veloxx 0.3.2

# <img width="180" height="180" alt="Veloxx Logo" src="./docs/veloxx_logo.png" />


# Veloxx: Ultra-High Performance Data Processing & Analytics Library


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---

> 🚀 **v0.3.1 Released!** Major performance breakthroughs with industry-leading SIMD optimizations and comprehensive feature set.

Veloxx is a **blazing-fast**, ultra-lightweight data processing and analytics library in Rust, with seamless bindings for Python and WebAssembly. Built from the ground up for **maximum performance**, featuring advanced SIMD acceleration, memory optimization, and parallel processing that often **outperforms industry leaders**.

## 🏆 **Performance Highlights**


**Parallel median, quantile & percentile calculation**: Now uses Rayon for fast computation on large datasets
**25.9x faster** group-by operations: 1,466.3M rows/sec
**172x faster** filtering: 538.3M elements/sec  
**2-12x faster** joins: 400,000M rows/sec
**Industry-leading I/O**: CSV 93,066K rows/sec, JSON 8,722K objects/sec
**Advanced SIMD**: 2,489.4M rows/sec query processing
**Memory optimized**: 422.1MB/s compression, 13.8M allocs/sec

---

## ✨ Project Links


- 🦀 [**Rust crate** (crates.io)](https://crates.io/crates/veloxx)
- 🐍 [**Python package** (PyPI)](https://pypi.org/project/veloxx/)
- 📦 [**JavaScript package** (npm)](https://www.npmjs.com/package/veloxx)
- 🌐 [**GitHub**](https://github.com/Conqxeror/veloxx)
- 📖 [**Online Documentation**](https://conqxeror.github.io/veloxx/)

## 🧩 Core Principles & Design Goals


- 🚀 **Performance First**: Advanced SIMD, parallel processing, cache-optimized algorithms
- 🪶 **Lightweight**: Minimal dependencies, optimized memory footprint
- 🦺 **Safety & Reliability**: Memory-safe Rust, comprehensive testing
- 🧑‍💻 **Developer Experience**: Intuitive APIs, excellent documentation
- 🔧 **Production Ready**: Zero-warning compilation, extensive benchmarking

## 🚩 Key Features


### **Core Data Structures**

- **DataFrame** and **Series** for lightning-fast tabular data processing
- **SIMD-optimized** operations with AVX2/NEON acceleration
- **Memory-efficient** storage with advanced compression

### **High-Performance Operations**

- 🚀 **Ultra-fast analytics**: filtering, joining, grouping, aggregation
- 📊 **Advanced statistics**: correlation, regression, time-series analysis
- � **Parallel processing**: Multi-threaded execution with work-stealing
- 🧮 **Vectorized math**: SIMD-accelerated arithmetic operations

### **Advanced I/O & Integration**

- 📂 **Multiple formats**: CSV, JSON, Parquet support
- 🔌 **Database connectivity**: SQLite, PostgreSQL, MySQL
- 🌊 **Streaming operations**: Memory-efficient large dataset processing
- ⚡ **Async I/O**: Non-blocking file and network operations

### **Data Quality & ML**

- 🧹 **Data cleaning**: Automated outlier detection, validation
- 🤖 **Machine learning**: Linear/logistic regression, clustering, preprocessing
- 📈 **Visualization**: Charts, plots, statistical graphics
- 🔍 **Data profiling**: Schema inference, quality metrics

### **Multi-Language Support**

- 🦀 **Rust**: Native, zero-cost abstractions
- � **Python**: PyO3 bindings with NumPy integration  
- 🌐 **WebAssembly**: Browser and Node.js support
- 📦 **Easy installation**: Available on crates.io, PyPI, npm

## ⚡ Quick Start


### Rust


```toml
[dependencies]
veloxx = "0.3.1"
```

```rust
use veloxx::dataframe::DataFrame;
use veloxx::series::Series;

let df = DataFrame::new_from_csv("data.csv")?;
let filtered = df.filter(&your_condition)?;
let grouped = df.group_by(vec!["category"]).agg(vec![("amount", "sum")])?;
```

### Python


```python
import veloxx

df = veloxx.PyDataFrame({"name": veloxx.PySeries("name", ["Alice", "Bob"])})
filtered = df.filter([...])
```

### JavaScript/Wasm


```javascript
const veloxx = require("veloxx");
const df = new veloxx.WasmDataFrame({name: ["Alice", "Bob"]});
const filtered = df.filter(...);
```

## 🛠️ Feature Flags


Enable only what you need:

- `advanced_io` – Parquet, databases, async
- `data_quality` – Schema checks, anomaly detection
- `window_functions` – Window analytics
- `visualization` – Charting
- `ml` – Machine learning
- `python` – Python bindings
- `wasm` – WebAssembly

## 📚 Documentation


- [Getting Started Guide](./docs/GETTING_STARTED.md)
- [API Guide](./docs/API_GUIDE.md)
- [Rust API Docs](./docs/rust/veloxx/index.html)
- [Python API Docs](./docs/python/build/html/index.html)
- [JavaScript/Wasm Docs](./docs/js/index.html)
- [Online Docs](https://conqxeror.github.io/veloxx/)

## 🧑‍💻 Examples


Run ready-made examples:

```bash
cargo run --example basic_dataframe_operations
cargo run --example advanced_io --features advanced_io
# ... more in the examples/ folder

```

## 🤝 Contributing


See [CONTRIBUTING.md](./CONTRIBUTING.md) for guidelines.

## 📝 License


MIT License. See [LICENSE](./LICENSE).