Random Number Generator
Generate random numbers in batches with customizable ranges, unique options. Perfect for testing, gaming, statistics & development.
Number Configuration
Generated Results
Click «Generate random numbers» to start
Quick Presets
What Random Number Generators Are
Random number generators use special algorithms to create numbers that appear unpredictable. These algorithms run on computers and follow clear rules, yet the output still looks random. People use these numbers in games, tests, encryption, and many other tasks that need fresh values.
Why Independence Matters
A true random number has no link to the number that comes next. Each result stands on its own. This independence keeps patterns from forming. It protects security tools, creates fair results in digital games, and helps researchers run clean simulations without hidden bias.
Pseudo Random vs Real Random
Most computer systems create pseudo random numbers. These values look random but come from math instead of nature. Real random numbers come from physical events such as radioactive decay, thermal noise in electronics, or light level variation in simple sensor readings. These natural sources add true unpredictability and give stronger results for tests that need perfect randomness.
How to generate random numbers in different programming languages
| Language | How to generate random number |
|---|---|
| Java | Math.random()*10 Generates a random decimal between 0-10 |
| PHP | rand(0,10) Generates a random integer between 0-10 |
| JavaScript | Math.floor(Math.random()*10) Generates a random integer between 0-9 |
| Python | random.randint(0,10) Generates a random integer between 0-10 (inclusive) |
| Go | fmt.Println(rand.Intn(100)) Generates a random integer between 0-99 |
| C# | new Random().Next(0, 11) Generates a random integer between 0-10 |
| Swift | arc4random() % 10 + 1 Generates a random integer between 1-10 |
| Ruby | rand(1..10) Generates a random integer between 1-10 |