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Randommer VS Generative Art in Go

Compare Randommer VS Generative Art in Go and see what are their differences

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Contents:
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Randommer logo Randommer

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

Generative Art in Go logo Generative Art in Go

Learn the basics of algorithmic art with the Go language
  • Randommer Landing page
    Landing page //
    2022-02-01
  • Generative Art in Go Landing page
    Landing page //
    2023-08-22

Randommer features and specs

  • Versatility
    Randommer offers a wide variety of random data generation tools, making it suitable for diverse applications—from generating fake personal data to creating random numbers and lists.
  • User-Friendly Interface
    The platform features a straightforward and easy-to-navigate interface that allows users to quickly access the tools they need without a steep learning curve.
  • API Availability
    Randommer provides APIs for most of its functionalities, which are useful for developers who want to integrate random data generation into their own applications.
  • Free Access
    Many of the resources on Randommer are available for free, enabling users to access random generation tools without a financial commitment.

Possible disadvantages of Randommer

  • Limited Data Types
    While there are many tools available, the range of data types is somewhat limited if users need very specific or niche random data.
  • Internet Dependence
    Since Randommer is an online service, an active internet connection is required, limiting access in offline scenarios.
  • API Rate Limits
    API access may be subject to rate limits, which could be a drawback for users needing to generate large quantities of data rapidly.
  • Security and Privacy Concerns
    There may be concerns over the security and privacy of data when using online random data generators, especially for applications that require confidentiality.

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.

Randommer videos

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Randommer - Generate Random Data

Generative Art in Go videos

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Category Popularity

0-100% (relative to Randommer and Generative Art in Go)

Randommer

Generative Art in Go

Random Generator
100 100%
Random Generator
0% 0
Art
0 0%
Art
100% 100
Random Number Generator
100 100%
Random Number Generator
0% 0
Design Tools
0 0%
Design Tools
100% 100

User comments

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Social recommendations and mentions

Generative Art in Go might be a bit more popular than Randommer. We know about 2 links to it since March 2021 and only 2 links to Randommer. 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.

Randommer mentions (2)

  • I'm not brave enough to start a single project even after months of learning
    With your second program, refactor your first to use something like https://randommer.io/ to return the random number. That will be your ONLY API call. Look up JSON Deserialization for GET requests to see how you can get your API call's GET data to be deserialized into a JavaScript array so that you can just read the data that is returned from the API. Source: over 2 years ago
  • Does anyone deployed .Net5 Web app in DigitalOcean? How is the experience?
    I have multiple websites on a DigitalOcean( ref link - you get 100$, I get $25) droplet (including Randommer - over 5000 daily visits) and I highly recommend it. Source: over 3 years ago

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

What are some alternatives?

When comparing Randommer and Generative Art in Go, you can also consider the following products

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

Tinkersynth - Create and purchase unique generative art

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

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

RandomGenerator.AI - Unleash Your Creativity and Make Decisions Effortlessly with Our AI-Powered Random Generators

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

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