Skip to content
Gratistack, home
Menu

Free alternatives to MATLAB

Top pick: GNU Octave. Switching saves about $940 USD a year.

MATLAB, Standard individual, annual license

$940 USDa year

≈$1,340.16 CAD (converted from USD)

Every pick below has a free version.

Runs on
  • Windows
  • macOS
  • Linux
  • Web
Key file formats
.m.mat.slx.mlx.csv.xlsx

Filter alternatives

4 alternatives

Top pick

1 tool

The editor’s first choice for most people switching.

  1. Rank 1: GNU Octave

    Best for running MATLAB-style scripts for free

    License: Open source
    • Windows
    • macOS
    • Linux
    Status: Active
    • M: opens and saves, partial fidelity. Runs most scripts; some toolbox functions and newer syntax are missing
    • MAT: opens and saves, partial fidelity. Reads and writes MAT files; some MATLAB object types such as tables do not carry over
    • CSV: opens and saves, full fidelity
    • XLSX: opens and saves, partial fidelity. Through the io package from Octave Forge

    Free GPL software for Windows, Mac and Linux. Most .m scripts run with small changes; Simulink models and toolbox-specific code do not.

Strong

2 tools

Covers most of the same work, with trade-offs noted on each card.

  1. Rank 2: Python

    Best for general-purpose scientific computing

    License: Open source
    • Windows
    • macOS
    • Linux
    Status: Active
    • DTA: opens and saves, partial fidelity. Through pandas read_stata and to_stata
    • CSV: opens and saves, full fidelity
    • XLSX: opens and saves, partial fidelity. Through pandas with openpyxl
    • SAV: opens and saves, partial fidelity. Through pyreadstat
    • MAT: opens and saves, partial fidelity. Through scipy.io for older files and h5py for v7.3 files

    Free and open source. Use NumPy and SciPy for MATLAB-style numerics. Reads and writes .mat files through scipy.io.

  2. Rank 3: Julia

    Best for fast numerical code and differential equations

    License: Open source
    • Windows
    • macOS
    • Linux
    Status: Active
    • MAT: opens and saves, partial fidelity. Through the MAT.jl package
    • CSV: opens and saves, full fidelity. Through the CSV.jl package
    • XLSX: opens and saves, partial fidelity. Through the XLSX.jl package

    Free under the MIT license. A newer ecosystem than MATLAB's. Reads .mat files through the MAT.jl package.

Situational

1 tool

Right for specific needs, or not yet mature enough to recommend widely.

  1. Rank 4: Scilab

    Best for block-diagram modeling with Xcos

    License: Open source
    • Windows
    • macOS
    • Linux
    Status: Active
    • M: opens only, partial fidelity. A translator converts MATLAB scripts to Scilab code
    • MAT: opens and saves, partial fidelity. Loads and saves MAT files for common data types
    • CSV: opens and saves, full fidelity
    • XLSX: opens only, partial fidelity. Imports Excel sheets

    Free GPL software for Windows, Mac and Linux, published by Dassault Systemes. Its syntax differs from MATLAB's, so scripts need translating.

Sponsor this page: $149 for 30 days. Sponsors appear above the ranking, labeled; the ranking itself is not for sale.

Feature parity

How each alternative covers what people use MATLAB for. Numbers link to editor notes.

