bitset alternatives and similar packages
Based on the "Data Structures" category.
Alternatively, view bitset alternatives based on common mentions on social networks and blogs.
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gods
GoDS (Go Data Structures) - Sets, Lists, Stacks, Maps, Trees, Queues, and much more -
go-datastructures
A collection of useful, performant, and threadsafe Go datastructures. -
golang-set
A simple, battle-tested and generic set type for the Go language. Trusted by Docker, 1Password, Ethereum and Hashicorp. -
willf/bloom
Go package implementing Bloom filters, used by Milvus and Beego. -
gocache
☔️ A complete Go cache library that brings you multiple ways of managing your caches -
boomfilters
Probabilistic data structures for processing continuous, unbounded streams. -
gostl
Data structure and algorithm library for go, designed to provide functions similar to C++ STL -
hyperloglog
HyperLogLog with lots of sugar (Sparse, LogLog-Beta bias correction and TailCut space reduction) brought to you by Axiom -
trie
Data structure and relevant algorithms for extremely fast prefix/fuzzy string searching. -
ttlcache
An in-memory cache with item expiration and generics [Moved to: https://github.com/jellydator/ttlcache] -
go-geoindex
Go native library for fast point tracking and K-Nearest queries -
go-adaptive-radix-tree
Adaptive Radix Trees implemented in Go -
goconcurrentqueue
Go concurrent-safe, goroutine-safe, thread-safe queue -
Bloomfilter
Face-meltingly fast, thread-safe, marshalable, unionable, probability- and optimal-size-calculating Bloom filter in go -
hilbert
Go package for mapping values to and from space-filling curves, such as Hilbert and Peano curves. -
cuckoo-filter
Cuckoo Filter go implement, better than Bloom Filter, configurable and space optimized 布谷鸟过滤器的Go实现,优于布隆过滤器,可以定制化过滤器参数,并进行了空间优化 -
ring
Package ring provides a high performance and thread safe Go implementation of a bloom filter. -
go-rquad
:pushpin: State of the art point location and neighbour finding algorithms for region quadtrees, in Go -
set
A simple Set data structure implementation in Go (Golang) using LinkedHashMap. -
nan
Zero allocation Nullable structures in one library with handy conversion functions, marshallers and unmarshallers -
goset
Set is a useful collection but there is no built-in implementation in Go lang. -
hide
ID type with marshalling to/from hash to prevent sending IDs to clients.
InfluxDB - Power Real-Time Data Analytics at Scale
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README
bitset
Go language library to map between non-negative integers and boolean values
Description
Package bitset implements bitsets, a mapping between non-negative integers and boolean values. It should be more efficient than map[uint] bool.
It provides methods for setting, clearing, flipping, and testing individual integers.
But it also provides set intersection, union, difference, complement, and symmetric operations, as well as tests to check whether any, all, or no bits are set, and querying a bitset's current length and number of positive bits.
BitSets are expanded to the size of the largest set bit; the memory allocation is approximately Max bits, where Max is the largest set bit. BitSets are never shrunk. On creation, a hint can be given for the number of bits that will be used.
Many of the methods, including Set, Clear, and Flip, return a BitSet pointer, which allows for chaining.
Example use:
package main
import (
"fmt"
"math/rand"
"github.com/bits-and-blooms/bitset"
)
func main() {
fmt.Printf("Hello from BitSet!\n")
var b bitset.BitSet
// play some Go Fish
for i := 0; i < 100; i++ {
card1 := uint(rand.Intn(52))
card2 := uint(rand.Intn(52))
b.Set(card1)
if b.Test(card2) {
fmt.Println("Go Fish!")
}
b.Clear(card1)
}
// Chaining
b.Set(10).Set(11)
for i, e := b.NextSet(0); e; i, e = b.NextSet(i + 1) {
fmt.Println("The following bit is set:", i)
}
if b.Intersection(bitset.New(100).Set(10)).Count() == 1 {
fmt.Println("Intersection works.")
} else {
fmt.Println("Intersection doesn't work???")
}
}
As an alternative to BitSets, one should check out the 'big' package, which provides a (less set-theoretical) view of bitsets.
Package documentation is at: https://pkg.go.dev/github.com/bits-and-blooms/bitset?tab=doc
Memory Usage
The memory usage of a bitset using N bits is at least N/8 bytes. The number of bits in a bitset is at least as large as one plus the greatest bit index you have accessed. Thus it is possible to run out of memory while using a bitset. If you have lots of bits, you might prefer compressed bitsets, like the Roaring bitmaps and its Go implementation.
Implementation Note
Go 1.9 introduced a native math/bits
library. We provide backward compatibility to Go 1.7, which might be removed.
It is possible that a later version will match the math/bits
return signature for counts (which is int
, rather than our library's unit64
). If so, the version will be bumped.
Installation
go get github.com/bits-and-blooms/bitset
Contributing
If you wish to contribute to this project, please branch and issue a pull request against master ("GitHub Flow")
Running all tests
Before committing the code, please check if it passes tests, has adequate coverage, etc.
go test
go test -cover