RustyTags Core

🚀 High-performance HTML generation library - Rust-powered Python extension for blazing-fast HTML and SVG creation.

⚡ 3-10x faster than pure Python implementations with minimal dependencies and maximum performance.

⚛️ Datastar-Ready - Built-in reactive component support with intelligent JavaScript expression detection.

🚨 Breaking Changes in v0.6.0: Advanced features moved to Nitro. See Migration Guide below.

Looking for web framework features? Check out the Nitro package which builds on RustyTags with advanced templates, UI components, SSE, and framework integrations.

What RustyTags Core Does

RustyTags Core is a minimal, high-performance HTML generation library that focuses on one thing: generating HTML and SVG content fast.

• 🏷️ Complete HTML5/SVG Tags: All standard HTML5 and SVG elements with optimized Rust implementations
• ⚡ Blazing Performance: 3-10x faster than pure Python with memory optimization and intelligent caching
• ⚛️ Powerful Datastar SDK: Type-safe Signal system with Python operator overloading, conditional logic, validation, and HTTP actions
• 🪶 Lightweight: Minimal dependencies - works with any Python web framework
• 🧠 Smart Processing: Automatic attribute handling and intelligent type conversion
• 🔧 Framework Ready: Drop-in replacement for any HTML generation needs

Quick Start

Installation

pip install rusty-tags

Basic HTML Generation

from rusty_tags import Div, P, H1, A, Button, Input

# Simple HTML elements
content = Div(
    H1("Welcome to RustyTags Core"),
    P("High-performance HTML generation with Rust + Python"),
    A("Learn More", href="https://github.com/ndendic/RustyTags"),
    cls="container"
)
print(content)
# Output:
# <div class="container">
#   <h1>Welcome to RustyTags Core</h1>
#   <p>High-performance HTML generation with Rust + Python</p>
#   <a href="https://github.com/ndendic/RustyTags">Learn More</a>
# </div>

Complete Page Generation

from rusty_tags import Html, Head, Title, Body, Meta, Link
from rusty_tags import Page  # Simple page helper

# Manual HTML structure
page = Html(
    Head(
        Title("My Site"),
        Meta(charset="utf-8"),
        Link(rel="stylesheet", href="/app.css")
    ),
    Body(
        H1("Hello World"),
        P("Built with RustyTags Core")
    )
)

# Or use the simple Page helper
page = Page(
    H1("Hello World"),
    P("Built with RustyTags Core"),
    title="My Site",
    hdrs=(Meta(charset="utf-8"), Link(rel="stylesheet", href="/app.css"))
)

Reactive Components with Datastar SDK

Inspired by the awesome StarHTML, RustyTags Core now includes an even more powerfull Datastar SDK that provides a Pythonic API for building reactive components with type-safe signals and expressions:

Quick Start with Signals

from rusty_tags import Div, Button, P, Input, Label, Span, Page
from rusty_tags.datastar import Signal, Signals

# Create signals using the Signals class
sigs = Signals(counter=0, user_name="John", is_active=True)

# Basic reactive counter with Signal methods
counter = Div(
    P(text=sigs.counter, cls="display"),
    Button("-", on_click=sigs.counter.sub(1)),
    Button("+", on_click=sigs.counter.add(1)),
    Button("Reset", on_click=sigs.counter.set(0)),
    cls="counter-widget",
    signals=sigs  # Signals object automatically converts to data-signals
)

# Create a complete page with Datastar CDN
page = Page(counter, title="Reactive App", datastar=True)

Signal Operations - Pythonic Reactive Expressions

The Signal SDK provides full Python operator overloading for building reactive JavaScript expressions:

Arithmetic Operators:

from rusty_tags.datastar import Signals

numbers = Signals(x=10, y=3)
demo = Div(
    P(text="X: " + numbers.x),                           # → "X: ${$x}"
    P(text="Y: " + numbers.y),                           # → "Y: ${$y}"
    P(text="Sum: " + (numbers.x + numbers.y)),           # → "Sum: ${$x + $y}"
    P(text="Product: " + (numbers.x * numbers.y)),       # → "Product: ${$x * $y}"
    P(text="Division: " + (numbers.x / numbers.y)),      # → "Division: ${$x / $y}"
    P(text="Modulo: " + (numbers.x % numbers.y)),        # → "Modulo: ${$x % $y}"

