Software Alternatives & Reviews

Neuronify VS Spry Simulation

Compare Neuronify VS Spry Simulation and see what are their differences

Neuronify logo Neuronify

An educational neural network app.

Spry Simulation logo Spry Simulation

Microsoft Excel add-in which enables system dynamics, discrete-event and Monte Carlo simulation in modern spreadsheets, especially with small to medium-sized simulation models and for a proof-of-concept tasks.
  • Neuronify Landing page
    Landing page //
    2023-03-27
  • Spry Simulation Landing page
    Landing page //
    2023-01-06

Neuronify features and specs

No features have been listed yet.

Spry Simulation features and specs

  • System dynamics: Yes
  • Discrete events modeling: Yes
  • Monte Carlo simulation: Yes
  • Simulation elements as spreadsheet functions: Yes
  • Charts: Yes
  • Optimization: Yes

Neuronify videos

Neuronify

Spry Simulation videos

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Category Popularity

0-100% (relative to Neuronify and Spry Simulation)
Simulation
60 60%
40% 40
Data Science And Machine Learning
Spreadsheets
57 57%
43% 43
Simulation Modeling
47 47%
53% 53

User comments

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What are some alternatives?

When comparing Neuronify and Spry Simulation, you can also consider the following products

Deep playground - Deep playground is an interactive visualization of neural networks, written in typescript using d3.

GoldSim - GoldSim is the premier Monte Carlo simulation software solution for dynamically modeling complex systems in business, engineering and science.

Netron - Open-source visualizer for neural network, deep learning and machine learning models.

AnyLogic - AnyLogic has changed simulation modeling and expanded its application into complex business environments. The unmatched flexibility of multimethod modeling allows users to capture the complexity of virtually any system, at any level of detail.

Neural Designer - Neural Designer is a high performance data science and machine learning platform.

Neuroph - Neuroph is lightweight Java neural network framework to develop common neural network architectures.