Integers, sequences, decimals and Gaussian draws
True random numbers for raffles, sampling, simulations and everyday decisions — single picks, full lists, or shuffled sequences.
Random Number Generator
Pick one true random integer between any two numbers.
NumbersRandom Number List Generator
Generate a whole list of random integers at once, unique or with repeats.
NumbersRandom Sequence Generator
Shuffle an entire numeric sequence into a random order.
NumbersGaussian (Normal) Random Number Generator
Generate numbers from a normal distribution with a chosen mean and spread.
NumbersRandom Decimal & Fraction Generator
Generate random decimal numbers or simple fractions within a range.
NumbersRandom Prime Number Generator
Generate a random prime number within any range.
NumbersRandom Fraction Generator
Generate a random simplified fraction, shown visually as a stacked fraction.
NumbersRandom Roman Numeral Generator
Generate a random number shown as a Roman numeral.
NumbersBinary & Hex Number Generator
Generate a random number shown in decimal, binary, and hexadecimal.
NumbersRandom Date Generator
Generate a random calendar date between two dates you choose.
NumbersRandom Time Generator
Generate a random clock time, shown as a digital clock face.
NumbersRandom Equation Generator
Generate a random math problem — arithmetic, multiplication, or algebra — with the answer hidden until you reveal it.
NumbersIntegers, sequences, decimals and Gaussian draws
Number generators are the most fundamental tools on Xrandom, and the ones most other tools quietly build on. Whether you need one integer between two values, a whole unique list of them (like a lottery-style draw), or numbers that follow a bell-curve distribution instead of a flat one, this category covers the full range of what 'a random number' can mean in practice.
The distinction that matters most is between a single random pick, a list of unique picks (no repeats — a sample without replacement), and a shuffled sequence (every value included exactly once, just reordered). Mixing these up is a common source of subtly unfair results — see Xrandom's guide on true random vs. pseudo-random for why the underlying random source matters just as much as which of these three patterns you use.
Common uses span raffle draws, statistical sampling, generating realistic test data, simulating measurement error with the Gaussian generator, and everyday tasks like picking a random page number or a decimal for a probability exercise.