bitmap VS willf/bloom

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

bitmap

Simple dense bitmap index in Go with binary operators (by kelindar)

willf/bloom

Go package implementing Bloom filters, used by Milvus and Beego. (by willf)
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bitmap willf/bloom
1 2
276 2,283
- 3.0%
4.3 4.8
6 months ago about 1 month ago
Assembly Go
MIT License 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.

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.

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.

What are some alternatives?

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

fsm - Finite State Machine for Go

levenshtein - Go implementation to calculate Levenshtein Distance.

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

bit - Bitset data structure

bitset - Go package implementing bitsets

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

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

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

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

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

mafsa