igraph VS containers

Compare igraph vs containers and see what are their differences.

igraph

Incomplete Haskell bindings to the igraph library (which is written in C) (by giorgidze)
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igraph containers
- 11
7 312
- -0.3%
0.0 5.6
over 11 years ago 9 days ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" 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.

igraph

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

We haven't tracked posts mentioning igraph yet.
Tracking mentions began in Dec 2020.

containers

Posts with mentions or reviews of containers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-30.

What are some alternatives?

When comparing igraph and containers you can also consider the following projects:

nonempty-containers - Efficient non-empty variants of containers data types, with full API

singletons - Fake dependent types in Haskell using singletons

hevm - Dapp, Seth, Hevm, and more

EdisonAPI - Edison: A Library of Efficient Data Structures

vinyl - Extensible Records for Haskell. Pull requests welcome! Come visit us on #vinyl on freenode.

distributive - Dual Traversable

miso - :ramen: A tasty Haskell front-end framework

monadic-arrays - MArray instances for monad transformers

indexed-containers

ethereum-client-haskell

btree-concurrent - A backend agnostic, concurrent BTree written in Haskell

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Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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www.saashub.com
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