mike-huls/cachr

Python library that allows you to compose your own cache, pre-packaged with many usefull caches

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cachr: superfast, composable caching for Python

Package
Meta

cachr is a Python package that provides superfast, composable caches designed to optimize your applications in an easy and intuitive way. It aims to be the go-to package to use and build caches that make your applications superfast, memory-efficient and user-friendly.

pip install cachr

Table of Contents

• Main Features
• Usage Example
• Installation
• Dependencies
• License
• Documentation
• Development
• Contributing to bloomlib

Main Features

• 🐍 Pure Python
• 🖌 Easily extendable
• 👨‍🎨 User-friendly

Usage Example

import time
from cachr import LRUCache


# 1. Decorate your function
@LRUCache(capacity=2)
def add(i, y):
    time.sleep(1)
    print("adding..")
    return i + y


print(add(1, 2))    # <-- takes a second to calculate
print(add(1, 2))    # <-- takes value from cache immediately 
print(add(1, 2))    # <-- takes value from cache immediately 

Installation

pip install cachr

The source code is currently hosted on GitHub at: https://github.com/mike-huls/cachr

Binary installers for the latest released version are available at the Python Package Index (PyPI).

Dependencies

Bloomlib has no Python dependencies

License

MIT

Documentation

🔨 Under construction

Development

Find the changelog and list of upcoming features here.
Contributions are always welcome; feel free to submit bug reports, bug fixes, feature requests, documentation improvements or enhancements!

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