    Button("X +5", on_click=numbers.x.add(5)),
    Button("Y +1", on_click=numbers.y.add(1)),
    signals=numbers
)

Comparison & Logical Operators:

from rusty_tags.datastar import Signal

age = Signal("age", 25)
has_license = Signal("has_license", True)

validation = Div(
    P(text="Age: " + age),
    P(text="Has License: " + has_license),
    P(text="Is Adult (≥18): " + (age >= 18)),            # → ($age >= 18)
    P(text="Can Drive: " + ((age >= 18) & has_license)), # → (($age >= 18) && $has_license)
    P(text="Is Minor: " + (age < 18)),                   # → ($age < 18)
    P(text="No License: " + (~has_license)),             # → (!$has_license)

    Button("Age +1", on_click=age.add(1)),
    Button("Toggle License", on_click=has_license.toggle()),
    signals={"age": 25, "has_license": True}
)

String Methods:

text = Signal("text", "Hello World")

string_demo = Div(
    Input(type="text", bind=text, placeholder="Enter text"),
    P(text="Original: " + text),
    P(text="Uppercase: " + text.upper()),                # → $text.toUpperCase()
    P(text="Lowercase: " + text.lower()),                # → $text.toLowerCase()
    P(text="Length: " + text.length),                    # → $text.length
    P(text="Contains 'Hello': " + text.contains("Hello")), # → $text.includes('Hello')
    signals={"text": "Hello World"}
)

Array Methods:

items = Signal("items", ["Apple", "Banana"])
new_item = Signal("new_item", "Orange")

array_demo = Div(
    Input(type="text", bind=new_item, placeholder="New item"),
    # Chaining multiple actions with semicolons
    Button("Add Item", data_on_click=items.append(new_item).to_js() + "; " + new_item.set("").to_js()),
    Button("Remove Last", data_on_click=items.pop()),
    Button("Clear All", data_on_click=items.set([])),

    P("Count: ", Span(text=items.length)),               # → $items.length
    P("Items: ", Span(text=items.join(", "))),           # → $items.join(', ')
    P("Empty: ", Span(text=items.length == 0)),          # → $items.length === 0
    signals={"items": ["Apple", "Banana"], "new_item": ""}
)

Math Methods:

value = Signal("value", 7.825)

math_demo = Div(
    P("Value: ", Span(text=value)),
    P("Rounded: ", Span(text=value.round())),            # → Math.round($value)
    P("Rounded (2 decimals): ", Span(text=value.round(2))),
    P("Absolute: ", Span(text=value.abs())),             # → Math.abs($value)
    P("Min with 5: ", Span(text=value.min(5))),          # → Math.min($value, 5)
    P("Max with 10: ", Span(text=value.max(10))),        # → Math.max($value, 10)
    P("Clamped (0-10): ", Span(text=value.clamp(0, 10))), # → Math.max(0, Math.min(10, $value))

    Button("+0.5", data_on_click=value.add(0.5)),
    Button("-0.5", data_on_click=value.sub(0.5)),
    signals={"value": 7.825}
)

Advanced Features - Conditionals, Patterns & Templates

Conditional Expressions with if_():

from rusty_tags.datastar import if_

score = Signal("score", 75)

conditional = Div(
    P("Score: ", Span(text=score)),
    # Simple ternary
    P("Grade: ", Span(text=if_(score >= 90, "A", "B"))),  # → ($score >= 90) ? 'A' : 'B'
    P("Status: ", text=if_(score >= 60, "Pass", "Fail")),

    # Nested conditionals
    P("Grade: ", Span(text=if_(score >= 90, "A",
                              if_(score >= 80, "B",
                                 if_(score >= 70, "C", "F"))))),

    # Conditional rendering with data-show
    Div(text=if_(score >= 90, "🎉 Excellent!",
                 if_(score >= 70, "👍 Good", "📚 Keep trying")),
        style="font-size: 2rem; text-align: center;"),

    Button("+10", data_on_click=score.add(10)),
    Button("-10", data_on_click=score.sub(10)),
    signals={"score": 75}
)

Pattern Matching with match():

from rusty_tags.datastar import match

status = Signals(status="idle")

status_demo = Div(
    P("Current Status: ", Span(text=status.status)),
    Div(
        text=match(
            status.status,
            idle="⏸️ Ready to start",
            loading="⏳ Processing...",
            success="✅ Completed!",
            error="❌ Failed!",
            default="❓ Unknown"
        ),
        style="font-size: 1.5rem; text-align: center; padding: 1rem;"
    ),

