pylibmc

Python wrapper for libmemcached interface

DecliningOpen SourceLow lock-in

Pricing

Free tier

Flat rate

Adoption

Cooling

License

Open Source

Data freshness

Aging · Jun 8, 2026

Overview

What is pylibmc?

Pylibmc is a Python library that provides an interface to the libmemcached C client, enabling efficient caching and data retrieval in Python applications.

Key differentiator

Pylibmc stands out as a Python-specific wrapper for libmemcached, offering high performance and flexibility in caching solutions without the need to manage C client complexities directly.

Capability profile

Capability Radar

Ease of StartEcosystemValueMaturityFlexibilityScale Ready

Honest assessment

Strengths & Weaknesses

↑ Strengths

High-performance caching with libmemcachedmedium

Support for multiple memcached servers and failovermedium

SASL authentication supportmedium

↓ Weaknesses

Limited documentation and community supporthigh

The official documentation is sparse, and the community around pylibmc is relatively small compared to other caching libraries like Redis or Memcached.

Complex setup for advanced featuresmedium

Setting up SASL authentication and configuring multiple memcached servers requires detailed configuration that may be challenging without comprehensive documentation.

Performance issues with large data setshigh

Pylibmc can experience performance degradation when handling very large datasets due to the overhead of interfacing between Python and C.

Frequent breaking changes between versionsmedium

Version updates often include significant API changes, requiring developers to frequently update their code to maintain compatibility.

Fit analysis

Who is it for?

✓ Best for

Developers building high-performance Python applications that require efficient caching mechanisms

Teams needing to distribute and manage cache across multiple memcached servers

✕ Not a fit for

Projects requiring real-time data synchronization between caches

Applications with very low latency requirements where even minimal overhead is unacceptable

Cost structure

Pricing

Free Tier

Available

Open source — free to use

Starts at

$0

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Next step

Get Started with pylibmc

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →