go-adaptive-radix-tree vs bitmap

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-adaptive-radix-tree

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

We haven't tracked posts mentioning go-adaptive-radix-tree yet.
Tracking mentions began in Dec 2020.

bitmap

Posts with mentions or reviews of bitmap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-30.

Example of Entity Component System in Go
2 projects | /r/golang | 30 Dec 2021

Good question, I think there's many different lessons. To your point about bitmasks, you can imagine that each component (i.e. column) has an array of data and a large bitmap that identifies whether a component is present or not. Had to build a SIMD implementation so you can do and, and not, or and xor operations on millions of components within reasonable amount of time. Interestingly enough, you still need a hashmap or b+tree in case you want to retrieve a component by it's ID instead of an index, but the rest of things can be modeled with bitmap indexes.

What are some alternatives?

When comparing go-adaptive-radix-tree and bitmap you can also consider the following projects:

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

fsm - Finite State Machine for Go

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

bitset - Go package implementing bitsets

bloom - Bloom filters implemented in Go.

null - Nullable Go types that can be marshalled/unmarshalled to/from JSON.

trie - Data structure and relevant algorithms for extremely fast prefix/fuzzy string searching.

levenshtein - Go implementation to calculate Levenshtein Distance.

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

merkletree - A Merkle Tree implementation written in Go.

willf/bloom - Go package implementing Bloom filters, used by Milvus and Beego.

go-adaptive-radix-tree vs golang-set bitmap vs fsm go-adaptive-radix-tree vs gota bitmap vs bitset go-adaptive-radix-tree vs bloom bitmap vs null go-adaptive-radix-tree vs bitset bitmap vs trie go-adaptive-radix-tree vs levenshtein bitmap vs hyperloglog go-adaptive-radix-tree vs merkletree bitmap vs willf/bloom

SaaSHub - Software Alternatives and Reviews

SaaSHub helps you find the best software and product alternatives

www.saashub.com

featured

Compare go-adaptive-radix-tree vs bitmap and see what are their differences.