majority VS Adaptive

Compare majority vs Adaptive and see what are their differences.

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majority Adaptive
- -
- 10
- -
- 0.0
- over 11 years ago
Haskell
LicenseRef-PublicDomain 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.

majority

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

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

Adaptive

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

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

What are some alternatives?

When comparing majority and Adaptive you can also consider the following projects:

epanet-haskell - Call the EPANET toolkit via Haskell's Foreign Function Interface

twentyseven - Rubik's cube solver in Haskell

binary-search - Binary and exponential searches

ADPfusionSet - dynamic programming for set data structures

ADPfusion - Efficient, high-level dynamic programming

stable-marriage - library around stable marriage algorithms

aeson-diff - Generate and apply diffs between JSON documents.

TrieMap - Generalized tries for Haskell

arithmoi - Number theory: primes, arithmetic functions, modular computations, special sequences

graph-generators - A Haskell library for creating random Data.Graph instances using several pop

adp-multi - Prototype of ADP for MCFL (multiple context-free languages)

lca - Improves the known complexity of online lowest common ancestor search to O(log h) persistently, and without preprocessing