    Button("Idle", on_click=status.status.set("idle")),
    Button("Loading", on_click=status.status.set("loading")),
    Button("Success", on_click=status.status.set("success")),
    Button("Error", on_click=status.status.set("error")),
    signals=status
)

Template Literals with f():

from rusty_tags.datastar import f

user = Signals(first_name="John", last_name="Doe", age_val=25)

template = Div(
    Input(type="text", bind=user.first_name, placeholder="First name"),
    Input(type="text", bind=user.last_name, placeholder="Last name"),
    Input(type="number", bind=user.age_val, placeholder="Age"),

    P(text=f("Hello, {fn} {ln}!", fn=user.first_name, ln=user.last_name)),
    P(text=f("You are {age} years old.", age=user.age_val)),
    P(text=f("In 10 years, you'll be {future}.", future=user.age_val + 10)),
    signals=user
)

Dynamic CSS Classes

Using collect() for conditional class joining:

from rusty_tags.datastar import collect

is_large = Signal("is_large", False)
is_bold = Signal("is_bold", False)
is_italic = Signal("is_italic", False)

collect_demo = Div(
    Label(Input(type="checkbox", bind=is_large), " Large"),
    Label(Input(type="checkbox", bind=is_bold), " Bold"),
    Label(Input(type="checkbox", bind=is_italic), " Italic"),

    P(
        "Styled Text",
        data_class=collect([
            (is_large, "large"),
            (is_bold, "bold"),
            (is_italic, "italic")
        ], join_with=" "),
        style="transition: all 0.3s;"
    ),
    signals={"is_large": False, "is_bold": False, "is_italic": False}
)

Using classes() for Datastar's data-class (object literal):

from rusty_tags.datastar import classes

cls_large = Signal("cls_large", False)
cls_bold = Signal("cls_bold", False)
cls_blue = Signal("cls_blue", False)

classes_demo = Div(
    Label(Input(type="checkbox", bind=cls_large), " Large"),
    Label(Input(type="checkbox", bind=cls_bold), " Bold"),
    Label(Input(type="checkbox", bind=cls_blue), " Blue"),

    P(
        "Styled Text with data-class",
        data_class=classes(large=cls_large, bold=cls_bold, blue=cls_blue),
        style="transition: all 0.3s;"
    ),
    signals={"cls_large": False, "cls_bold": False, "cls_blue": False}
)

Form Validation with Logical Aggregation

Using all() and any() for validation:

from rusty_tags.datastar import all, any, if_

form_name = Signal("form_name", "")
form_email = Signal("form_email", "")
form_age = Signal("form_age", 0)
form_agree = Signal("form_agree", False)

# Define validation rules
name_valid = form_name.length >= 3
email_valid = form_email.contains("@")
age_valid = form_age >= 18
can_submit = all(name_valid, email_valid, age_valid, form_agree)

registration_form = Div(
    # Name field with validation
    Div(
        Label("Name:"),
        Input(type="text", bind=form_name, placeholder="Enter name (min 3 chars)"),
        P("✓ Valid", data_show=name_valid, style="color: green;"),
        P("✗ Too short", data_show=~name_valid, style="color: red;")
    ),

    # Email field with validation
    Div(
        Label("Email:"),
        Input(type="email", bind=form_email, placeholder="Enter email"),
        P("✓ Valid", data_show=email_valid, style="color: green;"),
        P("✗ Invalid", data_show=~email_valid, style="color: red;")
    ),

    # Age field with validation
    Div(
        Label("Age:"),
        Input(type="number", bind=form_age, placeholder="Enter age"),
        P("✓ Valid", data_show=age_valid, style="color: green;"),
        P("✗ Must be 18+", data_show=~age_valid, style="color: red;")
    ),

    # Terms checkbox
    Div(
        Label(Input(type="checkbox", bind=form_agree), " I agree to terms")
    ),

    # Submit button - disabled until all valid
    Button(
        "Submit",
        data_disabled=~can_submit,
        data_attr_style=if_(can_submit, "opacity: 1; cursor: pointer;",
                                        "opacity: 0.5; cursor: not-allowed;")
    ),
    P(text=f("Hello, {name}!", name=form_name), data_show=can_submit),

    signals={"form_name": "", "form_email": "", "form_age": 0, "form_agree": False}
)

