iter VS willf/bloom

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

iter

Go implementation of C++ STL iterators and algorithms. (by disksing)

willf/bloom

Go package implementing Bloom filters, used by Milvus and Beego. (by willf)
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iter willf/bloom
- 2
186 2,287
- 1.0%
0.0 4.8
about 2 years ago about 2 months ago
Go Go
BSD 3-clause "New" or "Revised" 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.

iter

Posts with mentions or reviews of iter. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning iter 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.

What are some alternatives?

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

fsm - Finite State Machine for Go

levenshtein - Go implementation to calculate Levenshtein Distance.

gota - Gota: DataFrames and data wrangling in Go (Golang)

bit - Bitset data structure

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

ttlcache - An in-memory cache with item expiration and generics [Moved to: https://github.com/jellydator/ttlcache]

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

gods - GoDS (Go Data Structures) - Sets, Lists, Stacks, Maps, Trees, Queues, and much more

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

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

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