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Wolfram's flagship product Mathematica is a modern technical computing application featuring a flexible symbolic coding language and a wide array of graphing and data visualization capabilities.Mathematica: great for OrigamiI use Mathematica as my "Swiss army knife" of analysis, design, and modeling of origami-related structures and mechanisms. It allows me to model origami problems at varying levels of idealization, ranging from simple 2-D polygonal models, to 3-D shapes with thickness, stress/strain relationships, and analytic descriptions of curved folding.,It allows straightforward integration of analytic analysis of algebraic expressions and their numerical implemented. Supports varying programmatic paradigms, so one can choose what best fits the problem or task: pure functions, procedural programming, list processing, and even (with a bit of setup) object-oriented programming. The extensive and rich tools for graphical rendering make it very easy to not just get 2D and 3D renderings of final output, but also to do quick-and-dirty 2D and 3D rendering of intermediate results and/or debugging results.,It is, unfortunately, quite slow compared to, say, C code implementation of numerical routines. (However, getting a routine up and running is still vastly faster in Mathematica, so the tradeoff is worth it.) New functionality is sometimes not implemented as fully as it could be: MeshRegions are still fairly limited. The underlying core doesn't work equally well across platforms: things that run fine on Mac crash on Windows.,10,It lets me solve many of the origami-related problems that I've taken on.,MATLABWolfram Mathematica is the platform of choice for solving insanely hard problemsWolfram Mathematica is a desktop environment for building applications in the Wolfram Language. The Wolfram Language, in turn, is a functional programming utility for solving all sorts of complex problems in a wide variety of fields, from science to business and government. Ours is a consultancy that uses tools like Mathematica to solve insanely hard problems for our clients, which are mostly large corporations with complex operations. Everyone at our small firm uses Mathematica in one way or another. While Mathematica can quite literally do anything, the most common use case is as a means to build a mathematical model or representation of some complex system that one wishes to study using data. Along the way the model builder can use the vast array of internal functions (6500 or so at last count) to perform operations as diverse as image processing, statistics, and optimization. The real benefit of Mathematica is in its ability to allow model builders to generate such models very quickly with less code than other languages like Python or R.,You can stay in one environment as you progress from idea to prototype to production code to deployment; this hastens the development cycle at every step along the way You can take advantage of the thousands (> 6000) functions that perform many math and logic transformations that are common to analysis today The notebook interface is a very natural way to program, and allows code to be interwoven with explanatory text. Mathematica is one of the most stable software platforms in the world, in existence for 30 years.,Depending on the size of the application, the cost of licenses can be prohibitive in some cases, especially for Wolfram Private Cloud.,10,Mathematica is our "go to" environment for developing solutions for our clients, so I suppose you could say that it is solely responsible for our revenues. On occasion we do use other platforms but Mathematica is a core component of our offer to clients.,One of the best computation enginesWolfram is used for analytics purpose and some time we use this for audio and image processing as well. And, I myself use this product for solving problems of mathematics which include calculus. This tool is very powerful for analysis and it generates very good looking plots. Solving mathematical problem using this is very interesting.,Doing the analysis is very good, plotting the data, getting the insight from data using this is easy and output looks pretty good Solving mathematical problems, with detailed solutions step by step (mainly calculus problems) You can also query this knowledge engine in simple English. It has ability to interpret that and will give you answer accordingly Nowadays, it provides API to use, so you can do image processing, video/audio using this,Needs lot of learning. Wolfram has a very vast language. It take lots of time to understand and learn it Input system is not good, that needs improvement. Sometimes, writing an equation is very difficult in this tool,8,Easy to solve huge mathematical equations, so it saved time there Doing analysis and plotting graphs is also another plus point Learning is very slow, and it took lot of time to learn its scripting language,MATLAB,MATLAB, TensorFlow, Splunk Enterprise, New Relic APM, KerasBest computation knowledge engine with great powerI have used Mathematica for doing heavy computation and for data visualisations. Basically, I have used this tool when I was in my college. It is being used by one department of our college who are doing some kind of research. We have used this to do the heavy operation around matrix and visualising the data. We are using this solve a research problem.,It is a very powerful tool for data visualisation and computation. Solving mathematics mainly calculus is very easy. Visualising the solution step by step is a great thing you can see in this tool. It's easy to do heavy computation like finding the inverse of a big matrix, doing matrix multiplications etc. One of the best features is that it can also understand natural language. So, you can write a query in simple English and it can interpret that and can find a solution for you.,The first and the biggest con is that it takes a long time to learn this language. Writing a mathematical equation is not so easy in this tool. And its documentation is very big and sometimes I feel that the documentation is confusing. Pricing for this tool is too high. Not everyone can afford to buy this product and the free trial has lots of limitation. And I think the last con is that its interpreter is slow.,8,This tool helps to visualise the mathematical problem in a very easy way. It can show you the step by step solution to integral problems. But when you are using the tool it may limit your understanding of the basic problem. And you may miss out on understanding the basic of mathematics itself. It helped me a lot to do my thing in a very easy way. And understanding the data is also easy in this as you can easily visualize it.,IBM Watson Analytics,Tableau Desktop, IBM Watson Analytics, Google Analytics
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Wolfram Mathematica
11 Ratings
Score 8.9 out of 101
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Mathematica Reviews

