webrust 0.9.0

Python-like Rust for Web Applications - A bridge between Python simplicity and Rust power
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WebRust v0.9.0 - Interactive Data Visualization Framework

Python-like simplicity meets Rust performance with integrated business intelligence capabilities

WebRust transforms Rust development by providing Python's elegance with zero-cost abstractions, now featuring interactive data visualization, professional table generation, and complete business intelligence workflows.

Mission

WebRust aims to lower the barrier to Rust adoption by providing familiar Python-like ergonomics while maintaining Rust's performance and safety guarantees. Our goal is to demonstrate that systems programming can be both powerful and approachable.

By bridging the gap between Python's ease of use and Rust's capabilities, WebRust serves as both a practical development tool and a proof-of-concept for ergonomic systems programming paradigms.

What's New in v0.9.0

Interactive Data Visualization

  • Professional Charts - Line, bar, pie, and scatter plots with ECharts integration
  • Seamless Integration - Charts work directly with tables and GUI system
  • Business Intelligence - Complete dashboard creation capabilities
  • Real-time Rendering - Interactive charts with hover effects and zoom

Complete Analysis Workflow

use webrust::prelude::*;

#[gui] fn main() { let sales = HashMap::from([("Q1", 85.0), ("Q2", 92.0), ("Q3", 78.0), ("Q4", 96.0)]);

// Professional table analysis
table(&sales).header(["Quarter", "Revenue (k$)"]);

// Interactive visualization  
chart(&sales, "bar")
    .title("Quarterly Performance")
    .color("#2ecc71");

}

Core Features

Zero-Configuration GUI

Transform any Rust function into a professional web application:

#[gui(bg = "navy", fg = "white", font = "Arial")] fn main() { println("Hello, WebRust!"); }

Professional Styling

CSS-like styling with responsive layouts:

println("BUSINESS DASHBOARD") .width(*CW) // Dynamic width .align("center") // Center alignment .weight(4) // Border thickness .style("double") // Border style .radius(8) // Rounded corners .background("navy"); // Background color

Smart Data Visualization

Automatic table generation from any data structure:

let mut scores = HashMap::new(); scores.insert("Alice", 95); scores.insert("Bob", 87);

table(&scores).header(["Student", "Score"]);

Python-like Strings

Familiar string methods with Rust performance:

let result = "python,rust,go".split_by(",").join(" → "); // "python → rust → go" let clean = " hello world ".trim().title(); // "Hello World" let padded = "42".zfill(6); // "000042"

Mathematical Expressions

LaTeX integration for scientific computing:

println("Einstein's equation: $(E = mc2)$"); println("Quadratic formula: $(x = \frac{-b \pm \sqrt{b2-4ac}}{2a})$");

Business Intelligence Example

Create professional dashboards with minimal code:

use webrust::prelude::*; use std::collections::HashMap;

#[gui(bg = "grey", fg = "white", font = "Courier New")] fn main() { // Executive header println("QUARTERLY BUSINESS REVIEW") .width(*CW).align("center");

// Revenue analysis
let revenue = HashMap::from([
    ("Q1 2024", 85.0), ("Q2 2024", 92.0), 
    ("Q3 2024", 78.0), ("Q4 2024", 96.0)
]);

// Detailed table
table(&revenue).header(["Quarter", "Revenue (k$)"]);

// Interactive chart
chart(&revenue, "bar")
    .title("Quarterly Revenue Performance")
    .x_axis_label("Quarter")
    .y_axis_label("Revenue (k$)")
    .color("#2ecc71");

// Regional breakdown
let regions = vec![
    ("North", 25.0, 28.0, 22.0, 30.0, 105.0),
    ("South", 30.0, 32.0, 28.0, 35.0, 125.0),
    ("East", 20.0, 22.0, 18.0, 25.0, 85.0),
    ("West", 15.0, 18.0, 16.0, 20.0, 69.0),
];

table(&regions).header(["Region", "Q1", "Q2", "Q3", "Q4", "Total"]);

// Market share visualization
let market_share = PieData(
    vec!["North".to_string(), "South".to_string(), "East".to_string(), "West".to_string()],
    vec![105.0, 125.0, 85.0, 69.0]
);
chart(market_share, "pie").title("Regional Market Share");

}

Quick Start

1. Add WebRust to your project:

toml [dependencies] webrust = "0.9.0"

2. Create your first interactive dashboard:

use webrust::prelude::*;

#[gui] fn main() { let data = vec![10.0, 20.0, 15.0, 25.0]; table(&data).header(["Q1", "Q2", "Q3", "Q4"]); chart(&data, "line").title("Growth Trend"); }

3. Run and enjoy:

bash cargo run

Your browser opens automatically with an interactive dashboard!

