hashmap VS haxmap

Compare hashmap vs haxmap and see what are their differences.

hashmap

A Golang lock-free thread-safe HashMap optimized for fastest read access. (by cornelk)

haxmap

Fastest and most memory efficient golang concurrent hashmap (by alphadose)
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hashmap haxmap
8 7
1,712 831
- -
2.9 3.3
8 months ago about 1 month ago
Go Go
Apache License 2.0 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.

hashmap

Posts with mentions or reviews of hashmap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-01.

haxmap

Posts with mentions or reviews of haxmap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-28.

What are some alternatives?

When comparing hashmap and haxmap you can also consider the following projects:

go-left-right - A faster RWLock primitive in Go, 2-3 times faster than RWMutex. A Go implementation of concurrency control algorithm in paper <Left-Right - A Concurrency Control Technique with Wait-Free Population Oblivious Reads>

sonic - A blazingly fast JSON serializing & deserializing library

goqueue - Flexible Queue System for Go

jqr

go-blocking-dequeue - Thread safe, blocking, generic dequeue data structure for Go

xxHash - Pure Go implementation of xxHash (32 and 64 bits versions)

pq - Like jq, but with Python

ZenQ - A thread-safe queue faster and more resource efficient than golang's native channels

go - The Go programming language

go-evmap - A Go implementation of Rust's evmap which optimizes for high-read, low-write workloads and uses eventual consistency to ensure that readers and writers never block each other.