrete-time systems - Simulation engine with fixed-step and variable-step ODE solvers - Scopes and data displays for viewing simulation results - Project and data management tools for managing model files and data - Model analysis tools for refining model architecture and increasing simulation speed - MATLAB Function block for importing MATLAB algorithms into models - Legacy Code Tool for importing C and C++ code into models Primary Value: Simulink enables engineers and scientists to design, simulate, and test complex systems within a unified environment, facilitating early detection of design issues and reducing development time. By integrating with MATLAB, it allows for seamless incorporation of algorithms and data analysis, enhancing the efficiency and accuracy of system development. Simulink's support for automatic code generation and continuous verification streamlines the transition from design to implementation, ensuring robust and reliable embedded systems.


Reviewers say compared to Scilab, Simulink is:
- More expensive
Categories in common with Scilab: [Simulation & CAE](https://www.g2.com/categories/simulation-cae)

**Compare:** [Scilab vs Simulink](https://www.g2.com/compare/scilab-vs-simulink)
**Compare Simulink with other alternatives:**
- [Simulink vs GNU Octave](https://www.g2.com/compare/gnu-octave-vs-simulink)
- [Simulink vs MATLAB](https://www.g2.com/compare/matlab-vs-simulink)
- [Simulink vs Posit Team](https://www.g2.com/compare/posit-team-vs-simulink)
- [Simulink vs Mathematica](https://www.g2.com/compare/mathematica-vs-simulink)
- [Simulink vs Modelica](https://www.g2.com/compare/modelica-vs-simulink)
- [Simulink vs SageMath](https://www.g2.com/compare/sagemath-vs-simulink)
- [Simulink vs IBM SPSS Statistics](https://www.g2.com/compare/ibm-spss-statistics-vs-simulink)
- [Simulink vs Autodesk Fusion](https://www.g2.com/compare/autodesk-fusion-vs-simulink)
- [Simulink vs Maple](https://www.g2.com/compare/maple-vs-simulink)

  ### 5. [Mathematica](https://www.g2.com/products/mathematica/reviews)
By Wolfram Research
**Average Rating:** 4.1/5
**Total Reviews:** 86
Mathematica is a computational software program based on symbolic mathematics, developed by Wolfram Research.


Reviewers say compared to Scilab, Mathematica is:
- More expensive
Categories in common with Scilab: [Simulation & CAE](https://www.g2.com/categories/simulation-cae)

**Compare:** [Scilab vs Mathematica](https://www.g2.com/compare/mathematica-vs-scilab)
**Compare Mathematica with other alternatives:**
- [Mathematica vs GNU Octave](https://www.g2.com/compare/gnu-octave-vs-mathematica)
- [Mathematica vs MATLAB](https://www.g2.com/compare/matlab-vs-mathematica)
- [Mathematica vs Posit Team](https://www.g2.com/compare/mathematica-vs-posit-team)
- [Mathematica vs Simulink](https://www.g2.com/compare/mathematica-vs-simulink)
- [Mathematica vs Modelica](https://www.g2.com/compare/mathematica-vs-modelica)
- [Mathematica vs SageMath](https://www.g2.com/compare/mathematica-vs-sagemath)
- [Mathematica vs IBM SPSS Statistics](https://www.g2.com/compare/ibm-spss-statistics-vs-mathematica)
- [Mathematica vs Autodesk Fusion](https://www.g2.com/compare/autodesk-fusion-vs-mathematica)
- [Mathematica vs Maple](https://www.g2.com/compare/maple-vs-mathematica)

  ### 6. [Modelica](https://www.g2.com/products/modelica/reviews)
By Modelica Association
**Average Rating:** 4.2/5
**Total Reviews:** 21
Modelica is an open standard for modeling software.


