gananayantra-rusting

gananayantra is a professional-grade, multi-industry calculation engine written in Rust. It provides reusable, pure-function calculators across diverse domains including Finance, AI, Computer Vision, Edge Computing, Robotics, and more.

Key Features

• Library-First: All logic is exposed as pure functions. No forced CLI or I/O.
• Safe: Uses Result<T, String> for error handling.
• Comprehensive: Covers 15+ industries with 100+ specialized calculators.
• Zero-Dependency Core: Minimal dependencies (only chrono for dates).

Modules

• Finance: ROI, TVM, Compound Interest, Loans, Tax, Retirement, Auto Loans, Quant (Sharpe, VaR)
• Health: BMI, BMR, Body Fat, Pregnancy, Fitness
• Energy: Power Consumption, Electricity Cost
• Physics: Fluid Dynamics (Reynolds), Kinematics (KE/PE)
• Logistics: Freight Volumetric Weight, EOQ
• Climate: Carbon Footprint, Solar ROI, Battery Storage
• Semiconductor: Yields, Wafer Utilization, Costs, Moore's Law
• AI & Compute: Training Costs, Inference, Business ROI, Infrastructure, Operations, Development
• Computer Vision: Processing Times, Compression, FPS Optimization, IoU
• NLP: Text Analysis, Reading Time, Similarity, Compression
• Edge AI: IoT Battery Life, Inference Latency, Quantization
• Robotics: Kinematics, Energy Consumption
• Economics: CLV, AI ROI, Supply Chain Efficiency
• Future Tech: Quantum Computing Metrics
• Data Science: Metrics (F1, Accuracy), Statistics (Drift)
• Geo: Earth Distance (Haversine), Horizon
• Water: Pressure at Depth, Flow Rate
• Space: Orbital Velocity, Escape Velocity, Period, Rocketry, Satellites
• Math: Statistics, Geometry, Advanced Math
• Utilities: Lifestyle tools, Percentage, Password Gen (Basic)
• Specialized: Building, Electronics, Networking, Science

Installation

Add this to your Cargo.toml:

[dependencies]
gananayantra-rusting = "1.5.0"

Quick Start

use gananayantra::finance::tvm::future_value;
use gananayantra::ai::model::calculate_model_memory;

fn main() {
    // Finance
    let fv = future_value(10_000.0, 0.08, 5).unwrap();
    println!("Future Value: {:.2}", fv);

    // AI
    let mem = calculate_model_memory(70.0, 16.0, 4096.0, 8192.0, 80.0).unwrap();
    println!("AI Model Memory: {:.2} GB", mem);
}

Examples

Check the examples/ directory for usage of every module:

• examples/finance_tvm.rs
• examples/ai_advanced.rs
• examples/computer_vision.rs
• examples/nlp.rs
• examples/edge_ai.rs
• examples/robotics.rs
• examples/economics.rs
• examples/data_science.rs
• ...and many more.

Run an example:

cargo run --example ai_advanced

License

MIT