HTTP Actions and Server Communication

from rusty_tags.datastar import post, get, put, patch, delete

# HTTP action helpers generate @action() expressions
api_demo = Div(
    Input(bind="$name", placeholder="Enter name"),
    Input(bind="$email", placeholder="Enter email"),

    # POST with reactive data (signals are automatically passed)
    Button(
        "Save User",
        on_click=post("/api/users", name="$name", email="$email"),
        cls="btn-primary"
    ),

    # GET request
    Button("Load Data", on_click=get("/api/data")),

    # PUT request
    Button("Update", on_click=put("/api/users/1", name="$name")),

    # PATCH request
    Button("Partial Update", on_click=patch("/api/users/1", email="$email")),

    # DELETE request
    Button("Delete", on_click=delete("/api/users/1")),

    Div(id="results"),
    signals={"name": "", "email": ""}
)

Property Access for Nested Data

# Access nested object properties naturally
user = Signal("user", {"name": "Alice", "age": 30, "email": "alice@example.com"})

user_profile = Div(
    P("Name: ", Span(text=user.name)),         # → $user.name
    P("Age: ", Span(text=user.age)),           # → $user.age
    P("Email: ", Span(text=user.email)),       # → $user.email
    P("Adult: ", Span(text=(user.age >= 18))), # → ($user.age >= 18)

    Button("Birthday", on_click=user.age.add(1)),
    Button("Change Name", on_click=user.name.set("Bob")),
    signals={"user": {"name": "Alice", "age": 30, "email": "alice@example.com"}}
)

Keyboard Shortcuts with data-on-keys Plugin

RustyTags supports the data-on-keys Datastar plugin for handling keyboard shortcuts:

from rusty_tags import Div, Input, Button

# Global keyboard shortcuts (window-scoped)
shortcuts = Div(
    "Press Ctrl+K to search, Escape to close",
    on_keys_ctrl_k="openSearch()",           # → data-on-keys:ctrl-k
    on_keys_escape="closeModal()",           # → data-on-keys:escape
    on_keys_ctrl_s="saveDocument()",         # → data-on-keys:ctrl-s
    on_keys_f1="showHelp()",                 # → data-on-keys:f1
)

# Element-scoped shortcuts (requires focus)
search_input = Input(
    type="text",
    placeholder="Search...",
    on_keys_enter__el="submitSearch()",      # → data-on-keys:enter__el
    on_keys_escape__el="clearInput()",       # → data-on-keys:escape__el
)

# With timing modifiers
throttled = Div(
    on_keys_space__throttle_1s="$counter++",           # → data-on-keys:space__throttle.1s
    on_keys_ctrl_s__debounce_500ms="saveDocument()",   # → data-on-keys:ctrl-s__debounce.500ms
)

# Capture all keys
keylogger = Div(on_keys="console.log($event.key)")     # → data-on-keys

Supported modifiers:

• __el - Element-scoped (requires focus)
• __stop - Stop event propagation
• __noprevent - Allow default browser behavior
• __throttle_Xs - Throttle execution (e.g., __throttle_1s)
• __debounce_Xms - Debounce execution (e.g., __debounce_500ms)

Complete Datastar SDK Features:

• Type-Safe Signals: Signal and Signals classes with automatic type inference
• Python Operators: Full operator overloading (+, -, *, /, %, ==, !=, <, >, <=, >=, &, |, ~)
• Signal Methods: .add(), .sub(), .set(), .toggle(), .append(), .pop(), .remove()
• String Methods: .upper(), .lower(), .strip(), .contains(), .length
• Math Methods: .round(), .abs(), .min(), .max(), .clamp()
• Array Methods: .append(), .prepend(), .pop(), .remove(), .join(), .slice(), .length
• Conditionals: if_() for ternary expressions, match() for pattern matching
• Templates: f() for JavaScript template literals with embedded expressions
• Dynamic Classes: collect() for joining, classes() for object literals
• Validation: all() and any() for logical aggregation
• HTTP Actions: get(), post(), put(), patch(), delete() action generators
• Keyboard Shortcuts: on_keys_* for the data-on-keys plugin with modifier support
• Raw JavaScript: js() function for raw JavaScript when needed
• Property Access: Natural Python syntax for nested object properties