Mathematica
11 Ratings
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Score 8.9 out of 101
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Reviews (1-4 of 4)
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Robert J. Lang profile photo
November 09, 2018

User Review: "Mathematica: great for Origami"

Score 10 out of 10
Vetted Review
Verified User
Review Source
I use Mathematica as my "Swiss army knife" of analysis, design, and modeling of origami-related structures and mechanisms. It allows me to model origami problems at varying levels of idealization, ranging from simple 2-D polygonal models, to 3-D shapes with thickness, stress/strain relationships, and analytic descriptions of curved folding.
  • It allows straightforward integration of analytic analysis of algebraic expressions and their numerical implemented.
  • Supports varying programmatic paradigms, so one can choose what best fits the problem or task: pure functions, procedural programming, list processing, and even (with a bit of setup) object-oriented programming.
  • The extensive and rich tools for graphical rendering make it very easy to not just get 2D and 3D renderings of final output, but also to do quick-and-dirty 2D and 3D rendering of intermediate results and/or debugging results.
  • It is, unfortunately, quite slow compared to, say, C code implementation of numerical routines. (However, getting a routine up and running is still vastly faster in Mathematica, so the tradeoff is worth it.)
  • New functionality is sometimes not implemented as fully as it could be: MeshRegions are still fairly limited.
  • The underlying core doesn't work equally well across platforms: things that run fine on Mac crash on Windows.
It works very well for modeling origami.
Read Robert J. Lang's full review
George Danner profile photo
November 09, 2018

Review: "Wolfram Mathematica is the platform of choice for solving insanely hard problems"

Score 10 out of 10
Vetted Review
Reseller
Review Source
Wolfram Mathematica is a desktop environment for building applications in the Wolfram Language. The Wolfram Language, in turn, is a functional programming utility for solving all sorts of complex problems in a wide variety of fields, from science to business and government.

Ours is a consultancy that uses tools like Mathematica to solve insanely hard problems for our clients, which are mostly large corporations with complex operations. Everyone at our small firm uses Mathematica in one way or another.

While Mathematica can quite literally do anything, the most common use case is as a means to build a mathematical model or representation of some complex system that one wishes to study using data. Along the way the model builder can use the vast array of internal functions (6500 or so at last count) to perform operations as diverse as image processing, statistics, and optimization. The real benefit of Mathematica is in its ability to allow model builders to generate such models very quickly with less code than other languages like Python or R.
  • You can stay in one environment as you progress from idea to prototype to production code to deployment; this hastens the development cycle at every step along the way
  • You can take advantage of the thousands (> 6000) functions that perform many math and logic transformations that are common to analysis today
  • The notebook interface is a very natural way to program, and allows code to be interwoven with explanatory text.
  • Mathematica is one of the most stable software platforms in the world, in existence for 30 years.
  • Depending on the size of the application, the cost of licenses can be prohibitive in some cases, especially for Wolfram Private Cloud.
Well suited for:
  • A data science or analytics team performing analysis in support of a business problem
  • Building a sandbox for corporate analytical capability
  • Rapid prototyping of ideas for helpful applications of scientific/engineering/technical approaches
  • Building intelligent algorithms that underlie systems or web applications

