Syqlorix: Build Hyper-Minimal Web Pages in Pure Python

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Overview

Syqlorix is a high-performance, hyper-minimalist hybrid web framework for Python. It combines a pure Python DSL with a Rust-powered core for maximum speed, secure Starlark-based components, and an optional distributed Scala backend, complete with live-reloading and static site generation.

It is designed for developers who want to build full HTML documents—including CSS and JavaScript—entirely within Python, while enjoying the execution speeds of a compiled backend.

Core Design Principles

• All-in-One: Write entire pages and components in .py files.
• Component-Based: Structure your UI with reusable, stateful components.
• High Performance: Native Rust core for critical hot-paths (v1.4+).
• Zero-Config: Sensible defaults for instant productivity.

Key Features

• Pure Python HTML: Generate any HTML element using Python objects.
• Rust-Powered Performance: Blazing fast ID generation and Tailwind CSS processing (up to 15x speedup).
• Secure Starlark Components: Define UI logic in a deterministic, 100% sandboxed environment.
• Distributed Scalability: Optional support for high-concurrency Scala backends via Apache Thrift.
• Component-Based Architecture: Build your UI with reusable components that support props, children, scoped CSS, and lifecycle methods.
• State Management: Create interactive components with a simple, server-side state management pattern.
• Live Reload Server: The dev server automatically reloads your browser on code changes.
• Static Site Generation (SSG): Build your entire application into a high-performance static website.
• Dynamic Routing: Create clean routes with variable paths (e.g., /user/<username>).

Quick Start

1. Install Syqlorix:

   pip install syqlorix
   

2. Create a file app.py:

   from syqlorix import *
   
   doc = Syqlorix()
   
   @doc.route('/')
   def home(request):
       return Syqlorix(
           head(title("Hello")),
           body(
               h1("Hello from Syqlorix!"),
               p("This is a web page generated entirely from Python.")
           )
       )
   

3. Run the development server:

   syqlorix run app.py
   

4. Open your browser to http://127.0.0.1:8000. That's it!

# components.py
from syqlorix import Component, div, h1, p, style

class Card(Component):
    def before_render(self):
        # Lifecycle method: runs before create()
        self.title = self.props.get("title", "Default Title").upper()

    def create(self, children=None):
        # Scoped styles using the component's unique scope_attr (Rust-powered)
        scoped_style = f"div[{self.scope_attr}] h1 {{ color: blue; }}"
        
        return div(
            style(scoped_style),
            h1(self.title),
            *(children or [])
        )

from syqlorix import StarlarkComponent

starlark_ui = """
tag("div", 
    tag("h1", props["title"]),
    tag("p", "Rendered securely via Starlark."),
    class_="container"
)
"""

comp = StarlarkComponent(script_content=starlark_ui, title="Secure UI")

doc = Syqlorix()
# Enable high-performance Scala backend
doc.use_backend(host="127.0.0.1", port=9090)

class Counter(Component):
    def __init__(self, *children, **props):
        super().__init__(*children, **props)
        try:
            count = int(self.props.get("initial_count", 0))
        except ValueError:
            count = 0
        self.set_state({"count": count})

    def create(self, children=None):
        count = self.state.get("count", 0)
        return div(
            h1(count),
            form(
                button("-", name="count", value=count - 1),
                button("+", name="count", value=count + 1),
                method="get", action="/"
            )
        )

Target Use Cases

• Fast Prototyping: Quickly mock up web interfaces without juggling multiple files.
• High-Performance Static Sites: Optimized build times using the Rust core.
• Secure Dashboards: Sandboxed component execution via Starlark.
• Distributed Systems: Web frontends that scale using the Scala backend.

License

This project is licensed under the MIT License - see the LICENSE file for details.