Mapping VS critbit

Compare Mapping vs critbit and see what are their differences.

critbit

A Haskell implementation of crit-bit trees. (by haskell)
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Mapping critbit
- -
0 137
- 0.0%
0.0 0.0
about 6 years ago about 2 years ago
Haskell Haskell
GNU Affero General Public License v3.0 only 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.

Mapping

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

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

critbit

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

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

What are some alternatives?

When comparing Mapping and critbit you can also consider the following projects:

reflection - Reifies arbitrary Haskell terms into types that can be reflected back into terms

size-based

MemoTrie - Trie-based memo functions

hebrew-time - Hebrew dates and prayer times.

dependent-map - Dependently-typed finite maps (partial dependent products)

algebraic-classes - Conversions between algebraic classes and F-algebras.

hashable - A class for types that can be converted to a hash value

semantic-source - Parsing, analyzing, and comparing source code across many languages

refined - Refinement types with static checking

llrbtree - Left-leaning red-black trees

code-builder - Packages for defining APIs, running them, generating client code and documentation.

massiv - Efficient Haskell Arrays featuring Parallel computation