Random Data VS Randommer

• Variety of Data Types
  Random Data offers a wide range of random data types, providing versatile use cases for developers and testers needing diverse datasets.
• Ease of Use
  The website's interface is intuitive and user-friendly, allowing users to easily generate and download random data quickly.
• Free Access
  Users can access and use the random data generated on the website without any cost, making it an economical choice for many.
• Customization Options
  Random Data allows users to customize parameters for the data generated, enabling tailored datasets for specific needs.

Possible disadvantages

• Data Quality and Relevance
  As the data is randomly generated, it might lack real-world relevance and accuracy required for certain applications or testing scenarios.
• Limited Support
  The platform may not offer comprehensive support or documentation, which could be a hurdle for users needing guidance or facing issues.
• Scalability Issues
  For large-scale data generation, the website may not efficiently handle high volumes, which could be restrictive for big data applications.
• Dependency on Internet Connection
  Users need a stable internet connection to access and use the random data services available on the website, limiting offline usability.

• 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

• 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.

Excel: How to generate random data based upon known percentage distribution

Randommer - Generate Random Data

Tracking Random Data since Mar 2021.

• 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... Source: about 4 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: almost 5 years ago