Software Alternatives & Reviews

Spry Simulation VS Neuronify

Compare Spry Simulation VS Neuronify and see what are their differences

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 logo Neuronify

An educational neural network app.
  • Spry Simulation Landing page
    Landing page //
    2023-01-06
  • Neuronify Landing page
    Landing page //
    2023-03-27

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 features and specs

No features have been listed yet.

Spry Simulation videos

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Neuronify videos

Neuronify

Category Popularity

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

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What are some alternatives?

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

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

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

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.

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

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

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.