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Wolfram Research

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93 reviews
  • 3 profiles
  • 3 categories
Average star rating
4.1
Serving customers since
1987

Profile Name

Star Rating

42
43
6
2
0

Wolfram Research Reviews

Review Filters
Profile Name
Star Rating
42
43
6
2
0
Rakesh K.
RK
Rakesh K.
MCA | Enthusiast in AI & ML
02/24/2024
Validated Reviewer
Review source: G2 invite
Incentivized Review

A Perfect IDE for Skilled Developers

Wolfram Workbench is a very good and powerfull tool. It provides a great integrated development environment for developers. A lot of functions and plugins make it more efficient and productive. Integration with other softwares and tools is very easy and seamless. As wolfram is widely used now a days, hence descent support it available.
John Andrew K.
JK
John Andrew K.
PhD at University of Crete
10/31/2023
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Most complete CAS software available

The fact that it can do both numerical and theoretical calculations easily, compose test, make applets that you can view and use in iPad too. The connectivity with wolfram alpha is a nice bonus!
Verified User in Medical Devices
UM
Verified User in Medical Devices
07/05/2023
Validated Reviewer
Review source: G2 invite
Incentivized Review

A powerful language with a great support for real-world data

It has a very powerful syntax, and is extremely customizable functional programming paradigm. It is a great tool for visualizations

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HQ Location:
Champaign, US

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@WolframResearch

What is Wolfram Research?

Wolfram Research is a leading developer of computational technology, renowned for creating Mathematica, a powerful software for technical computing and symbolic mathematics. Founded by Stephen Wolfram in 1987, the company is also known for Wolfram Alpha, a computational knowledge engine that answers queries by computing answers from curated data. Beyond these flagship products, Wolfram Research offers Wolfram Language, which provides an integrated environment for computation and development across various fields such as data science, engineering, and machine learning. The company's solutions are aimed at enhancing research, teaching, and development processes in both academic and professional settings.

Details

Year Founded
1987