go-hashlru VS Distributed-Cache-System

Compare go-hashlru vs Distributed-Cache-System and see what are their differences.

go-hashlru

A simple thread-safe and fixed size LRU. Based on the Hashlru Algorithm :arrows_clockwise: (by saurabh0719)
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go-hashlru Distributed-Cache-System
2 3
72 9
- -
1.2 7.8
about 1 year ago 9 months ago
Go Go
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

go-hashlru

Posts with mentions or reviews of go-hashlru. We have used some of these posts to build our list of alternatives and similar projects.

Distributed-Cache-System

Posts with mentions or reviews of Distributed-Cache-System. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing go-hashlru and Distributed-Cache-System you can also consider the following projects:

cache - Mango Cache 🥭 - Partial implementation of Guava Cache in Go (golang).

Olric - Distributed in-memory object store. It can be used as an embedded Go library and a language-independent service.

Dkron - Dkron - Distributed, fault tolerant job scheduling system https://dkron.io

doublejump - A revamped Google's jump consistent hash

holster - A place to keep useful golang functions and small libraries

consistent - Consistent hashing with bounded loads in Golang