bloomex alternatives and similar packages
Based on the "Algorithms and Data structures" category.
Alternatively, view bloomex alternatives based on common mentions on social networks and blogs.
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exconstructor
An Elixir library for generating struct constructors that handle external data with ease. -
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aja
Extension of the Elixir standard library focused on data stuctures, data manipulation and performance -
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remodel
:necktie: An Elixir presenter package used to transform map structures. "ActiveModel::Serializer for Elixir" -
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MapDiff
Calculates the difference between two (nested) maps, and returns a map representing the patch of changes. -
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the_fuzz
String metrics and phonetic algorithms for Elixir (e.g. Dice/Sorensen, Hamming, Jaccard, Jaro, Jaro-Winkler, Levenshtein, Metaphone, N-Gram, NYSIIS, Overlap, Ratcliff/Obershelp, Refined NYSIIS, Refined Soundex, Soundex, Weighted Levenshtein) -
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exmatrix
Elixir library implementing a parallel matrix multiplication algorithm and other utilities for working with matrices. Used for benchmarking computationally intensive concurrent code. -
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Closure Table
Closure Table for Elixir - a simple solution for storing and manipulating complex hierarchies. -
bitmap
Bitmap implementation in Elixir using binaries and integers. Fast space efficient data structure for lookups -
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InfluxDB high-performance time series database
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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README
Bloomex
Bloomex is a pure Elixir implementation of Scalable Bloom Filters.
Usage
Add Bloomex as a dependency in your mix.exs file.
def deps do
[{:bloomex, "~> 1.0"}]
end
When you are done, run mix deps.get in your shell to fetch and compile Bloomex.
Examples
iex> bf = Bloomex.scalable(1000, 0.1, 0.1, 2)
%Bloomex.ScalableBloom...
iex> bf = Bloomex.add(bf, 5)
%Bloomex.ScalableBloom...
iex> Bloomex.member?(bf, 5)
true
iex> bf = Bloomex.add(bf, 100)
%Bloomex.ScalableBloom...
iex> Bloomex.member?(bf, 100)
true
iex> Bloomex.member?(bf, 105)
false
You can also pass in a hashing function to be used by the Bloom filter when creating one.
(assuming we have Murmur installed as a dependency)
iex> bf = Bloomex.scalable(1000, 0.1, 0.1, 2, &Murmur.hash_x86_128/1))
%Bloomex.ScalableBloom...
iex> bf = Bloomex.add(bf, 5)
%Bloomex.ScalableBloom...
iex> Bloomex.member?(bf, 5)
true
iex> bf = Bloomex.add(bf, 100)
%Bloomex.ScalableBloom...
iex> Bloomex.member?(bf, 100)
true
*Note that all licence references and agreements mentioned in the bloomex README section above
are relevant to that project's source code only.