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Compare Maple and Scilab

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At a Glance
Maple
Maple
Star Rating
(15)4.3 out of 5
Market Segments
Enterprise (42.9% of reviews)
Information
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Maple
Scilab
Scilab
Star Rating
(64)4.5 out of 5
Market Segments
Small-Business (57.9% of reviews)
Information
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Scilab
AI Generated Summary
AI-generated. Powered by real user reviews.
  • Users report that Maple excels in data visualization with a score of 8.3, while Scilab, although competent, has a slightly lower score in this area. Reviewers mention that Maple's graphical capabilities allow for more intuitive presentations of complex data sets.
  • Reviewers mention that Scilab shines in ease of use with a score of 8.8 compared to Maple's 8.0. Users on G2 appreciate Scilab's user-friendly interface, which makes it easier for beginners to navigate and utilize its features effectively.
  • G2 users highlight that Maple has superior quality control features, scoring 8.2, which is essential for enterprise-level applications. In contrast, Scilab's quality control features are not as robust, leading some users to express concerns about reliability in critical applications.
  • Users say that Scilab offers better support for finite element analysis with a score of 7.2, while Maple's capabilities in this area are less favored. Reviewers mention that Scilab's tools are more tailored for engineering applications, making it a preferred choice for users in that field.
  • Reviewers mention that Maple's collaboration features score 8.5, indicating a strong emphasis on teamwork and project sharing, which is particularly beneficial for enterprise users. In contrast, Scilab's collaboration tools are perceived as less effective, which may hinder team-based projects.
  • Users report that Maple's product direction is rated at 7.9, which some users find concerning, as they seek assurance of ongoing development and support. Scilab, with a higher score of 8.8, is viewed more favorably in terms of future updates and enhancements, making it a more attractive option for long-term users.
Pricing
Entry-Level Pricing
Maple
No pricing available
Scilab
No pricing available
Free Trial
Maple
No trial information available
Scilab
No trial information available
Ratings
Meets Requirements
8.9
11
9.0
42
Ease of Use
8.0
11
8.8
42
Ease of Setup
Not enough data
Not enough data
Ease of Admin
Not enough data
Not enough data
Quality of Support
8.5
8
8.2
35
Has the product been a good partner in doing business?
Not enough data
Not enough data
Product Direction (% positive)
7.9
11
8.8
40
Features by Category
Not enough data
8.3
25
Administration
Not enough data
8.2
13
Not enough data
8.9
14
Not enough data
8.5
14
Capabilities
Not enough data
8.3
22
Not enough data
8.0
17
Not enough data
8.1
15
Not enough data
8.7
15
Methodology
Not enough data
8.1
12
Not enough data
8.3
15
Not enough data
8.3
18
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
7.6
23
Design
Not enough data
5.7
7
Not enough data
7.8
10
Not enough data
8.0
10
Not enough data
8.1
7
Tools
Not enough data
8.6
7
Not enough data
7.2
10
Not enough data
8.0
9
Work
Not enough data
8.1
14
Not enough data
8.2
13
Not enough data
7.2
12
Not enough data
7.1
8
Not enough data
6.7
7
Environment
Not enough data
7.6
12
Not enough data
7.7
13
Not enough data
7.3
10
Not enough data
8.3
15
Categories
Categories
Shared Categories
Maple
Maple
Scilab
Scilab
Maple and Scilab are categorized as Simulation & CAE
Unique Categories
Maple
Maple has no unique categories
Scilab
Scilab is categorized as Statistical Analysis
Reviews
Reviewers' Company Size
Maple
Maple
Small-Business(50 or fewer emp.)
21.4%
Mid-Market(51-1000 emp.)
35.7%
Enterprise(> 1000 emp.)
42.9%
Scilab
Scilab
Small-Business(50 or fewer emp.)
57.9%
Mid-Market(51-1000 emp.)
24.6%
Enterprise(> 1000 emp.)
17.5%
Reviewers' Industry
Maple
Maple
Higher Education
28.6%
Information Technology and Services
14.3%
Computer Software
14.3%
Research
7.1%
Mechanical or Industrial Engineering
7.1%
Other
28.6%
Scilab
Scilab
Higher Education
21.1%
Mechanical or Industrial Engineering
10.5%
Computer Software
7.0%
Chemicals
7.0%
Research
5.3%
Other
49.1%
Alternatives
Maple
Maple Alternatives
MATLAB
MATLAB
Add MATLAB
Mathematica
Mathematica
Add Mathematica
GNU Octave
GNU Octave
Add GNU Octave
SageMath
SageMath
Add SageMath
Scilab
Scilab Alternatives
GNU Octave
GNU Octave
Add GNU Octave
MATLAB
MATLAB
Add MATLAB
Posit
Posit
Add Posit
Simulink
Simulink
Add Simulink
Discussions
Maple
Maple Discussions
Monty the Mongoose crying
Maple has no discussions with answers
Scilab
Scilab Discussions
Monty the Mongoose crying
Scilab has no discussions with answers