moka
cacheme
| moka | cacheme | |
|---|---|---|
| 4 | 2 | |
| 1,345 | 41 | |
| 3.0% | - | |
| 9.3 | 3.6 | |
| 13 days ago | 11 months ago | |
| Rust | Python | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
moka
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Python deserves a good in-memory cache library!
If you know Caffeine(Java)/Ristretto(Go)/Moka(Rust), you know what Theine is. Python deserves a good in-memory cache library.
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caching, asynchronous, request deduplication - deduplicate 0.3.1
Thanks for the feedback. I am aware of Moka. We used it on a work project but stopped because we had a couple of issues with it. The main one was: https://github.com/moka-rs/moka/issues/154 which I think is fixed now and a smaller issue which was caused by the Quanta crate crashing on AMD chips (also fixed).
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Writing a concurrent LRU cache
Ya, I saw concache but I looked into it and it doesn't implement what is needed. Each bucket has its own linked-list backing (hence "lock-free linked list buckets"). An LRU needs each value in each bucket to be part of one linked list I believe. After posting this I realized my line of research was failing because it was state of the art five years ago. Caffeine replaced `concurrentlinkedhashmap` in the java world (by the same author). A rust version of that is Moka. These are much more complicated than a concurrent LRU but faster (aka more state of the art). Another rust crate is Stretto which is a port of dgraph's Ristretto (in go). The question becomes is it worth it to essentially port `concurrentlinkedhashmap` to have a great concurrent LRU when there are more state of the art caches out there.
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Stretto - a thread-safe, high-performance, high hit-ratio cache.
How does it compare to https://github.com/moka-rs/moka ?
cacheme
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Python deserves a good in-memory cache library!
Also if you are looking for a good cache framework, maybe Cacheme can help you.
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Cacheme: Asyncio cache framework with multiple storages and thundering herd protection
See https://github.com/Yiling-J/cacheme
What are some alternatives?
stretto - Stretto is a Rust implementation for Dgraph's ristretto (https://github.com/dgraph-io/ristretto). A high performance memory-bound Rust cache.
cachetools - Extensible memoizing collections and decorators
ristretto - A high performance memory-bound Go cache
memoize - Caching library for asynchronous Python applications.
dashmap - Blazing fast concurrent HashMap for Rust.
theine - high performance in-memory cache
rust-memcache - memcache client for rust
chatgpt-memory - Allows to scale the ChatGPT API to multiple simultaneous sessions with infinite contextual and adaptive memory powered by GPT and Redis datastore.
Stretto - Beautiful web-based music player
gocache - ☔️ A complete Go cache library that brings you multiple ways of managing your caches
concurrentlinkedhashmap - A ConcurrentLinkedHashMap for Java
Caffeine - A high performance caching library for Java