# pylibmc: A Fast Python Client for Memcached

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pylibmc is a high-performance Python client for Memcached, implemented as a C wrapper around the libmemcached interface. It offers efficient data caching, Python 2.x and 3.x interoperability, and robust handling of various data types, making it a reliable choice for applications requiring fast memory caching.

GitHub: https://github.com/lericson/pylibmc
OSRepos URL: https://osrepos.com/repo/lericson-pylibmc

## Summary

pylibmc is a high-performance Python client for Memcached, implemented as a C wrapper around the libmemcached interface. It offers efficient data caching, Python 2.x and 3.x interoperability, and robust handling of various data types, making it a reliable choice for applications requiring fast memory caching.

## Topics

- Python
- Memcached
- C
- Caching
- Client
- Wrapper
- High Performance

## Repository Information

Last analyzed by OSRepos: Sun May 10 2026 12:59:14 GMT+0100 (Western European Summer Time)
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## Content

## Introduction

`pylibmc` is a high-performance Python client for `memcached`, implemented as a C wrapper around the `libmemcached` interface. This project provides a robust and efficient way for Python applications to interact with Memcached servers, leveraging the speed of C for critical operations. It has evolved to support modern Python versions, including Python 3.x, and includes significant improvements in stability and interoperability.

## Installation

Installing `pylibmc` is straightforward, thanks to its `pip` package and the availability of ManyLinux wheels, which simplify installation on many Linux systems. As it's a C wrapper, it relies on underlying C libraries, but `pip` usually handles the dependencies.

To install `pylibmc`, simply run:

bash
pip install pylibmc


## Examples

For detailed usage examples and comprehensive guides on how to integrate `pylibmc` into your Python applications, please refer to the official documentation. The documentation provides practical code snippets and explanations for various caching scenarios.

## Why Use pylibmc?

`pylibmc` stands out as a preferred Memcached client for several reasons:

*   **High Performance**: Being a C wrapper, `pylibmc` offers superior performance compared to pure Python implementations, making it ideal for high-throughput applications.
*   **Robustness and Stability**: Recent versions have addressed critical memory leaks and bugs, ensuring a more stable and reliable caching experience.
*   **Python 2.x and 3.x Interoperability**: With features like the `pickle_protocol` behavior, `pylibmc` facilitates seamless data exchange between Python 2.x and 3.x environments.
*   **Modern Data Handling**: Unicode strings are now stored as UTF-8, potentially offering performance improvements and better compatibility.
*   **Ease of Installation**: The introduction of ManyLinux wheels significantly simplifies the installation process on compatible systems.

## Links

*   **GitHub Repository**: <a href="https://github.com/lericson/pylibmc" target="_blank" rel="noopener noreferrer">https://github.com/lericson/pylibmc</a>
*   **Official Documentation**: <a href="http://sendapatch.se/projects/pylibmc/" target="_blank" rel="noopener noreferrer">http://sendapatch.se/projects/pylibmc/</a>
*   **Maintainer Website**: <a href="http://sendapatch.se/" target="_blank" rel="noopener noreferrer">http://sendapatch.se/</a>