Python-like syntax, compiled static language, zero memory overhead, direct C ecosystem access
Simple, Fast, Safe, Cross-platform
Curly braces code block, no indentation issues, low learning cost
No interpreter needed, direct high-performance machine code
Compile-time analysis + global GPA, auto lifecycle, no memory leaks
Direct load .so/.a, seamless C ecosystem integration
Mandatory variable/return types, compile-time error checking
Multithreading, TCP/HTTP, file, serial, audio built-in
import "/usr/lib/x86_64-linux-gnu/libm.so" as math
from math import sqrt(x: float) -> float
from math import sin(x: float) -> float
def test1() -> int {
return 10
}
def main() {
result2:float = math.sqrt(16.0)
print("math.sqrt(16.0)=", result2)
int_list:list[int] = [1, 2, 3]
print(int_list)
str_list:list[str] = ["a", "b", "c"]
print(str_list)
dictx:dict[int, bool] = {1:True,2:True,3:False}
print(dictx)
print(dictx[3])
t1: int = test1()
print(f"return value:{t1}")
print("return value:", t1)
print("return value:" + str(t1))
}
CatBase is designed for AI application development, replacing C in minimal runtime environments while supporting Python syntax.
CatBase was built for the pursuit of simplicity and performance. We wanted a language that avoids complex C, slow Python, pointers and memory management, while keeping Python's ease of use and C-level performance.
It targets tiny Linux environments and server environments, letting you write reliable, high-performance system programs with minimal effort.
