Both ends of the range are included.
Draw for
10 of 10 drawn
seed 1
1992973100494116777
Spread across the range1 → 100
One per line
1
99
29
73
100
49
41
16
7
77Drawn10
Mean49.2
Median45
Unique10
Draw one number or a reproducible set from a range, with decimal precision, optional sampling without replacement, sorting, and copy-ready list, CSV, or JSON output. A seed makes the same settings produce the same draw again.
Step by step
01Set the range
Choose inclusive minimum and maximum values and the number of decimal places.
02Choose the draw size
Generate one value or a batch; turn on no repeats when each possible outcome may be selected only once.
03Set or refresh the seed
Keep a seed to reproduce and share a draw, or make a new seed for a different sequence.
04Copy in the needed format
Use one-per-line, CSV, or JSON output, with optional numeric sorting.
Worked example
Given
A seeded sequence
settings: min 1 · max 6 · count 5
seed: 481516
output: 4, 1, 6, 2, 2A seed makes a pseudorandom draw repeatable, which is useful for tests and examples. It does not turn the sequence into cryptographically secure randomness.
Why this one
With replacement allows repeats
Each draw starts from the full range again, like rolling a die several times.
Without replacement makes a sample
Each selected value leaves the pool, like drawing raffle tickets; the count cannot exceed the number of possible outcomes.
A seed is a replay key
The same algorithm, seed, and settings yield the same sequence, making a result debuggable and shareable.
A flat-looking sample proves little
Small random samples naturally clump. A histogram is descriptive, not proof that a generator is fair.
The judgement call
Repeatable test data
Fixed seed
A failure can be reproduced with the same sequence.
A fresh classroom or game example
New seed
It produces a different sequence while preserving the settings.
Raffle winners
No repeats
One entrant should not occupy two winning slots.
Passwords, tokens, or cryptographic keys
Security-specific generator
A reproducible seeded PRNG is the wrong security primitive.
Reference
FAQ
Yes. Integer draws include both the minimum and the maximum, so a range of 1 to 6 can return 1 and 6.
It initializes the pseudorandom sequence. Reusing the same seed and settings reproduces the same values.
Set decimal places to zero, enable no repeats, and keep the requested count within the number of integers in the inclusive range.
Independent random draws do not try to spread themselves evenly. Runs and repeated values are normal, especially in small samples.
No. The seeded generator is designed for reproducibility, simulations, examples, and ordinary selections—not secrets.
The sequence is generated in your browser. Shared links expose the seed and settings by design so another person can reproduce the draw.
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