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Consistent hashing in C#. Each call to GetNode() costs only 1 or 2 macro-seconds. It may be the fastest consistent hashing in C#. This is a serious implementation that can work with over 10000 back-end servers, while many others cannot support more than 100 back-end servers for performance reason.
pyhash is a python non-cryptographic hash library. It provide several common hash algorithms with C/C++ implementation for performance. pyhash support the following hash algorithms FNV (Fowler-Noll-Vo) hash, MurmurHash 1/2/3, lookup3, SuperFastHash.
The Google Guava Libraries are a nice set of Java utility classes that will probably come in handy in any project. It provides immutable collections, string manipulation, handling primitives ,easier I/O, concurrency etc. it absolutely follows the Collections API requirements. It has support for murmur hash.
Rabbit and lot more cryptographic algorithms.
Koloboke aims to replace the standard Java collections and streams with more efficient implementations. The current version of Koloboke focuses on replacing java.util.HashSet and java.util.HashMap. It provides a complete set of primitive type implementations for each collection. Its able to avoid the expensive boxing/unboxing of primitives and saves memory for boxed primitive objects. It is the fastest and the most memory efficient library implementing hash maps and sets.
Hypertable is based on Google's Bigtable Design, which is a proven scalable design that powers hundreds of Google services. Many of the current scalable NoSQL database offerings are based on a hash table design which means that the data they manage is not kept physically ordered. Hypertable keeps data physically sorted by a primary key and it is well suited for Analytics.
The Google Collections Library 1.0 is a set of new collection types, implementations and related goodness for Java 5 and higher, brought to you by Google. It is a natural extension of the Java Collections Framework.