Chart Types

Line Charts

Perfect for trends and time series:

chart(&monthly_data, "line") .title("Revenue Trend") .x_axis_label("Month") .y_axis_label("Revenue ($)") .series_name("Monthly Revenue") .color("#3498db");

Bar Charts

Great for comparisons:

chart(&category_data, "bar") .title("Sales by Category") .color("#2ecc71");

Pie Charts

Ideal for proportions:

let pie_data = PieData( vec!["Desktop".to_string(), "Mobile".to_string()], vec![60.0, 40.0] ); chart(pie_data, "pie").title("Traffic Sources");

Scatter Plots

Perfect for correlations:

chart(&correlation_data, "scatter") .title("Price vs Quality") .x_axis_label("Quality Score") .y_axis_label("Price ($)") .color("#e74c3c");

Professional Styling

WebRust provides complete control over visual presentation:

Borders and Layout

println("Professional Content") .width(*CW / 2) // Responsive width .align("justify") // Text alignment .weight(3) // Border thickness (1-5) .style("dashed") // Border style .radius(12) // Rounded corners .color("darkblue") // Border color .background("lightcyan"); // Background

Color System

println("Error: Something went wrong!"); println("Success: Data saved!"); println("Info: Processing...");

Smart Tables

Automatic table generation with professional formatting:

// From vectors let data = vec![("Alice", 95), ("Bob", 87), ("Charlie", 92)]; table(&data).header(["Name", "Score"]);

// From HashMaps let mut scores = HashMap::new(); scores.insert("Math", 95); scores.insert("Science", 88); table(&scores);

// Pivot tables let sales_data = vec![ ("North", 25.0, 28.0, 22.0, 30.0), ("South", 30.0, 32.0, 28.0, 35.0), ]; table(&sales_data).header(["Region", "Q1", "Q2", "Q3", "Q4"]);

String Processing

Python-compatible string methods with Rust performance:

// Smart splitting - one method, multiple patterns let csv = "name,age,city".split_by(","); // Comma-separated let words = "hello world\ttab".split_by(""); // Whitespace let lines = "L1\nL2\nL3".split_by("\n"); // Line breaks

// Case transformations let text = "hello world"; println!("{}", text.upper()); // "HELLO WORLD" println!("{}", text.title()); // "Hello World" println!("{}", text.capitalize()); // "Hello world"

// Padding and formatting println!("{}", "42".zfill(6)); // "000042" println!("{}", "text".center(10, '*')); // "text" println!("{}", "left".ljust(10, '-')); // "left------"

// Validation println!("{}", "hello".isalpha()); // true println!("{}", "12345".isdigit()); // true println!("{}", "user@host.com".endswith(".com")); // true

Scientific Computing

LaTeX integration for mathematical expressions:

#[gui] fn main() { println("Fundamental equations:"); println("• Newton's second law: $(F = ma)$"); println("• Schrödinger equation: $(i\hbar\frac{\partial}{\partial t}\Psi = \hat{H}\Psi)$"); println("• Maxwell's equations: $(\nabla \cdot \mathbf{E} = \frac{\rho}{\varepsilon_0})$");

// Experimental data visualization
let experimental_results = vec![2.1, 4.3, 3.8, 5.1, 4.9, 6.2];
chart(&experimental_results, "scatter")
    .title("Experimental Data Analysis")
    .x_axis_label("Trial Number")
    .y_axis_label("Measurement")
    .color("#9b59b6");

}

Installation & Setup

Prerequisites

  • Rust 1.70+
  • Web browser (Chrome, Firefox, Safari, Edge)

Add to Cargo.toml

toml [dependencies] webrust = "0.9.0"

Optional Features

toml [dependencies] webrust = { version = "0.9.0", features = ["full"] }

Real-World Applications

Financial Dashboard

#[gui(bg = "navy", fg = "white")] fn main() { let portfolio = HashMap::from([ ("AAPL", 15000.0), ("GOOGL", 12000.0), ("MSFT", 8000.0) ]);

table(&portfolio).header(["Stock", "Value ($)"]);
chart(&portfolio, "pie").title("Portfolio Allocation");

}

Scientific Analysis

#[gui] fn main() { let temperature_data = vec![20.1, 21.5, 19.8, 22.3, 20.9];

table(&temperature_data).header(["Day 1", "Day 2", "Day 3", "Day 4", "Day 5"]);
chart(&temperature_data, "line")
    .title("Temperature Monitoring")
    .y_axis_label("Temperature (°C)")
    .color("#e67e22");

}

Sales Analytics

#[gui] fn main() { let monthly_sales = HashMap::from([ ("Jan", 45000), ("Feb", 52000), ("Mar", 48000), ("Apr", 61000), ("May", 59000), ("Jun", 67000) ]);

table(&monthly_sales).header(["Month", "Sales ($)"]);
chart(&monthly_sales, "bar")
    .title("Monthly Sales Performance")
    .color("#27ae60");

}

Architecture

WebRust v0.9.0 features a modular architecture:

  • Core GUI (webrust::io::gui) - Web server and browser management
  • Data Visualization (webrust::data::chart) - Interactive chart generation
  • Table System (webrust::data::table) - Intelligent table formatting
  • String Processing (webrust::data::string) - Python-like string methods
  • Styling Engine (webrust::io::print) - Professional layout and design
  • Macro System (webrust-macros) - F-string processing and GUI transformation

Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

License

WebRust is licensed under the MIT License. See LICENSE for details.

WebRust v0.9.0 - Where Python Meets Rust Performance

Experience the perfect fusion of Python's elegance and Rust's power with professional business intelligence capabilities.

Built with care for the Rust community