SVG Generation

from rusty_tags import Svg, Circle, Rect, Line, Path

# Create SVG graphics
chart = Svg(
    Circle(cx="50", cy="50", r="40", fill="blue"),
    Rect(x="10", y="10", width="30", height="30", fill="red"),
    Line(x1="0", y1="0", x2="100", y2="100", stroke="black"),
    width="200", height="200", viewBox="0 0 200 200"
)

Core Features

🏷️ Complete HTML5/SVG Tag System

All standard HTML5 and SVG elements are available as Python functions:

# HTML elements
Html, Head, Body, Title, Meta, Link, Script
H1, H2, H3, H4, H5, H6, P, Div, Span, A
Form, Input, Button, Select, Textarea, Label
Table, Tr, Td, Th, Tbody, Thead, Tfoot
Nav, Main, Section, Article, Header, Footer
Img, Video, Audio, Canvas, Iframe
# ... and many more

# SVG elements
Svg, Circle, Rect, Line, Path, Polygon
G, Defs, Use, Symbol, LinearGradient
Text, Image, ForeignObject
# ... complete SVG support

⚡ Performance Optimizations

• Memory Pooling: Thread-local string pools and arena allocators minimize allocations
• Intelligent Caching: Lock-free attribute processing with smart cache invalidation
• String Interning: Common HTML strings pre-allocated for maximum efficiency
• Type Optimization: Fast paths for common Python types and HTML patterns

🔧 Smart Type System

Intelligent handling of Python types:

# Automatic type conversion
Div(
    42,           # Numbers → strings
    True,         # Booleans → "true"/"false"
    None,         # None → empty string
    [1, 2, 3],    # Lists → joined strings
    custom_obj,   # Objects with __html__(), render(), or _repr_html_()
)

# Dictionary attributes automatically expand
Div("Content", {"id": "main", "class": "container", "hidden": False})
# Renders: <div id="main" class="container">Content</div>

# Framework integration - automatic recognition
class MyComponent:
    def __html__(self):
        return "<div>Custom HTML</div>"

Div(MyComponent())  # Automatically calls __html__()

🪶 Framework Agnostic

Works with any Python web framework:

# FastAPI
from fastapi import FastAPI
from fastapi.responses import HTMLResponse

app = FastAPI()

@app.get("/")
def home():
    return HTMLResponse(str(Page(H1("FastAPI + RustyTags"), title="Home")))

# Flask
from flask import Flask

app = Flask(__name__)

@app.route("/")
def home():
    return str(Page(H1("Flask + RustyTags"), title="Home"))

# Django
from django.http import HttpResponse

def home(request):
    return HttpResponse(str(Page(H1("Django + RustyTags"), title="Home")))

📓 Jupyter Integration

from rusty_tags import show

# Display directly in Jupyter notebooks
content = Div(H1("Notebook Content"), style="color: blue;")
show(content)  # Renders directly in Jupyter cells

Performance

RustyTags Core delivers significant performance improvements over pure Python:

• 3-10x faster HTML generation
• Sub-microsecond rendering for simple elements
• Memory efficient with intelligent pooling
• Scalable with lock-free concurrent data structures

# Benchmark example
import timeit
from rusty_tags import Div, P

def generate_content():
    return Div(
        *[P(f"Paragraph {i}") for i in range(1000)],
        cls="container"
    )

# Time the generation
time = timeit.timeit(generate_content, number=1000)
print(f"Generated 1000 pages with 1000 paragraphs each in {time:.3f}s")

Architecture

🦀 Rust Core (src/lib.rs):

• High-performance HTML/SVG generation with PyO3 bindings
• Advanced memory management with pooling and interning
• Complete tag system with macro-generated optimizations
• ~2000+ lines of optimized Rust code

🐍 Python Layer (rusty_tags/):

• Core Module (__init__.py): All HTML/SVG tags and core types
• Utilities (utils.py): Essential helpers (Page, page_template, show, AttrDict)
• Datastar SDK (datastar.py): Type-safe Signal system with Python operator overloading for reactive expressions
• Rust Extension: Pre-compiled high-performance core with Datastar processing

Migration from Pre-0.6.x

🚨 Breaking Changes in v0.6.0

RustyTags v0.6.0 represents a major architectural shift to focus on core HTML generation performance. Advanced web framework features have been moved to the separate Nitro package.

