Random Decimal Numbers Generator

You would be surprised how often a quick "give me 50 random numbers between 1 and 100" comes up — it is the kind of request that arrives during debugging, during test authoring, and during any simulation or visualisation. The tools that answer it tend to be either over-engineered or hidden inside libraries that demand a few lines of setup before they hand over a single value.

Random Decimal Numbers Generator answers that need directly. Set the range, the count, the integer-or-float mode, the decimal place count, optional reproducibility seed, and an optional distribution bias. Get a clean list, a grid view, or a quick histogram for sanity-checking the distribution.

Underneath the buttons is the small amount of information the system actually requires — what uniform and weighted mean, what seed pins, why unique mode matters — plus practical guidance on which option fits which purpose. Everything runs in your browser; nothing is uploaded.

• Any range, integer or float: Set the min and max, pick integer or float, and set the decimal place count when in float mode.
• Unique mode: Skip duplicates within the range. Used most often when sampling without replacement.
• Optional seed: Reproducible sequences for testing and debugging — same seed, same output every time.
• Distribution curve: Uniform by default, or triangular to cluster values around the centre of the range.
• List, grid or histogram view: Three different ways to inspect the result, with the histogram useful for spotting bias.
• Three export formats: CSV (one per line), JSON array and a plain text list with both index and value.
• Copy or download: Take what you generate without leaving the browser, with nothing uploaded to any server.

1. Pick the mode. Integer for whole-number sampling, float for continuous values.
2. Set the range. Set the minimum and maximum — negatives are fine.
3. Set the count. How many values to generate. Range up to 10,000.
4. Choose a distribution. Uniform for flat sampling, triangular to cluster values around the centre.
5. Set a seed if reproducibility matters. Empty for fresh on every run; a non-empty value pins the output.
6. Toggle unique if you need distinct values. Sampling without replacement.
7. Inspect the histogram. Switch to the histogram view to confirm the bias and range behave as expected.
8. Copy or download the result. CSV for spreadsheets, JSON for code, plain text for documentation.

Example 1 — Dice rolls for a board game simulator. Set the range to 1 through 6, integer mode on, count to 1000. The histogram confirms roughly uniform distribution across the six faces, which is exactly what fair dice should produce.

Example 2 — Stress-test data for a numerical parser. Set the range to -10000 through 10000, integer mode, count to 500. Feed the output to your parser test harness and you have a wide-ranging edge case set in one click.

Example 3 — Currency-style prices. Switch to float mode with 2 decimal places, range 0.01 to 9999.99. The output is realistic catalogue pricing ready to feed into an e-commerce test fixture.

Example 4 — Reproducible benchmark. Pin a seed, generate 1000 values, run your benchmark, then come back a week later with the same seed and the exact same data. Comparisons between runs stay meaningful.

Example 5 — Triangular-distribution simulation. A physics simulation needs values that cluster around 50 with a long tail. Switch distribution to triangular, range 0 to 100, count to 2000. The result has the bell-like shape you expect.

• Stop writing throwaway scripts: Get thousands of random numbers in one click, in the range and mode you actually need.
• Reproduce any failure: A seed pins the output for debugging — re-run with the same seed and the same values appear in the same order.
• Match any context: Integer for whole-number counts, float for measurements, unique mode for sampling without replacement.
• Bias the distribution: Uniform by default, or triangular to cluster values around a typical middle point.
• Export the shape you need: CSV for spreadsheets, JSON for code, plain text for documentation.
• Free and private: No account, no watermark, nothing uploaded.