Less appropriate for:
  • Full scale web application development
  • User interface development
Read George Danner's full review
Shalinee Singh profile photo
October 12, 2018

Mathematica Review: "One of the best computation engines"

Score 8 out of 10
Vetted Review
Verified User
Review Source
Wolfram is used for analytics purpose and some time we use this for audio and image processing as well. And, I myself use this product for solving problems of mathematics which include calculus. This tool is very powerful for analysis and it generates very good looking plots. Solving mathematical problem using this is very interesting.
  • Doing the analysis is very good, plotting the data, getting the insight from data using this is easy and output looks pretty good
  • Solving mathematical problems, with detailed solutions step by step (mainly calculus problems)
  • You can also query this knowledge engine in simple English. It has ability to interpret that and will give you answer accordingly
  • Nowadays, it provides API to use, so you can do image processing, video/audio using this
  • Needs lot of learning. Wolfram has a very vast language. It take lots of time to understand and learn it
  • Input system is not good, that needs improvement.
  • Sometimes, writing an equation is very difficult in this tool
If you are doing some kind of analysis and want most of the thing automated then I would suggest using this tool. Also, if you are developing any solution which includes solving big mathematical equations and need to do some image processing, then you should use this.
Read Shalinee Singh's full review
Gaurav Yadav profile photo
August 17, 2018

Mathematica Review: "Best computation knowledge engine with great power"

Score 8 out of 10
Vetted Review
Verified User
Review Source
I have used Mathematica for doing heavy computation and for data visualisations. Basically, I have used this tool when I was in my college. It is being used by one department of our college who are doing some kind of research. We have used this to do the heavy operation around matrix and visualising the data. We are using this solve a research problem.
  • It is a very powerful tool for data visualisation and computation.
  • Solving mathematics mainly calculus is very easy. Visualising the solution step by step is a great thing you can see in this tool.
  • It's easy to do heavy computation like finding the inverse of a big matrix, doing matrix multiplications etc.
  • One of the best features is that it can also understand natural language. So, you can write a query in simple English and it can interpret that and can find a solution for you.
  • The first and the biggest con is that it takes a long time to learn this language. Writing a mathematical equation is not so easy in this tool. And its documentation is very big and sometimes I feel that the documentation is confusing.
  • Pricing for this tool is too high. Not everyone can afford to buy this product and the free trial has lots of limitation.
  • And I think the last con is that its interpreter is slow.
It will be very well suited when you are developing anything around mathematics as it can solve almost everything mathematics from calculus to algebra. Also, visualising data with this tool is very easy and efficient. Now, it also provides the speech and image API, so you can also use this tool while doing something around speech and images like speech to text conversion or finding some information out of images etc.
Read Gaurav Yadav's full review

Mathematica Scorecard Summary

Feature Scorecard Summary

Report Formatting Templates (2)
8.5
Drill-down analysis (3)
9.0
Formatting capabilities (3)
9.3
Integration with R or other statistical packages (3)
8.7
Report sharing and collaboration (4)
8.0
Publish to Web (2)
9.5
Publish to PDF (3)
8.3
Report Versioning (2)
8.0
Report Delivery Scheduling (1)
10
Delivery to Remote Servers (1)
10
Pre-built visualization formats (heatmaps, scatter plots etc.) (4)
9.8
Location Analytics / Geographic Visualization (3)
9.3
Predictive Analytics (3)
8.3

About Mathematica

Wolfram's flagship product Mathematica is a modern technical computing application featuring a flexible symbolic coding language and a wide array of graphing and data visualization capabilities.

Mathematica Technical Details

Operating Systems: Unspecified
Mobile Application:No