ring VS trie

Compare ring vs trie and see what are their differences.

ring

Package ring provides a high performance and thread safe Go implementation of a bloom filter. (by tannerryan)

trie

Data structure and relevant algorithms for extremely fast prefix/fuzzy string searching. (by derekparker)
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ring trie
- -
137 726
- -
0.0 4.2
over 3 years ago 7 months ago
Go Go
BSD 2-clause "Simplified" License 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.

ring

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

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

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 ring and trie you can also consider the following projects:

go-geoindex - Go native library for fast point tracking and K-Nearest queries

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.

bitset - Go package implementing bitsets

skiplist - skiplist for golang

roaring - Roaring bitmaps in Go (golang), used by InfluxDB, Bleve, DataDog

bloom - Bloom filters implemented in Go.

fsm - Finite State Machine for Go

go-datastructures - A collection of useful, performant, and threadsafe Go datastructures.

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