What's Removed from RustyTags Core:

What's Kept in RustyTags Core:

Migration Guide:

Before v0.6.0 (Monolithic):

# Old import style - no longer works
from rusty_tags import Div, DS, Client, Accordion
from rusty_tags.events import emit

After v0.6.0 (Enhanced Core):

# Core HTML generation + Datastar SDK (RustyTags)
from rusty_tags import Div, Page, page_template, Button, Input
from rusty_tags.datastar import Signal, Signals, if_, match, f, all, any
from rusty_tags.datastar import post, get, put, patch, delete  # HTTP actions

# Advanced web framework features (Nitro - separate install)
from nitro import Client, Accordion
from nitro.events import emit

Installation Changes:

# Before v0.6.0
pip install rusty-tags  # Included everything

# After v0.6.0
pip install rusty-tags        # Core HTML + complete Datastar integration
pip install nitro             # For advanced web framework features (events, SSE, etc.)

Code Migration Examples:

1. Basic HTML Generation (No changes needed):

# ✅ Works exactly the same
from rusty_tags import Div, H1, P
content = Div(H1("Hello"), P("World"))

2. Basic Datastar (No changes needed):

# ✅ Works exactly the same - built into Rust core
from rusty_tags import Div, Button
counter = Div(
    Button("+1", on_click="$count++"),
    signals={"count": 0}
)

3. Datastar SDK (Completely rewritten with Signal system):

# ✅ New Signal-based API in v0.6.0+
from rusty_tags.datastar import Signal, Signals, post, if_, all

# Create type-safe signals
sigs = Signals(name="", email="")

# Use Python operators for reactive expressions
form = Div(
    Input(bind=sigs.name, placeholder="Name"),
    Input(bind=sigs.email, placeholder="Email"),

    # New HTTP action helpers
    Button("Submit", on_click=post("/api/submit", name=sigs.name, email=sigs.email)),

    # Conditional logic with if_()
    P(text=if_(sigs.name.length >= 3, "Valid name", "Too short")),

    # Validation with all()
    Button("Save", data_disabled=~all(sigs.name.length >= 3, sigs.email.contains("@"))),

    signals=sigs
)

4. Page Templates (Minor changes):

# ✅ Still works in RustyTags Core
from rusty_tags import Page, page_template

# Basic templating stays the same
page = Page(content, title="My App", datastar=True)
template = page_template("My App", datastar=True)

# ❌ Advanced CDN features moved to Nitro
# highlightjs=True, lucide=True parameters now in Nitro

Why This Change?

• Performance: Core package is now 10x smaller and has zero dependencies
• Flexibility: Choose your complexity level - core HTML or full framework
• Maintenance: Clear separation of concerns between HTML generation and web framework
• Adoption: Lower barrier to entry for simple HTML generation needs

The new Datastar SDK in RustyTags Core provides a powerful, type-safe reactive system with Python operator overloading - giving you excellent reactive capabilities without requiring the full Nitro framework.

Why RustyTags Core?

Choose RustyTags Core when:

• ✅ You need maximum performance for HTML generation
• ✅ You want minimal dependencies in your project
• ✅ You're building your own templating system
• ✅ You need framework-agnostic HTML generation
• ✅ You want drop-in compatibility with any Python web framework

Consider Nitro when:

• 🚀 You want a full web framework with reactive components
• 🎨 You need advanced templating and UI component libraries
• 📡 You want real-time features (SSE, WebSocket management)
• ⚛️ You need Datastar integration for reactive UIs

System Requirements

• Python 3.8+ (broad compatibility across versions)
• Runtime Dependencies: None (zero dependencies for maximum compatibility)
• Optional: IPython for show() function in Jupyter notebooks
• Build Requirements (development only): Rust 1.70+, Maturin ≥1.9

Development

# Clone and build from source
git clone https://github.com/ndendic/RustyTags
cd RustyTags
maturin develop  # Development build
maturin build --release  # Production build

License

MIT License - See LICENSE file for details.

Related Projects

• Nitro - Full-stack web framework built on RustyTags
• FastHTML - Inspiration for the Python API design
• Datastar - Reactive component framework (used in Nitro)

Links

• Repository: https://github.com/ndendic/RustyTags
• Issues: https://github.com/ndendic/RustyTags/issues
• Documentation: See README and docstrings
• Performance: Rust-powered core with PyO3 bindings