Software Alternatives & Reviews

MapleSim VS Lanner WITNESS

Compare MapleSim VS Lanner WITNESS and see what are their differences

MapleSim logo MapleSim

MapleSim is an advanced system-level modeling tool that enables innovation and reduces development risk.

Lanner WITNESS logo Lanner WITNESS

Lanner WITNESS is a discrete event simulation platform for modelling processes and experimentation.
  • MapleSim Landing page
    Landing page //
    2023-01-07
  • Lanner WITNESS Landing page
    Landing page //
    2023-04-03

MapleSim videos

Introducing MapleSim for Engineering Design

More videos:

  • Review - Hydraulic Modeling with the MapleSim Hydraulics Library® from Modelon
  • Review - Modeling and Simulation for Automation Using MapleSim

Lanner WITNESS videos

No Lanner WITNESS videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to MapleSim and Lanner WITNESS)
Technical Computing
58 58%
42% 42
Numerical Computation
58 58%
42% 42
Math Solver
100 100%
0% 0
3D
0 0%
100% 100

User comments

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What are some alternatives?

When comparing MapleSim and Lanner WITNESS, you can also consider the following products

Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

RawTherapee - RawTherapee is a free RAW converter and digital photo processing software.

NetSim - NetSim software was created to simulate various Cisco systems. Cisco software is known around the world as being one of the best network, routing and switch systems for businesses and private use. Read more about NetSim.

Uber Cloud - UberCloud is the cloud for engineers that provides cloud simulation solutions for engineers and scientists.

Maxima - Maxima is a fairly complete computer algebra system written in Lisp with an emphasis on symbolic computation.