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Show HN: Tiny – An interpeted dynamic langauge with inline Go native functions
Key Points
A high-performance, concurrent bytecode virtual machine and language written in Go. Tiny combines the development speed of dynamic coding with a robust, multi-threaded runtime engine. Tiny is a concurrent programming language and runtime system.
A high-performance, concurrent bytecode virtual machine and language written in Go.
Tiny combines the development speed of dynamic coding with a robust, multi-threaded runtime engine.
Tiny is a concurrent programming language and runtime system. It compiles source files into compact, stack-based bytecode instructions (.tbc
) which run on a highly optimized virtual machine using slot-based local storage.
The runtime engine features a multi-tiered execution model: an efficient interpreter for general logic and a Just-In-Time (JIT) compiler for performance-critical code. Key features include direct OS-level parallel threading, host-mirrored packed arrays, a chainable schema validation library, native WebAssembly extensions, and a built-in Language Server (LSP).
Read the full documentation at tiny-lang-docs.github.io, or check out the examples to see Tiny in action.
Precompiled binaries are available on the release page:
- Windows:
tiny_windows_amd64.exe
- Linux:
tiny_linux_amd64
- macOS (Apple Silicon):
tiny_darwin_arm64
To install:
- Download the binary for your operating system.
- Rename the file to
tiny
(ortiny.exe
on Windows). - Move the binary into a directory in your system path (for example,
~/.tiny/bin
on Unix or%USERPROFILE%\.tiny
on Windows). - Add that directory to your system
PATH
environment variable.
For compilation from source instructions, see the online documentation.
Tiny is dynamically typed by default. You can write untyped code for rapid prototyping, or apply optional static type hints to variables, parameters, and function returns. The type system supports unions and generics.
import std "io";
// Untyped variable
let data = "untyped string";
// Explicitly typed variable
const port: number = 8080;
// Typed function parameters and return type
fn calculatePayout(base: number, multiplier: number): number {
return base * multiplier;
}
io.println(calculatePayout(100, 1.5));
Tiny uses structural typing (shape-based validation). Objects are validated against interfaces at runtime based on their properties and methods. The JIT engine optimizes these checks by tracking object shapes and utilizing linear memory field offsets.
import std "io";
interface Task {
title: string
done: bool
}
fn printTask(t: Task) {
let status = t.done ? "Completed" : "Pending";
io.println(`${t.title} - Status: ${status}`);
}
// Valid structural matches
printTask({ title: "Write Compiler Tests", done: true });
printTask({ title: "Optimize VM Dispatcher", done: false, priority: 1 });
Tiny supports object and array destructuring for both let
and const
declarations. This includes support for nested patterns, default values, and property renaming.
import std "io";
const user = {
name: "Alice",
age: 30,
address: { city: "NYC", zip: "10001" }
};
// Object destructuring with renaming and nesting
let { name, address: { city } } = user;
io.println(`${name} lives in ${city}`);
// Array destructuring
let coordinates = [10.5, 20.8, 30.0];
let [x, y] = coordinates;
io.println(`X: ${x}, Y: ${y}`);
Tiny emphasizes composition over deep inheritance. The embed
keyword allows a class to delegate behavior to another class instance. If a method or field is missing on the parent, it is automatically resolved from the embedded instance.
import std "io";
import std "json";
class Logger {
field messages = []
fn log(message: string) {
this.messages.push(message);
io.println(`Log: ${message}`);
}
fn dump() {
return this.messages;
}
}
class SessionManager {
field active = true
embed logger
fn init() {
this.active = true;
this.logger = Logger();
// Call to embedded class method
this.log("Session manager initialized");
}
fn close() {
this.active = false;
this.log("Session closed");
}
}
let session = SessionManager();
session.close();
// Directly calls the embedded Logger.dump method
io.println(json.pretty(session.dump()));
The match
block provides branch dispatching with support for literal values, variables, enums, union patterns, and guards. It is the primary way to extract data from enum variants.
import std "io";
enum Result {
Ok(value: any),
Error(message: string)
}
fn process(res: Result) {
match res {
Result.Ok(val) if val > 0 {
io.println(`Success: ${val}`);
}
Result.Ok(val) {
io.println("Success with zero or negative value");
}
Result.Error(msg) {
io.println(`Error: ${msg}`);
}
_ {
io.println("Unknown state");
}
}
}
process(Result.Ok(42));
The defer
statement schedules a function call to execute immediately before the current surrounding function scope exits, regardless of early returns or thrown errors.
