go-datastructures VS trie

Compare go-datastructures vs trie and see what are their differences.

go-datastructures

A collection of useful, performant, and threadsafe Go datastructures. (by Workiva)

trie

Data structure and relevant algorithms for extremely fast prefix/fuzzy string searching. (by derekparker)
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go-datastructures trie
2 -
7,331 724
0.7% -
7.3 4.2
4 days ago 7 months 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.

go-datastructures

Posts with mentions or reviews of go-datastructures. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-31.

trie

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

We haven't tracked posts mentioning trie yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing go-datastructures and trie you can also consider the following projects:

gods - GoDS (Go Data Structures) - Sets, Lists, Stacks, Maps, Trees, Queues, and much more

treap - golang persistent immutable treap sorted sets

gota - Gota: DataFrames and data wrangling in Go (Golang)

golang-set - A simple, battle-tested and generic set type for the Go language. Trusted by Docker, 1Password, Ethereum and Hashicorp.

skiplist - skiplist for golang

mafsa

bloom - Bloom filters implemented in Go.

cuckoofilter - Cuckoo Filter: Practically Better Than Bloom

algorithms - CLRS study. Codes are written with golang.

hyperloglog - HyperLogLog with lots of sugar (Sparse, LogLog-Beta bias correction and TailCut space reduction) brought to you by Axiom