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Search results for golang hyperloglog
golang
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hyperloglog
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11 search results found
Bluge
⭐
1,496
indexing library for Go
Hyperloglog
⭐
892
HyperLogLog with lots of sugar (Sparse, LogLog-Beta bias correction and TailCut space reduction) brought to you by Axiom
Hyperloglog
⭐
380
HyperLogLog and HyperLogLog++ implementation in Go/Golang.
Hyperminhash
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276
HyperMinHash: Bringing intersections to HyperLogLog
Hyperbitbit
⭐
130
HyperBitBit
Sisyphus
⭐
76
Intelligent Junk Mail Handler
Zanredisdb
⭐
65
Yet another distributed kvstore support redis data and index. moved to: https://github.com/youzan/ZanRedisDB
Loglogbeta
⭐
58
LogLog based Cardinality Estimator
Hllpp
⭐
56
HyperLogLog cardinality estimation algorithm in go/golang!
Hll
⭐
41
HyperLogLog++ for Go
Pcsa
⭐
38
S Bitmap
⭐
32
S-Bitmap: Distinct Counting with a Self-Learning Bitmap
Sllb
⭐
32
Sliding-LogLog-Beta
Vhll
⭐
31
Hyper-Compact Virtual Estimators for Big Network Data Based on Register Sharing
Go Hll
⭐
31
Go implementation of HLL that plays nicely with other languages
Counterd
⭐
30
A lightweight daemon for counting unique events using Redis and PostgreSQL
Gopie
⭐
28
go patterns
Hyperloglog
⭐
24
hyperloglog counts things using the HyperLogLog algorithm to estimate cardinality
Go Hll
⭐
22
HyperLogLog in golang
Go Hlld
⭐
21
Golang client for HyperLogLog daemon (hlld)
Go Kmv
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20
Adaptive version of KMV algorithm for cardinality estimation
Visigo
⭐
17
Unique site visits counter in Go
Carrier
⭐
15
Redis Cluster Proxy for Redis 3.0
Goestimators
⭐
8
Fast Cardinality Estimation algorithms for Go: HyperLogLog/SuperLogLog/LogLog, Bloom
Gohll
⭐
8
A simple implementation of HyperLogLog in plain go for 32-bit hash functions.
Vhc
⭐
7
Virtual HyperLogLog Counter: Highly Compact Virtual Counters for Per-Flow Traffic Measurement through Register Sharing
Gostatix
⭐
6
Thread-safe and persistent Golang implementations of probabilistic data structures: Bloom Filter, Cuckoo Filter, HyperLogLog, Count-Min Sketch and Top-K
Go Hll
⭐
6
Go implementation of Hyper Log Log
Nazare
⭐
5
when you have to approximately count a lot of things...
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