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Generative Art in Go VS Random Number Generator

Compare Generative Art in Go VS Random Number Generator and see what are their differences

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Generative Art in Go logo Generative Art in Go

Learn the basics of algorithmic art with the Go language

Random Number Generator logo Random Number Generator

Randomly generate integers or floating point numbers within a given range and specified discrete or continuous statistical probability distribution.
  • Generative Art in Go Landing page
    Landing page //
    2023-08-22
  • Random Number Generator Landing page
    Landing page //
    2021-09-21

Generative Art in Go features and specs

  • Efficiency
    Go's efficient memory management and concurrency model can handle complex generative art algorithms effectively, enabling smooth and fast performance.
  • Simplicity and Readability
    Go has a simple syntax that enhances code readability, making it easier to implement and maintain generative art projects.
  • Strong Standard Library
    Go's robust standard library includes many packages that are useful for developing generative art, such as those for image manipulation and geometric calculations.
  • Cross-Platform Compatibility
    Go compiles to a single binary that can run on multiple platforms without modification, making it easy to distribute generative art applications.

Possible disadvantages of Generative Art in Go

  • Steep Learning Curve for Graphics Programming
    Go is not specifically designed for graphics programming, which may make it challenging for beginners to develop complex generative art compared to languages with more established graphics-focused ecosystems.
  • Limited Graphics Libraries
    The selection of graphics libraries and tools in Go is not as extensive as in other languages such as Python or JavaScript, which could limit creative possibilities or require additional effort to implement desired features.
  • Verbose Code
    Go can be more verbose than some scripting languages used for generative art, leading to longer development times for prototyping and experimentation.
  • Community Size
    The community focused on generative art in Go is smaller compared to other popular languages for generative art, potentially resulting in fewer resources and community support.

Random Number Generator features and specs

  • Versatility
    The Random Number Generator from BinaryMark offers versatile features that allow users to generate numbers for various applications, including simulations, modeling, and statistical sampling.
  • Customizability
    This tool provides a high level of customizability, enabling users to configure the range, distribution, and other parameters of the generated numbers to suit specific needs.
  • User-Friendly Interface
    The software boasts an intuitive and user-friendly interface, making it accessible to both novice and experienced users.
  • Reproducibility
    It offers options to save settings and seeds, allowing for the reproducibility of random sequences, which is crucial for testing and verification.

Possible disadvantages of Random Number Generator

  • Cost
    The software is a paid product, which may not be ideal for users looking for free resources, especially for casual or infrequent use.
  • Complexity for Newcomers
    Despite its user-friendly design, the range of features and options might be overwhelming for users who are new to random number generation or statistical applications.
  • Platform Limitation
    The software might be limited to certain operating systems or require specific system requirements that could exclude some users.
  • Dependency on Software
    Reliance on the software for generating random numbers may not be suitable for applications requiring hardware-based randomness due to potential computational predictability.

Generative Art in Go videos

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Random Number Generator videos

This is a bit random - Vintage Random Number Generator

More videos:

  • Tutorial - Statistics - How to Use the Random Number Generator in Sampling

Category Popularity

0-100% (relative to Generative Art in Go and Random Number Generator)
Art
100 100%
0% 0
Random Generator
0 0%
100% 100
Design Tools
100 100%
0% 0
Random Number Generator
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Generative Art in Go seems to be more popular. It has been mentiond 2 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.

Generative Art in Go mentions (2)

  • My talk proposal got declined a few times. I’m trying to make sense, whether it has to do with the pitch, or it’s a topic the Go community is generally not interested to hear about.
    I assume, you also haven’t seen my book, have you: https://p5v.gumroad.com/l/generative-art-in-golang. Source: almost 2 years ago
  • Get access to a free draft of my in-progress book "Write Your book With Obsidian" by answering this short survey
    To your remark about wikilinks - I wrote my first book entirely in Obsidian, but had to conform to Leanpub's limited Markdown standard, which does not support any form other than the standard way of linking. Source: over 2 years ago

Random Number Generator mentions (0)

We have not tracked any mentions of Random Number Generator yet. Tracking of Random Number Generator recommendations started around Mar 2021.

What are some alternatives?

When comparing Generative Art in Go and Random Number Generator, you can also consider the following products

Tinkersynth - Create and purchase unique generative art

RANDOM.ORG - RANDOM.ORG offers true random numbers to anyone on the Internet.

Ramsophone - A generative art/music machine. (Be sure to refresh!)

Randommer - Generate random number, telephone numbers, text, hashed and social security numbers

Generart - Generative art tool to create / share / print your patterns

GeneratorMix - A place with hundreds of generators split into different categories from science to entertainment.