Best in-memory cache library for python?
Hi Emma,
It depends on your specific use case, such as the complexity of your application, the need for distributed caching, and performance requirements.
- For simple use cases or when you want to avoid external dependencies, start with
functools.lru_cache
. - For advanced in-memory caching with more control,
cachetools
is a good choice. - For distributed caching across multiple servers or high scalability, use
redis-py
. - For asynchronous applications,
aiocache
is a good option.