---
id: intro
title: Kakashi Documentation
sidebar_label: Introduction
---

Kakashi is a **professional high-performance Python logging library** designed for production applications that require both high throughput and excellent concurrency scaling. It provides a modern, clean API with focus on performance and maintainability.

## 🚀 Performance Highlights

- **Throughput**: 56,310+ logs/sec (3.1x faster than standard library)
- **Concurrency**: 1.17x scaling (adding threads improves performance)
- **Async**: 169,074 logs/sec (9.3x faster than standard library)
- **Memory**: <0.02MB usage (efficient buffer management)

## 🎯 Key Capabilities

- **High-Performance Core**: Lock-free hot paths with thread-local buffering
- **True Async Logging**: Background processing with batch optimization
- **Structured Logging**: Field-based logging with minimal overhead
- **Thread-Safe Design**: Minimal contention for concurrent applications
- **Drop-in Replacement**: Compatible with Python's built-in logging
- **Professional Code**: Clean, maintainable architecture

## ⚖️ Legal Disclaimer

**⚠️ IMPORTANT**: Performance metrics and benchmark results are provided for informational purposes only. Performance may vary significantly based on system configuration, workload patterns, and environmental factors. These results are not guarantees of performance and should not be used for commercial claims or comparisons without independent verification.

### Performance Claims
- All performance metrics are based on specific test conditions and may not reflect real-world performance
- Comparisons with other libraries are provided for context only and should not be considered definitive
- Users are encouraged to conduct their own performance testing in their specific environments
- Results may vary between different Python versions, operating systems, and hardware configurations

### Usage and Liability
- Kakashi is provided "as is" without warranty of any kind
- Users assume all risk associated with the use of this software
- The authors and contributors are not liable for any damages arising from the use of Kakashi
- Always test thoroughly in your specific environment before production deployment

If you're new, start with Getting Started → Installation and Quickstart.


