Learn Project VS Hashmaps

Compare Learn Project vs Hashmaps and see what are their differences.

Hashmaps

Various open addressing hashmap algorithms in C++ (by goossaert)
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Learn Project Hashmaps
- -
0 257
- -
0.0 0.0
over 4 years ago over 2 years ago
Java C++
- MIT 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.

Learn Project

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

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

Hashmaps

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

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

What are some alternatives?

When comparing Learn Project and Hashmaps you can also consider the following projects:

sparsehash - C++ associative containers

C++ B-tree - Git mirror of the official (mercurial) repository of cpp-btree

Hopscotch map - C++ implementation of a fast hash map and hash set using hopscotch hashing

sparsehash-c11 - Experimental C++11 version of sparsehash

stx-btree - OBSOLETE, contained in https://github.com/tlx/tlx - STX B+ Tree C++ Template Classes -

pybind11 - Seamless operability between C++11 and Python

LSHBOX - A c++ toolbox of locality-sensitive hashing (LSH), provides several popular LSH algorithms, also support python and matlab.

PEGTL - Parsing Expression Grammar Template Library

FunctionalPlus - Functional Programming Library for C++. Write concise and readable C++ code.