edges: Tools for efficient immutable graphs

[ graphs, library, mit ] [ Propose Tags ]

A set of tools for constructing immutable graphs which are both memory and performance-efficient.

Downloads

Maintainer's Corner

Package maintainers

For package maintainers and hackage trustees

Candidates

  • No Candidates
Versions [RSS] 0.4, 0.4.0.1, 0.4.0.2, 0.4.1, 0.5, 0.6, 0.8, 0.8.1, 0.9, 0.9.0.1, 0.9.0.2, 0.9.1, 0.9.1.1, 0.10, 0.11, 0.11.0.1, 0.11.0.2, 0.11.0.3
Dependencies base (>=4.7 && <5), cereal (>=0.5.5 && <0.6), contravariant (>=1.4 && <2), deferred-folds (>=0.6 && <0.7), foldl (>=1.4.2 && <2), monad-par (>=0.3.4.8 && <0.4), pointed (>=5 && <6), potoki (>=2.0.2 && <2.1), potoki-cereal (>=0.3 && <0.4), primitive (>=0.6.4 && <0.7), primitive-extras (>=0.6.2 && <0.7), profunctors (>=5 && <6), QuickCheck (>=2.8.1 && <3), semigroupoids (>=5.2 && <6), text (>=1 && <2), vector (>=0.12 && <0.13) [details]
License MIT
Copyright (c) 2018, Metrix.AI
Author Nikita Volkov <nikita.y.volkov@mail.ru>
Maintainer Metrix Ninjas <ninjas@metrix.ai>
Category Graphs
Home page https://github.com/metrix-ai/edges
Bug tracker https://github.com/metrix-ai/edges/issues
Source repo head: git clone git://github.com/metrix-ai/edges.git
Uploaded by NikitaVolkov at 2018-08-01T19:39:00Z
Distributions
Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 8352 total (37 in the last 30 days)
Rating (no votes yet) [estimated by Bayesian average]
Your Rating
  • λ
  • λ
  • λ
Status Docs available [build log]
Last success reported on 2018-08-01 [all 1 reports]