loom alternatives and similar packages
Based on the "Algorithms and Data structures" category.
Alternatively, view loom 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. -
aja
Extension of the Elixir standard library focused on data stuctures, data manipulation and performance -
remodel
:necktie: An Elixir presenter package used to transform map structures. "ActiveModel::Serializer for Elixir" -
MapDiff
Calculates the difference between two (nested) maps, and returns a map representing the patch of changes. -
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) -
exmatrix
Elixir library implementing a parallel matrix multiplication algorithm and other utilities for working with matrices. Used for benchmarking computationally intensive concurrent code. -
bitmap
Bitmap implementation in Elixir using binaries and integers. Fast space efficient data structure for lookups -
Closure Table
Closure Table for Elixir - a simple solution for storing and manipulating complex hierarchies.
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README
Loom
Loom is a set of basic CRDT's that are designed to be composable and extensible. We include support for delta-CRDT's (δ-CRDT's) where it makes sense.
δ-CRDT's
In order to combat issues with large objects, δ-CRDT's are supported for some datatypes. You can extract deltas from delta-CRDT's, and periodically clear them out from your datastructures to reduce memory constraints.
What the heck is a CRDT?
Conflict-free, Coordination-free, Commutative, or Convergent datatypes, CRDT's are usually formally described as "join semi-lattices". Mathematical jargon aside, CRDT's track causality for modifications to your data. Because of this, time becomes less relevant, and coordination becomes unnecessary to get accurate values for your data.
Can you give me an example of one?
I will have a simple explanation here for a basic gcounter and a pncounter.
For now, I can simply point you to the GCounter code in here.
Where can I learn more?
- Strong Eventual Consistency and Conflict-free Replicated Data Types
- A good introduction to the concept of CRDTs: http://research.microsoft.com/apps/video/default.aspx?id=153540&r=1
- A comprehensive study of Convergent and Commutative Replicated Data Types
- A survey with references for several popular CRDTs: http://hal.inria.fr/docs/00/55/55/88/PDF/techreport.pdf
- Efficient State-based CRDTs by Delta-Mutation
*Note that all licence references and agreements mentioned in the loom README section above
are relevant to that project's source code only.