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)
bitmap | willf/bloom | |
---|---|---|
1 | 2 | |
306 | 2,416 | |
- | 1.3% | |
4.3 | 3.3 | |
11 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.
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.
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Example of Entity Component System in Go
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.
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willf/bloom VS bloom_cpp - a user suggested alternative
2 projects | 17 Mar 2023
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There are 87 bloom filter crates. Strategies for choosing one?
I also have a lot of sympathy for the casual user that has a bloom-filter-shaped hole in their program that all of these filters will fill, and having reduced this part of their task to a well-known solved problem, just want to plug in a random thing & move on, with the possibility of revisiting the selection later if bloomfiltering shows up in the profiler.
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
bitset - Go package implementing bitsets
bit - Bitset data structure
null - Nullable Go types that can be marshalled/unmarshalled to/from JSON.
bloom - Bloom filters implemented in Go.
trie - Data structure and relevant algorithms for extremely fast prefix/fuzzy string searching.
hilbert - Go package for mapping values to and from space-filling curves, such as Hilbert and Peano curves.
hyperloglog - HyperLogLog with lots of sugar (Sparse, LogLog-Beta bias correction and TailCut space reduction) brought to you by Axiom
mafsa