Random Number Generator

Created on 9 November, 2025 • Generator Tools • 0 views

Generate unbiased random numbers within ranges or distributions. Use seeds for reproducibility in tests and simulations.

When You Need True Randomness

Simulations, sampling, and games require high-quality randomness. An RNG lets you produce integers or floats within defined bounds.

Produce Random Values You Can Trust

Step-by-Step

1. Choose min/max and integer vs float.
2. Optionally set a seed for reproducible runs.
3. Export results as CSV/JSON for analysis.

Choosing the Right RNG

1. Use cryptographic RNGs for security (tokens, keys).
2. Pseudorandom is fine for tests and Monte Carlo simulations.
3. Document seeds in experiments for auditability.

Common Mistakes

Avoid These

1. Off-by-one bounds (inclusive vs exclusive).
2. Using insecure RNGs for secrets.
3. Forgetting to reset seeds across test suites.