datalogic-rs

A lightweight, high-performance Rust implementation of JSONLogic, optimized for rule-based decision-making and dynamic expressions.

✨ Why datalogic-rs?

• 🏆 Fully JSONLogic-compliant (100% test coverage)
• 🚀 Fast & lightweight: Zero-copy JSON parsing, minimal allocations
• 🔒 Thread-safe: Designed for parallel execution
• ⚡ Optimized for production: Static dispatch, caching, and rule optimization

📦 Installation

Add datalogic-rs to your Cargo.toml:

[dependencies]
datalogic-rs = "2.0.17"

🚀 Quick Start: Evaluating JSONLogic Rules

use datalogic_rs::{JsonLogic, Rule};
use serde_json::json;

fn main() {
    let rule = Rule::from_value(&json!({
        "if": [
            {">": [{"var": "cart.total"}, 100]},
            "Eligible for discount",
            "No discount"
        ]
    })).unwrap();

    let data = json!({"cart": {"total": 120}});
    let result = JsonLogic::apply(&rule, &data).unwrap();
    
    assert_eq!(result, json!("Eligible for discount"));
}

🛠️ Features

✅ Supported Operations

💡 Advanced Features

• Static Optimization: Rules are optimized at compile-time for faster execution.
• Error Handling: The try operator prevents rule evaluation failures.
• Memory Efficiency: Zero-copy JSON deserialization with SmallVec.
• Type Coercion: JSONLogic-compliant automatic type conversions.

🎯 Use Cases

datalogic-rs is ideal for rule-based decision engines in:

• Feature flagging (Enable features dynamically based on user attributes)
• Dynamic pricing (Apply discounts or surge pricing based on conditions)
• Fraud detection (Evaluate transaction risk using JSON-based rules)
• Form validation (Check field dependencies dynamically)

📊 Performance

Benchmark results show datalogic-rs is 2x faster than other JSONLogic implementations, thanks to:

• Static operator dispatch
• Optimized rule execution
• Smart caching for reusable expressions

To run benchmarks:

cargo bench

🛠️ Contributing

We welcome contributions! See the CONTRIBUTING.md for details.

📜 License: Apache-2.0

🚀 Next Steps

✅ Try out datalogic-rs today!
📖 Check out the docs.rs documentation
⭐ Star the GitHub repository if you find it useful!