Software Alternatives & Reviews

Spry Simulation VS Deep playground

Compare Spry Simulation VS Deep playground 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.

Deep playground logo Deep playground

Deep playground is an interactive visualization of neural networks, written in typescript using d3.
  • Spry Simulation Landing page
    Landing page //
    2023-01-06
  • Deep playground Landing page
    Landing page //
    2019-09-01

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

Deep playground features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to Spry Simulation and Deep playground)
Simulation
32 32%
68% 68
Spreadsheets
43 43%
57% 57
Simulation Modeling
47 47%
53% 53
Data Science And Machine Learning

User comments

Share your experience with using Spry Simulation and Deep playground. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Deep playground seems to be more popular. It has been mentiond 26 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Spry Simulation mentions (0)

We have not tracked any mentions of Spry Simulation yet. Tracking of Spry Simulation recommendations started around Jan 2023.

Deep playground mentions (26)

  • Why do tree-based models still outperform deep learning on tabular data? (2022)
    Not the parent, but NNs typically work better when you can't linearize your data. For classification, that means a space in which hyperplanes separate classes, and for regression a space in which a linear approximation is good. For example, take the circle dataset here: https://playground.tensorflow.org That doesn't look immediately linearly separable, but since it is 2D we have the insight that parameterizing by... - Source: Hacker News / 2 months ago
  • Introduction to TensorFlow for Deep Learning
    For visualisation and some fun: http://playground.tensorflow.org/. - Source: dev.to / 4 months ago
  • Visualization of Common Algorithms
    Https://seeing-theory.brown.edu/ https://www.3blue1brown.com/ https://playground.tensorflow.org/. - Source: Hacker News / 8 months ago
  • Stanford A.I. Courses
    There’s an interactive neural network you can train here, which can give some intuition on wider vs larger networks: https://mlu-explain.github.io/neural-networks/ See also here: http://playground.tensorflow.org/. - Source: Hacker News / 10 months ago
  • Let's revolutionize the CPU together!
    This site is worth playing around with to get a feel for neural networks, and somewhat about ML in general. There are lots of strategies for statistical learning, and neural nets are only one of them, but they essentially always boil down into figuring out how to build a “classifier”, to try to classify data points into whatever category they best belong in. Source: 11 months ago
View more

What are some alternatives?

When comparing Spry Simulation and Deep playground, 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.

Neuronify - An educational neural network app.

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.