pylibmc
Python wrapper for libmemcached interface
- Status
- UnmaintainedNo commits in 551 days.
- Last checked
- Checked · Oct 10, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
Pylibmc is a Python library that provides an interface to the libmemcached C client, enabling efficient caching and data retrieval in Python applications.
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.
When it fits — and when it doesn’t
A good fit for
Developers building high-performance Python applications that require efficient caching mechanisms
Teams needing to distribute and manage cache across multiple memcached servers
Look elsewhere if
Projects requiring real-time data synchronization between caches
Applications with very low latency requirements where even minimal overhead is unacceptable
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited documentation and community support
The official documentation is sparse, and the community around pylibmc is relatively small compared to other caching libraries like Redis or Memcached.
- 02
Complex setup for advanced features
Setting up SASL authentication and configuring multiple memcached servers requires detailed configuration that may be challenging without comprehensive documentation.
- 03
Performance issues with large data sets
Pylibmc can experience performance degradation when handling very large datasets due to the overhead of interfacing between Python and C.
- 04
Frequent breaking changes between versions
Version updates often include significant API changes, requiring developers to frequently update their code to maintain compatibility.
What it does well
High-performance caching with libmemcached
Support for multiple memcached servers and failover
SASL authentication support
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up pylibmc
Setup steps, common gotchas and what to check after 30 days.
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