Link copied to clipboard

# GNU Octave vs Wolfram Mathematica Comparison - What are their main differences?

Share
[
Export
](/compare/gnu-octave/wolfram-mathematica/export.csv)

GNU OctaveMathematica[+ Add Product](#)

Pricing

**GNU Octave**
No pricing available

**Wolfram Mathematica**
No pricing available

**Pricing Insights**
from reviews

Time to Implement

**GNU Octave**
Not enough reviews yet

**Wolfram Mathematica**
Not enough reviews yet

Return on Investment

**GNU Octave**
Not enough reviews yet

**Wolfram Mathematica**
Not enough reviews yet

Perceived Cost

**GNU Octave**
$$$$$

**Wolfram Mathematica**
$$$$$

Average Discount

**GNU Octave**
Not enough reviews yet

**Wolfram Mathematica**
Not enough reviews yet

**Pros & Cons**
from reviews

**GNU Octave**
Not enough data

**Wolfram Mathematica**
Not enough data

Screenshots

**GNU Octave**
No screenshot available

**Wolfram Mathematica**
 ![Wolfram Mathematica screenshot](https://images.g2crowd.com/cdn-cgi/image/width=600,height=600,fit=scale-down,format=auto,onerror=redirect,/https://images.g2crowd.com/uploads/attachment/file/1844194/Mathematica-ComplexPlot3D.png)

**Ratings**
from reviews

Meets Requirements

**GNU Octave**

8.3

8.343

**Wolfram Mathematica**

8.4

8.478

Ease of Use

**GNU Octave**

8.4

8.443

**Wolfram Mathematica**

7.3

7.380

Ease of Setup

**GNU Octave**
Not enough data

**Wolfram Mathematica**
Not enough data

Ease of Admin

**GNU Octave**
Not enough data

**Wolfram Mathematica**
Not enough data

Quality of Support

**GNU Octave**

8.2

8.239

**Wolfram Mathematica**

7.9

7.976

Has the product been a good partner in doing business?

**GNU Octave**
Not enough data

**Wolfram Mathematica**
Not enough data

Product Direction (% positive)

**GNU Octave**

7.7

7.741

**Wolfram Mathematica**

8.1

8.179

**Features**
ratings from reviews

Simulation & CAE

8.5

13

8.5

15

Statistical Analysis

8.4

21

Not enough data

User Insights

**Reviewers' Company Size**

Small-Business(50 or fewer emp.)
66.0%

Mid-Market(51-1000 emp.)
17.0%

Enterprise(\> 1000 emp.)
17.0%

Small-Business(50 or fewer emp.)
66.0%

Mid-Market(51-1000 emp.)
17.0%

Enterprise(\> 1000 emp.)
17.0%

Small-Business(50 or fewer emp.)
31.4%

Mid-Market(51-1000 emp.)
23.3%

Enterprise(\> 1000 emp.)
45.3%

Small-Business(50 or fewer emp.)
31.4%

Mid-Market(51-1000 emp.)
23.3%

Enterprise(\> 1000 emp.)
45.3%

**Reviewers' Industry**

[![GNU Octave](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_b7e89f607ee81a33926914cf8b010785/gnu-octave.png "GNU Octave")](https://www.g2.com/products/gnu-octave/reviews)
GNU Octave

Research
11.3%

Computer Software
11.3%

Defense & Space
5.7%

Electrical/Electronic Manufacturing
5.7%

Information Technology and Services
5.7%

Other
60.4%

[![Wolfram Mathematica](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_ddec2ec87407ae2a61c528156f73b034/wolfram-mathematica.png "Wolfram Mathematica")](https://www.g2.com/products/wolfram-mathematica/reviews)
Wolfram Mathematica