import std "fs";
import std "io";
fn processFile(path: string) {
io.println("Opening file stream...");
let file = fs.open(path);
defer fn() {
io.println("Running defer block: closing file stream.");
file.close();
}
io.println("Processing file data...");
}
processFile("README.md");
Tiny executes parallel operations using OS-level multi-threading. The spawn
keyword starts a new execution routine on an isolated VM state space. Unlike event-loop models, Tiny runs tasks concurrently across all available CPU cores.
import std "io";
import std "time";
let worker = spawn () fn() {
time.sleep(1000);
return "Worker thread complete";
};
io.println("Main thread proceeding...");
let result = await worker;
io.println(result);
Shared state can be coordinated using mutexes and native lock
blocks. The compiler guarantees that the mutex is automatically released when execution leaves the block, preventing deadlocks.
import std "io";
import std "sync";
let counter = 0;
const m = sync.mutex();
fn increment() {
lock m {
counter = counter + 1;
}
}
Tiny includes a multi-function JIT compilation engine that translates hot bytecode paths into native WebAssembly.
The compiler automatically identifies hot loops in top-level code and function bodies, outlining them into specialized JIT regions. This ensures that even scripts and timed benchmarks run at native speed without manual function encapsulation.
For arrays containing objects of uniform shape, the JIT implements host-memory mirroring. It utilizes field-column pointer tables to access object properties directly in linear memory, bypassing the host-call overhead typically associated with VM-to-Native interop. Packed arrays now support dynamic growth and Wasm-side optimization.
The JIT automatically selects eligible functions. For maximum performance:
- Avoid Closures with Captures: Functions that close over mutable outer variables are executed by the interpreter.
- Stay Synchronous:
async
functions are not currently eligible for JIT compilation. - Type Hints: Provide explicit hints (e.g.,
: number
) to help the JIT generate specialized machine code. - Efficient Strings: String join operations are now JIT-accelerated. For large builds, prefer
stringBuilder
from the standard library.
// Highly JIT-optimized: typed, synchronous, no captures, uses loops
fn computeSum(n: number, initial = 0): number {
let total = initial;
for let i = 0; i < n; i++ {
total += i;
}
return total;
}
For logic requiring specific Go packages, Tiny allows writing Go code directly in the source file using native fn
. These blocks are compiled to WebAssembly via TinyGo and loaded at runtime.
import std "io";
import std "time";
native fn calculateSha256(input: string): string {
go {
import "crypto/sha256"
import "encoding/hex"
h := sha256.Sum256([]byte(input))
return hex.EncodeToString(h[:])
}
}
const text = "Tiny runtime speed";
io.println(`SHA256: ${calculateSha256(text)}`);
A chainable API for defining and enforcing data schemas. Supports objects, arrays, unions, and transformations.
import std "validate";
import std "io";
const userSchema = validate.object({
username: validate.string().trim().nonempty().min(3).required(),
age: validate.number().int().positive().default(18),
tags: validate.array(validate.string()).default([])
});
const result = userSchema.safeParse({ username: " alice " });
if result.success {
io.println(result.data.username); // "alice"
}
Encode & Decode URL
Support for execution delays, performance measurement, and managed timers.
import std "io";
import std "time";
// Managed interval timer
let timer = time.interval(1000, fn() {
io.println("Tick");
});
time.sleep(5000);
timer.cancel();
Native operations for array manipulation, including find
, filter
, map
, reduce
, sort
, flat
, and findIndex
.
Fully concurrent web server and client. The server supports route-based multiplexing and optimized JSON serialization.
import std "http";
import std "io";
let server = http.server(8080);
server.get("/users/:id", fn(req: http.RequestObject) {
return http.json({
id: req.params["id"],
query: req.query
});
});
io.println("Web server listening on port 8080");
server.start();
Lightweight desktop containers using HTML/CSS/JS with direct bindings to Tiny functions.
import std "ui";
const win = ui.new(true);
win.setTitle("Tiny UI");
win.setSize(500, 400);
win.callback("registerClick", fn(arg) {
return "Click registered";
});
win.setHtml("