remember-go
Cache Slow Database Queries (by rocketlaunchr)
willf/bloom
Go package implementing Bloom filters, used by Milvus and Beego. (by willf)
| remember-go | willf/bloom | |
|---|---|---|
| - | 2 | |
| 137 | 2,287 | |
| 0.0% | 0.9% | |
| 0.0 | 4.8 | |
| about 3 years ago | about 2 months ago | |
| Go | Go | |
| GNU General Public License v3.0 or later | 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.
remember-go
Posts with mentions or reviews of remember-go.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning remember-go yet.
Tracking mentions began in Dec 2020.
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 remember-go and willf/bloom you can also consider the following projects:
gota - Gota: DataFrames and data wrangling in Go (Golang)
levenshtein - Go implementation to calculate Levenshtein Distance.
gods - GoDS (Go Data Structures) - Sets, Lists, Stacks, Maps, Trees, Queues, and much more
bit - Bitset data structure
go-geoindex - Go native library for fast point tracking and K-Nearest queries
go-adaptive-radix-tree - Adaptive Radix Trees implemented in Go
go-datastructures - A collection of useful, performant, and threadsafe Go datastructures.
boomfilters - Probabilistic data structures for processing continuous, unbounded streams.
roaring - Roaring bitmaps in Go (golang), used by InfluxDB, Bleve, DataDog
mafsa
remember-go vs gota
willf/bloom vs levenshtein
remember-go vs gods
willf/bloom vs bit
remember-go vs go-geoindex
willf/bloom vs go-adaptive-radix-tree
remember-go vs go-datastructures
willf/bloom vs boomfilters
remember-go vs roaring
willf/bloom vs go-geoindex
remember-go vs boomfilters
willf/bloom vs mafsa