Research
17.4%

Information Technology and Services
9.3%

Higher Education
8.1%

Automotive
7.0%

Computer Software
7.0%

Other
51.2%

FAQs

## GNU Octave vs Mathematica FAQs

Generated using AI

Last updated: August 14, 2026

### What is the difference between Mathematica vs GNU Octave?

GNU Octave is rated slightly higher than Mathematica by G2 reviewers, with Octave favored for its ease of use and open-source accessibility, while Mathematica is recognized for its advanced symbolic computation and visualization capabilities.

| [Mathematica](https://www.g2.com/products/mathematica/reviews) | [GNU Octave](https://www.g2.com/products/gnu-octave/reviews) |
| --- | --- |
| 4.1/5 (86 reviews) | 4.2/5 (55 reviews) |
| Enterprise | Small-Business |
| 7.3 | 8.4 |
| 7.9 | 8.2 |
| Advanced symbolic computation and visualization | Open-source, MATLAB-compatible, easy to use |

### How do the pricing models of Mathematica and GNU Octave compare?

GNU Octave is considered the stronger value by reviewers, reflected in its higher satisfaction with price and cost-related dimensions.

- **Mathematica:** Reviewers frequently mention that Mathematica is expensive and best suited for heavy users or institutions, with several noting the license price as a barrier for low-use or basic users.
- **GNU Octave:** Reviewers consistently highlight that GNU Octave is free and open source, making it accessible to students and small businesses, and a preferred alternative to paid solutions.
- **Switching reasons:** Many reviewers cite cost savings and the lack of licensing fees as primary reasons for choosing GNU Octave over paid alternatives like Mathematica or MATLAB.

### What are the best alternatives to Mathematica and GNU Octave?

The best alternatives to Mathematica and GNU Octave are Scilab and MATLAB, with both products also compared directly in this category.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [Mathematica](https://www.g2.com/products/mathematica/reviews) | 4.1/5 (86) | Enterprise | Expensive, best for heavy users | Advanced symbolic computation and visualization |
| [GNU Octave](https://www.g2.com/products/gnu-octave/reviews) | 4.2/5 (55) | Small-Business | Free and open source | MATLAB compatibility, ease of use |
| [Scilab](https://www.g2.com/products/scilab/reviews) | 4.5/5 (64) | Small-Business | — | Open-source alternative for numerical computation |
| [MATLAB](https://www.g2.com/products/matlab/reviews) | 4.5/5 (771) | Small-Business | — | Industry-standard for numerical and engineering computation |

### Which Simulation & CAE features should I prioritize when comparing Mathematica and GNU Octave?

Buyers should prioritize symbolic computation, numerical analysis, visualization capabilities, ease of use, and integration with other tools when comparing Mathematica and GNU Octave.

- **Symbolic computation:** Mathematica is frequently cited for its advanced symbolic computation capabilities, while GNU Octave is primarily focused on numerical computation.
- **Numerical analysis:** Both products are used for numerical analysis, but GNU Octave is highlighted for its MATLAB compatibility and efficient matrix operations.
- **Visualization capabilities:** Mathematica is praised for its powerful and customizable visualizations, while GNU Octave offers basic plotting functions with room for improvement.
- **Ease of use:** GNU Octave scores higher on Ease of Use (8.4 vs 7.3), with reviewers noting its intuitive interface and lower learning curve.
- **Integration with other tools:** GNU Octave is noted for its compatibility with Python and MATLAB, while Mathematica integrates with Wolfram Alpha and supports external data sources.

### What are the pros and cons of Mathematica vs GNU Octave?

Mathematica's headline strength is advanced symbolic computation and visualization, while GNU Octave's is its open-source accessibility and MATLAB compatibility.

- **Mathematica strengths:** Advanced symbolic computation, powerful visualization tools, integration with Wolfram Alpha, and extensive mathematical functions.
- **Mathematica trade-offs:** Higher cost, steeper learning curve, and less accessible for beginners or those with limited hardware.
- **GNU Octave strengths:** Free and open source, high compatibility with MATLAB, intuitive interface, efficient for numerical and matrix operations, and accessible to students and small businesses.
- **GNU Octave trade-offs:** Limited advanced visualization features, fewer built-in toolboxes compared to MATLAB or Mathematica, and occasional interface or documentation limitations.