Reviewers say compared to Scilab, Modelica is:
- More expensive
Categories in common with Scilab: [Simulation & CAE](https://www.g2.com/categories/simulation-cae)

**Compare:** [Scilab vs Modelica](https://www.g2.com/compare/modelica-vs-scilab)
**Compare Modelica with other alternatives:**
- [Modelica vs GNU Octave](https://www.g2.com/compare/gnu-octave-vs-modelica)
- [Modelica vs MATLAB](https://www.g2.com/compare/matlab-vs-modelica)
- [Modelica vs Posit Team](https://www.g2.com/compare/modelica-vs-posit-team)
- [Modelica vs Simulink](https://www.g2.com/compare/modelica-vs-simulink)
- [Modelica vs Mathematica](https://www.g2.com/compare/mathematica-vs-modelica)
- [Modelica vs SageMath](https://www.g2.com/compare/modelica-vs-sagemath)
- [Modelica vs IBM SPSS Statistics](https://www.g2.com/compare/ibm-spss-statistics-vs-modelica)
- [Modelica vs Autodesk Fusion](https://www.g2.com/compare/autodesk-fusion-vs-modelica)
- [Modelica vs Maple](https://www.g2.com/compare/maple-vs-modelica)

  ### 7. [SageMath](https://www.g2.com/products/sagemath/reviews)
By SageMath Project
**Average Rating:** 4.3/5
**Total Reviews:** 10
SageMath is a system for algebra and geometry experimentation via Python.


Reviewers say compared to Scilab, SageMath is:
- More expensive
Categories in common with Scilab: [Simulation & CAE](https://www.g2.com/categories/simulation-cae)

**Compare:** [Scilab vs SageMath](https://www.g2.com/compare/sagemath-vs-scilab)
**Compare SageMath with other alternatives:**
- [SageMath vs GNU Octave](https://www.g2.com/compare/gnu-octave-vs-sagemath)
- [SageMath vs MATLAB](https://www.g2.com/compare/matlab-vs-sagemath)
- [SageMath vs Posit Team](https://www.g2.com/compare/posit-team-vs-sagemath)
- [SageMath vs Simulink](https://www.g2.com/compare/sagemath-vs-simulink)
- [SageMath vs Mathematica](https://www.g2.com/compare/mathematica-vs-sagemath)
- [SageMath vs Modelica](https://www.g2.com/compare/modelica-vs-sagemath)
- [SageMath vs IBM SPSS Statistics](https://www.g2.com/compare/ibm-spss-statistics-vs-sagemath)
- [SageMath vs Autodesk Fusion](https://www.g2.com/compare/autodesk-fusion-vs-sagemath)
- [SageMath vs Maple](https://www.g2.com/compare/maple-vs-sagemath)

  ### 8. [IBM SPSS Statistics](https://www.g2.com/products/ibm-spss-statistics/reviews)
By IBM
**Average Rating:** 4.2/5
**Total Reviews:** 928
IBM SPSS Statistics is an integrated family of products that addresses the entire analytical process, from planning to data collection to analysis, reporting and deployment.


Reviewers say compared to Scilab, IBM SPSS Statistics is:
- More expensive
Categories in common with Scilab: [Statistical Analysis](https://www.g2.com/categories/statistical-analysis)

**Compare:** [Scilab vs IBM SPSS Statistics](https://www.g2.com/compare/ibm-spss-statistics-vs-scilab)
**Compare IBM SPSS Statistics with other alternatives:**
- [IBM SPSS Statistics vs GNU Octave](https://www.g2.com/compare/gnu-octave-vs-ibm-spss-statistics)
- [IBM SPSS Statistics vs MATLAB](https://www.g2.com/compare/ibm-spss-statistics-vs-matlab)
- [IBM SPSS Statistics vs Posit Team](https://www.g2.com/compare/ibm-spss-statistics-vs-posit-team)
- [IBM SPSS Statistics vs Simulink](https://www.g2.com/compare/ibm-spss-statistics-vs-simulink)
- [IBM SPSS Statistics vs Mathematica](https://www.g2.com/compare/ibm-spss-statistics-vs-mathematica)
- [IBM SPSS Statistics vs Modelica](https://www.g2.com/compare/ibm-spss-statistics-vs-modelica)
- [IBM SPSS Statistics vs SageMath](https://www.g2.com/compare/ibm-spss-statistics-vs-sagemath)
- [IBM SPSS Statistics vs Autodesk Fusion](https://www.g2.com/compare/autodesk-fusion-vs-ibm-spss-statistics)
- [IBM SPSS Statistics vs Maple](https://www.g2.com/compare/ibm-spss-statistics-vs-maple)