Feature parity with MATLAB
FeatureGNU OctavePythonJuliaScilab
Computation
Matrix computing and numerical analysisYesNote 1YesNote 2YesNote 3YesNote 4
Libraries
Domain toolboxes (signal, control, statistics)PartialNote 5PartialNote 6PartialNote 7PartialNote 8
Modeling
Simulink block-diagram modelingNoNoPartialNote 9PartialNote 10
Interface
Live scripts with code and outputNoNote 11PartialNote 12PartialNote 13No
Output
2D and 3D plottingPartialNote 14YesNote 15PartialNote 16PartialNote 17
Deployment
App building with GUIsPartialNote 18PartialNote 19PartialNote 20PartialNote 21
Code generation for C, C++ and HDLNoPartialNote 22NoNo
Parity score36%57%50%43%
  1. GNU Octave, Matrix computing and numerical analysis: Syntax is largely compatible with MATLAB
  2. Python, Matrix computing and numerical analysis: NumPy arrays and SciPy
  3. Julia, Matrix computing and numerical analysis: Arrays and linear algebra are built in
  4. Scilab, Matrix computing and numerical analysis: Matrix language with its own syntax
  5. GNU Octave, Domain toolboxes (signal, control, statistics): Octave Forge packages for signal and control; fewer than MathWorks toolboxes
  6. Python, Domain toolboxes (signal, control, statistics): Many libraries cover the same ground but they are separate packages
  7. Julia, Domain toolboxes (signal, control, statistics): Registered packages cover signal and optimization work
  8. Scilab, Domain toolboxes (signal, control, statistics): ATOMS modules cover signal and control
  9. Julia, Simulink block-diagram modeling: ModelingToolkit offers equation-based modeling; no block diagrams
  10. Scilab, Simulink block-diagram modeling: Xcos builds block diagrams but does not open .slx files
  11. GNU Octave, Live scripts with code and output: No .mlx live scripts
  12. Python, Live scripts with code and output: Jupyter notebooks; not .mlx files
  13. Julia, Live scripts with code and output: Pluto and Jupyter notebooks; not .mlx files
  14. GNU Octave, 2D and 3D plotting: 2D and 3D plots with fewer options than MATLAB
  15. Python, 2D and 3D plotting: matplotlib and other libraries
  16. Julia, 2D and 3D plotting: Plots.jl and Makie need packages and setup
  17. Scilab, 2D and 3D plotting: 2D and 3D plots
  18. GNU Octave, App building with GUIs: Basic GUI controls; no App Designer
  19. Python, App building with GUIs: Tkinter and Qt; web frameworks for dashboards
  20. Julia, App building with GUIs: Web and GUI packages exist; no App Designer
  21. Scilab, App building with GUIs: Scripted GUI controls
  22. Python, Code generation for C, C++ and HDL: Cython and Numba compile Python; no C or HDL generation

Not covered by any free alternative yet: Domain toolboxes (signal, control, statistics), Simulink block-diagram modeling, Live scripts with code and output, App building with GUIs, Code generation for C, C++ and HDL. See all feature gaps

File formats

Can each alternative open and save MATLAB files?

Opening and saving MATLAB files
FormatGNU OctavePythonJuliaScilab
.mOpens and savesNote 1Partial fidelityNoNote 2NoNote 3Opens onlyNote 4Partial fidelity
.matOpens and savesNote 5Partial fidelityOpens and savesNote 6Partial fidelityOpens and savesNote 7Partial fidelityOpens and savesNote 8Partial fidelity
.slxNoNote 9NoNote 10NoNote 11NoNote 12
.mlxNoNote 13NoNote 14NoNote 15NoNote 16
.csvOpens and savesFull fidelityOpens and savesFull fidelityOpens and savesNote 17Full fidelityOpens and savesFull fidelity
.xlsxOpens and savesNote 18Partial fidelityOpens and savesNote 19Partial fidelityOpens and savesNote 20Partial fidelityOpens onlyNote 21Partial fidelity
  1. GNU Octave, .m: Runs most scripts; some toolbox functions and newer syntax are missing
  2. Python, .m: Python cannot run MATLAB code
  3. Julia, .m: Cannot run MATLAB code
  4. Scilab, .m: A translator converts MATLAB scripts to Scilab code
  5. GNU Octave, .mat: Reads and writes MAT files; some MATLAB object types such as tables do not carry over
  6. Python, .mat: Through scipy.io for older files and h5py for v7.3 files
  7. Julia, .mat: Through the MAT.jl package
  8. Scilab, .mat: Loads and saves MAT files for common data types
  9. GNU Octave, .slx: No Simulink support
  10. Python, .slx: No Simulink support
  11. Julia, .slx: No Simulink support
  12. Scilab, .slx: Xcos does not open Simulink models
  13. GNU Octave, .mlx: No live script support
  14. Python, .mlx: No MATLAB live script support
  15. Julia, .mlx: No live script support
  16. Scilab, .mlx: No live script support
  17. Julia, .csv: Through the CSV.jl package
  18. GNU Octave, .xlsx: Through the io package from Octave Forge
  19. Python, .xlsx: Through pandas with openpyxl
  20. Julia, .xlsx: Through the XLSX.jl package
  21. Scilab, .xlsx: Imports Excel sheets

What switching saves

Switching saves about $940 USD / ≈$1,340 CAD (estimated from the USD price) a year. Prices checked ; ≈ means converted from USD.

Based on Standard individual, annual license. Price source. USD to CAD at 1.4257 as of Oct 7, 2026.

About this page

Last verified . Ranking: tier first, then the published score.

Something wrong or out of date? Report outdated info.

Related

MATLAB is a product of MathWorks, named here for comparison only. Platforms listed for MATLAB: Windows, macOS, Linux, Web.