Overview

Random Number Generator — Free Edition is a Windows application for producing large sets of random values, both integers and floating-point. It’s built to handle high-volume generation tasks and accommodates a wide array of user needs, from simple sampling to more demanding statistical and security-related uses.

Generation options and numeric settings

The tool can emit millions of numbers in a single run and lets you tailor numeric parameters precisely. You can define lower and upper bounds, select numeric display formats, and choose alternate bases for output (for example, binary or hexadecimal) to match downstream requirements.

Statistical distributions available

Included are 17 ready-to-use probability models for sampling: 12 continuous distributions and 5 discrete ones. This selection makes the utility suitable for experimentation, statistical modelling, simulations, and other analytical scenarios.

Security, randomness engines, and output formats

  • Built-in support for multiple pseudo-random number generators, including options that meet FIPS-140 standards for higher-assurance applications.
  • Export generated sets to common file types such as Excel spreadsheets, CSV files, and XML for easy import into other tools or workflows.
  • Options to enforce uniqueness among produced values, useful when non-repeating sequences are required.

Usability and extra tools

  • A straightforward, approachable interface designed for both newcomers and experienced users.
  • Additional built-in utilities, including a password creator, extend the program’s usefulness beyond basic number generation.

Alternatives and compatibility

If you prefer a different solution, the listing suggests SHAREit Free as a commonly recommended alternative. The program runs on Windows and is intended to integrate smoothly into existing desktop environments.

Technical

Title
Random Number Generator Free Edition
Requirements
  • Windows
Language
No language has been specified.
Available languages
License
  • Free
Latest update
2026-01-05
Author
BinaryMark
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