  ### 9. [Autodesk Fusion](https://www.g2.com/products/autodesk-fusion/reviews)
By Autodesk
**Average Rating:** 4.5/5
**Total Reviews:** 520
Autodesk Fusion is a comprehensive cloud software platform that integrates various tools for 3D design, manufacturing, electronics, simulation, and generative design. It serves as a collaborative, cloud-enabled CAD (Computer-Aided Design), CAM (Computer-Aided Manufacturing), CAE (Computer-Aided Engineering), and PCB (Printed Circuit Board) software.


Reviewers say compared to Scilab, Autodesk Fusion is:
- More expensive
- Better at support
Categories in common with Scilab: [Simulation & CAE](https://www.g2.com/categories/simulation-cae)

**Compare:** [Scilab vs Autodesk Fusion](https://www.g2.com/compare/autodesk-fusion-vs-scilab)
**Compare Autodesk Fusion with other alternatives:**
- [Autodesk Fusion vs GNU Octave](https://www.g2.com/compare/autodesk-fusion-vs-gnu-octave)
- [Autodesk Fusion vs MATLAB](https://www.g2.com/compare/autodesk-fusion-vs-matlab)
- [Autodesk Fusion vs Posit Team](https://www.g2.com/compare/autodesk-fusion-vs-posit-team)
- [Autodesk Fusion vs Simulink](https://www.g2.com/compare/autodesk-fusion-vs-simulink)
- [Autodesk Fusion vs Mathematica](https://www.g2.com/compare/autodesk-fusion-vs-mathematica)
- [Autodesk Fusion vs Modelica](https://www.g2.com/compare/autodesk-fusion-vs-modelica)
- [Autodesk Fusion vs SageMath](https://www.g2.com/compare/autodesk-fusion-vs-sagemath)
- [Autodesk Fusion vs IBM SPSS Statistics](https://www.g2.com/compare/autodesk-fusion-vs-ibm-spss-statistics)
- [Autodesk Fusion vs Maple](https://www.g2.com/compare/autodesk-fusion-vs-maple)

  ### 10. [Maple](https://www.g2.com/products/maple/reviews)
By Waterloo Maple
**Average Rating:** 4.3/5
**Total Reviews:** 15
Maple is a general-purpose computer algebra system developed and sold commercially by Waterloo Maple Inc.


Reviewers say compared to Scilab, Maple is:
- More expensive
- Better at support
Categories in common with Scilab: [Simulation & CAE](https://www.g2.com/categories/simulation-cae)

**Compare:** [Scilab vs Maple](https://www.g2.com/compare/maple-vs-scilab)
**Compare Maple with other alternatives:**
- [Maple vs GNU Octave](https://www.g2.com/compare/gnu-octave-vs-maple)
- [Maple vs MATLAB](https://www.g2.com/compare/matlab-vs-maple)
- [Maple vs Posit Team](https://www.g2.com/compare/maple-vs-posit-team)
- [Maple vs Simulink](https://www.g2.com/compare/maple-vs-simulink)
- [Maple vs Mathematica](https://www.g2.com/compare/maple-vs-mathematica)
- [Maple vs Modelica](https://www.g2.com/compare/maple-vs-modelica)
- [Maple vs SageMath](https://www.g2.com/compare/maple-vs-sagemath)
- [Maple vs IBM SPSS Statistics](https://www.g2.com/compare/ibm-spss-statistics-vs-maple)
- [Maple vs Autodesk Fusion](https://www.g2.com/compare/autodesk-fusion-vs-maple)


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