willf/bloom VS mafsa

Compare willf/bloom vs mafsa and see what are their differences.

willf/bloom

Go package implementing Bloom filters, used by Milvus and Beego. (by willf)

mafsa

By smartystreets-archives
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willf/bloom mafsa
2 -
2,431 283
0.9% -
3.3 0.0
2 months ago -
Go Go
BSD 2-clause "Simplified" 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.

willf/bloom

Posts with mentions or reviews of willf/bloom. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-17.

mafsa

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

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

What are some alternatives?

When comparing willf/bloom and mafsa you can also consider the following projects:

levenshtein - Go implementation to calculate Levenshtein Distance.

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

go-adaptive-radix-tree - Adaptive Radix Trees implemented in Go

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

bit - Bitset data structure

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

bloom - Bloom filters implemented in Go.

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

hilbert - Go package for mapping values to and from space-filling curves, such as Hilbert and Peano curves.

boomfilters - Probabilistic data structures for processing continuous, unbounded streams.

merkletree - A Merkle Tree implementation written in Go.

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