Zig
The reason why we can often get away with using languages like Python or JavaScript to drive resource-intensive computations, is because under the hood somebody took years to perfect a C implementation of a key procedure and shared it with the world under a permissive license. - Maintain it With Zig / HN / Home
Zig position itself as better replacement to C.
- It is a direct (close to system)
- and simple langage like C, python, Visual Basic, Go…
Introduction to Zig
main.zig
const std = @import("std");
pub fn main() void {
std.debug.print("Hello, Zig!\n", .{});
}Then to run
- work from scracth with vscode .runner
zig run main.zig- compile & runzig build-exe main.zig- materialize binary./main- to execute
RAII
Zig does not have RAII in the C++ sense, but it does support deterministic resource management through explicit defer/errdefer and scope-based cleanup - ChatGPT
Object
Zig does not have classes or objects in the traditional OOP sense. - ChatGPT
Zig uses struct to group data and behavior.
- Methods are just functions with an explicit self parameter (like python)
- No inheritance (by design)
Zig function
Zig function can return
- Primitive values
- Composite types
- Pointers and references
- Optional values
- Error unions
- Anyerror or specific error sets
- Types themselves (comptime)
Install
As of now, Zig is generally not included in the official Debian repos. The easiest way seems to use Hombrew or Nix (prefered for linux)
Nix Install
Using nix profile
$ nix profile add nixpkgs#zigC++ interop
Zig Interop Overhead Table with Metrics
These are rough per-function call latencies on modern desktop CPUs. Actual values vary based on OS, CPU, type conversion, and data size.
| Language | Interop Method | Typical Workflow | Overhead Level | Approx. Call Latency* |
|---|---|---|---|---|
| Java | JNI | Zig shared lib loaded via System.loadLibrary() |
Low | ~50–200 ns per native call |
| JNA/JNR | Reflection-based FFI | Medium | ~1–5 µs per call | |
| IPC (sockets, REST) | Zig as separate process | High | ~100 µs – 1 ms per request | |
| C++ | C ABI wrappers | extern "C" |
Low | ~5–50 ns per call |
| Direct C++ interop | @cImport + C++ |
Medium | ~50–200 ns (depends on ABI, exceptions) | |
| Ruby | C extension | Zig lib loaded as native Ruby extension | Low | ~50–200 ns per call |
Ruby FFI (ffi gem) |
Zig C ABI lib via FFI | Medium | ~1–5 µs per call | |
| Python | CPython C API | Zig compiled as Python module | Low | ~50–200 ns per call |
ctypes/cffi |
Zig C ABI lib loaded in Python | Medium | ~1–10 µs per call | |
| General | IPC | Sockets/pipes/gRPC | High | ~100 µs – 1+ ms per round-trip |
see also
- Opinion piece: On Zig (and the design choices within) / HN
- Zig Toolchain - Zig has its own build system, You define builds with Zig code.
- Carbon Language: An experimental successor to C++ - arbon exists so that it’s possible to migrate a large C++ code base, like Chrome, from C++ to something saner, incrementally.
- Zig is designed to interoperate like this with C, and Kotlin with Java. - HN
- My game development journey & why I’m increasing my contribution to Zig to $200/mo
- What’s Zig got that C, Rust and Go don’t have? (with Loris Cro)
- rust add complexity & prefer safety over performance
- go toward simplicity, but not in minimalistic way (different way of seeing things). Can reuse C, but not be consumed by C.
- zig allow low system programming
- on linux call syscall directly (no need fot clib)
- From Go to Zig
- Why Zig When There is Already C++, D, and Rust?
- Zig feels more practical than Rust for real-world CLI tools