Pseudo Random Number Generator

About Pseudo Random Number Generator (PRNG)

Our Pseudo Random Number Generator (PRNG) uses the Randoma library to create reproducible sequences of random values. Unlike true random generators, PRNGs use mathematical algorithms with seeds to generate predictable sequences, making them perfect for testing, simulations, and scenarios requiring reproducible results.

Key Features:

• Seedable random generation for reproducible results
• Multiple data types: numbers, dates, and colors
• Support for both integers and decimal numbers
• Adjustable decimal places (1-10)
• Custom range with minimum and maximum values for numbers
• Date generation within a specified date range
• Random color generation with hex values
• Same seed always produces the same sequence
• Easy copy-to-clipboard functionality

Use Cases:

• Software testing with reproducible test data
• Game development with deterministic randomness
• Scientific simulations requiring repeatability
• Debugging applications with consistent random values
• Educational demonstrations of randomness concepts
• Procedural content generation with seeds
• UI/UX prototyping with random colors
• Event scheduling with random dates
• Test data generation with date ranges
• Color palette generation for design projects

How to Use:

1. Select the type of random values you want to generate (numbers, dates, or colors)
2. Enter a seed value (text or number) for reproducible results
3. Choose how many values you want to generate
4. For numbers: Set your desired minimum and maximum values
5. For numbers: Choose between integer or decimal numbers
6. For numbers: If using decimals, specify the number of decimal places (1-10)
7. For dates: Set the start and end dates for your date range
8. Click the generate button to create pseudo-random values
9. Use the same seed to get identical results every time

Understanding Seeds:

• The same seed will always produce the same sequence of numbers
• Different seeds produce different sequences
• Seeds can be text, numbers, or even emojis (e.g., '🦄', 'test123', '42')
• Useful for sharing reproducible random data with others

Tips:

• Use descriptive seeds like 'project-alpha-v1' for organized testing
• Document your seeds when using them for important simulations
• Change the seed to get a completely different sequence
• For true randomness, use a timestamp or random string as seed

This PRNG is powered by the Randoma library, which provides a user-friendly interface for generating pseudo-random values with excellent distribution properties. With support for numbers, dates, and colors, it's perfect for developers, designers, researchers, and anyone needing controlled randomness in their projects.