### Is Mathematica or GNU Octave better for small businesses?

GNU Octave is better suited for small businesses, as reflected by its largest reviewer segment and positive sentiment from small-business users.

- **Mathematica:** Largest segment is Enterprise, with reviewers noting its suitability for research institutions and advanced users.
- **GNU Octave:** Largest segment is Small-Business, with reviewers consistently highlighting its accessibility, free licensing, and ease of use for small teams and students.

### Which Simulation & CAE platform has better integrations?

Reviewers do not favor either Mathematica or GNU Octave for integrations, with no significant integration mentions for either product.

- **Mathematica:** Reviewers mention integration with Wolfram Alpha and support for external data sources, but no third-party integration tools are cited in recent reviews.
- **GNU Octave:** Reviewers note compatibility with Python and MATLAB, but no specific third-party integration tools are highlighted in recent reviews.

### How do Mathematica and GNU Octave compare on customer support?

GNU Octave and Mathematica are rated in close parity on Quality of Support, with GNU Octave scoring 8.2 and Mathematica 7.9, a difference below the materiality threshold.

- **Mathematica:** Reviewers describe support as generally responsive but note occasional delays and less active engagement for beginners.
- **GNU Octave:** Reviewers highlight strong community support and accessible documentation, with some noting the open-source community as a key resource.

### Which is easier to implement, Mathematica or GNU Octave?

GNU Octave is rated higher for Ease of Setup, with a score of 8.4 compared to Mathematica's 7.3, indicating a smoother implementation experience.

- **Mathematica:** Reviewers mention a steeper learning curve and the need for prior mathematical knowledge, but also note that setup is straightforward for experienced users.
- **GNU Octave:** Reviewers consistently highlight its easy installation process, intuitive interface, and suitability for quick onboarding, especially for those familiar with MATLAB.

Alternatives

**GNU Octave Alternatives**

 ![Scilab](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_6e50bdab7bc21f5fa01a7bd2ca7f33da/scilab.jpg "Scilab")

[
Scilab
](/products/scilab/reviews)

 ![MATLAB](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_d5738f5e7922b4552c3ba543a2b9dee6/matlab.jpeg "MATLAB")

[
MATLAB
](/products/matlab/reviews)

 ![Posit Team](https://images.g2crowd.com/uploads/product/hd_favicon/ca6ffefb15801ddbeaf9a3c6c95e53c8/posit-team.svg "Posit Team")

[
Posit
](/products/posit-team/reviews)

 ![Simulink](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_d5738f5e7922b4552c3ba543a2b9dee6/simulink.jpeg "Simulink")

[
Simulink
](/products/simulink/reviews)

**Wolfram Mathematica Alternatives**

 ![MATLAB](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_d5738f5e7922b4552c3ba543a2b9dee6/matlab.jpeg "MATLAB")

[
MATLAB
](/products/matlab/reviews)

 ![Scilab](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_6e50bdab7bc21f5fa01a7bd2ca7f33da/scilab.jpg "Scilab")

[
Scilab
](/products/scilab/reviews)

 ![IBM SPSS Statistics](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_24bb2b0b5af8e7d875ea09d767bcb097/ibm-spss-statistics.jpg "IBM SPSS Statistics")

[
SPSS Statistics
](/products/ibm-spss-statistics/reviews)

 ![Autodesk Fusion](https://images.g2crowd.com/uploads/product/hd_favicon/28ab5b3990e257fc5851e9730734a9cc/autodesk-fusion.svg "Autodesk Fusion")

[
Autodesk Fusion
](/products/autodesk-fusion/reviews)

## GNU Octave vs Wolfram Mathematica

- Reviewers felt that Wolfram Mathematica meets the needs of their business better than GNU Octave.
- When comparing quality of ongoing product support, reviewers felt that GNU Octave is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Wolfram Mathematica over GNU Octave.