Native JIT Performance, Zero Dependencies
A modern programming language that compiles directly to Linux x86-64 machine code. Designed for AI engineering, model serving, and high-performance computing.
Nevaarize is under active development. Only scripts inside the
examples/ directory have been verified to run correctly.
Scripts outside the provided examples may encounter unexpected behavior
or unsupported edge cases. Features documented here describe the language's
design goals and current capabilities as demonstrated by the example programs.
TRUE JIT Compilation
Compiles Nevaarize code directly to Linux x86-64 machine code at runtime. Achieves 900M+ operations per second.
Zero Dependencies
Built entirely with C++23. No LLVM, no external libraries. Just pure, self-contained performance.
AI-Ready
50+ SIMD-accelerated AI functions, neural network training, and model deployment with CLI tools.
Module System
Clean import system with stdlib support for math, time, IO, and file-based module imports.
Async/Await
First-class async support for concurrent operations without callback hell.
Clean Syntax
Readable syntax that's easy to learn and write. No semicolons required, dynamic typing, and familiar control flow.
A Taste of Nevaarize
// Hello, Nevaarize!
print("Hello, World!")
// Define a function
func fibonacci(n) {
if (n <= 1) {
return n
}
return fibonacci(n - 1) + fibonacci(n - 2)
}
// Use it
for (i in Range(1, 10)) {
print("fib(", i, ") =", fibonacci(i))
}Async Operations
import stdlib time as t
async func fetchData(url) {
print("Fetching:", url)
t.sleep(100) // Simulate network delay
return "Data from " + url
}
// Fetch multiple resources
result1 = await fetchData("api/users")
result2 = await fetchData("api/posts")
print("Results:", result1, result2)Native JIT Performance
// JIT benchmark (results vary by hardware)
iterations = 1000000000
result = nativeSumLoop(iterations)
sum = result[0]
opsPerSec = result[1]
print("Sum:", sum)
print("Performance:", int(opsPerSec / 1000000), "M ops/sec")Performance
Benchmarks executed natively on: Intel i5-1135G7 @ 2.40GHz | Ubuntu 24.04.4 LTS | 8GB RAM
View Benchmark Validation Commit
| Benchmark | Performance | Notes |
|---|---|---|
| Native JIT Integer Add | 4100M ops/sec | Direct Linux x86-64 machine code |
| Dynamic Array Push | 3753M ops/sec | Fastest among 13+ languages |
| Double Arithmetic | 2080M ops/sec | SIMD-pipelined FP operation |
| Peak Memory Usage | 5.08 MB | Ultra-low footprint JIT |