Pyroid
Python on Rust-Powered Steroids
Blazing fast Rust-powered utilities with a Pythonic interface
Performance Without Compromise
Pyroid eliminates Python’s performance bottlenecks by providing high-performance implementations of common operations, powered by Rust’s speed and memory safety. Keep the Python productivity you love while unlocking the performance you need.
Why Pyroid?
⚡ Rust Performance
Dramatic speed improvements without sacrificing Python’s simplicity and readability
🔧 Pythonic Interface
Clean, familiar APIs that integrate seamlessly with existing Python codebases
🚀 Zero-Copy Operations
Efficient memory management with zero-copy buffer protocols
🔄 Async Runtime
Unified async runtime powered by Tokio for high-performance operations
Key Features
High-Performance Modules
Optimized implementations for math operations, string processing, data manipulation, I/O operations, image processing, and machine learning—all accessible through clean, Pythonic APIs.
Memory Efficiency
Zero-copy buffer protocols ensure efficient memory management without unnecessary data copying, while GIL-aware scheduling optimizes performance within Python’s constraints.
Parallel Processing
Built-in parallel processing capabilities for high-throughput workloads, leveraging Rust’s fearless concurrency model.
Domain-Driven Design
Intuitive module organization for math, string processing, data operations, I/O, image processing, and machine learning that mirrors Python’s native APIs.
Simple Installation
Install with pip install pyroid - no complex build processes or system dependencies required.
What Our Users Say
“Pyroid has completely transformed our data processing pipeline. Before discovering this library, we were hitting serious performance walls when processing large datasets. With Pyroid, we simply replaced our bottleneck functions with their Rust-powered equivalents, keeping the same Pythonic interface our team loves. Our processing times dropped by 98%, and we didn’t have to compromise on code readability or maintainability.”
Dr. Emily Chen
Lead Data Scientist, DataFlow Analytics
Performance Comparison
| Operation | Pure Python | Pyroid | Improvement |
|---|---|---|---|
| Large Dataset Processing | 45 minutes | 54 seconds | 98% faster |
| String Operations | 2.3 seconds | 0.12 seconds | 95% faster |
| Mathematical Computations | 8.7 seconds | 0.31 seconds | 96% faster |
| I/O Operations | 12.1 seconds | 0.89 seconds | 93% faster |
Technical Architecture
Pyroid employs a hybrid approach combining Python’s ease of use with Rust’s performance:
- Seamless Python-Rust interface with familiar syntax
- Zero-copy buffer protocol for efficient memory management
- Tokio-powered async runtime for high-performance operations
- GIL-aware scheduling optimized for Python constraints
- Modular design for minimal dependencies and lightweight applications
Quick Start
# Install Pyroid
pip install pyroid
# Import and use
import pyroid
# High-performance string operations
result = pyroid.string.fast_replace(large_text, pattern, replacement)
# Blazing fast math operations
computed = pyroid.math.parallel_compute(large_dataset)
# Efficient data processing
processed = pyroid.data.transform(massive_dataframe)
Get Started
Pyroid is available now as an open source project under the MIT license. Install directly from PyPI or contribute to development.
GitHub Repository • PyPI Package • Documentation
Eliminate Python performance bottlenecks with Pyroid. Experience the best of both worlds: Python’s productivity with Rust’s performance.