sparsehash alternatives and similar libraries

Based on the "Containers" category.
Alternatively, view sparsehash alternatives based on common mentions on social networks and blogs.

• pybind11

  9.3 9.4 sparsehash VS pybind11

  Seamless operability between C++11 and Python
  

• PEGTL

  6.3 9.1 sparsehash VS PEGTL

  Parsing Expression Grammar Template Library
  

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• FunctionalPlus

  6.2 8.0 L4 sparsehash VS FunctionalPlus

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

• sparsepp

  5.7 1.5 sparsehash VS sparsepp

  A fast, memory efficient hash map for C++

• Hopscotch map

  4.2 0.3 L4 sparsehash VS Hopscotch map

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

• LSHBOX

  3.7 0.0 L2 sparsehash VS LSHBOX

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

• function2

  3.6 3.2 sparsehash VS function2

  Improved and configurable drop-in replacement to std::function that supports move only types, multiple overloads and more

• Hashmaps

  3.5 0.0 L1 sparsehash VS Hashmaps

  Various open addressing hashmap algorithms in C++

• sparsehash-c11

  3.4 0.0 L3 sparsehash VS sparsehash-c11

  Experimental C++11 version of sparsehash
  

• stx-btree

  3.2 0.0 sparsehash VS stx-btree

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

• semver

  2.6 5.5 sparsehash VS semver

  Semantic Versioning for modern C++

• C++ B-tree

  2.1 0.0 sparsehash VS C++ B-tree

  Git mirror of the official (mercurial) repository of cpp-btree
  

• dynamic_bitset

  2.1 5.6 sparsehash VS dynamic_bitset

  Simple Useful Libraries: C++17/20 header-only dynamic bitset

• flat_map

  1.2 8.9 sparsehash VS flat_map

  Header only associative linear container.

• Optional Argument in C++

  1.1 0.0 sparsehash VS Optional Argument in C++

  Named Optional Arguments in C++17

• Learn Project

  1.0 0.0 sparsehash VS Learn Project

  go study

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.

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Popular Comparisons

• sparsehash
  vs
  pybind11
• sparsehash
  vs
  sparsehash-c11
• sparsehash
  vs
  LSHBOX
• sparsehash
  vs
  stx-btree
• sparsehash
  vs
  Hashmaps

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