hash4j VS HyperMinHash-java

Compare hash4j vs HyperMinHash-java and see what are their differences.

hash4j

Dynatrace hash library for Java (by dynatrace-oss)
Murmur3 hash-functions hashing-algorithm non-cryptographic-hash-functions Java Hash wyhash hash-algorithm komihash Stream Processing Hyperloglog cardinality-estimation data-sketches Minhash superminhash hll-algorithm simhash streaming-algorithms imohash jumphash
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HyperMinHash-java

Union, intersection, and set cardinality in loglog space (by LiveRamp)
Projects Data structures Cardinality cardinality-estimation Java Loglog Hyperloglog hyperloglog-sketches loglog-beta Minhash
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hash4j HyperMinHash-java
3 -
75 51
- -
9.2 1.7
10 days ago 11 months ago
Java Java
Apache License 2.0 GNU General Public License v3.0 or later
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.

hash4j

Posts with mentions or reviews of hash4j. We have used some of these posts to build our list of alternatives and similar projects.

HyperMinHash-java

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

We haven't tracked posts mentioning HyperMinHash-java yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing hash4j and HyperMinHash-java you can also consider the following projects:

sirix - SirixDB is an an embeddable, bitemporal, append-only database system and event store, storing immutable lightweight snapshots. It keeps the full history of each resource. Every commit stores a space-efficient snapshot through structural sharing. It is log-structured and never overwrites data. SirixDB uses a novel page-level versioning approach.

RoaringBitmap - A better compressed bitset in Java: used by Apache Spark, Netflix Atlas, Apache Pinot, Tablesaw, and many others

hash-checker - Fast and simple application that allows you to generate and compare hashes from files and text

wyHLL - The dream accurate approximate set cardinality estimator based on 3-bit HyperLogLog. More accurate than Redis HyperLogLog.

Zero-Allocation-Hashing - Zero-allocation hashing for Java

hashcode2021-even-more-pizza - HashCode 2021 practice question solution with 727,667,236 points. It is a clean and readable 4 hours solution written in Python.

hash4j vs sirix HyperMinHash-java vs RoaringBitmap hash4j vs hash-checker HyperMinHash-java vs wyHLL hash4j vs Zero-Allocation-Hashing hash4j vs hashcode2021-even-more-pizza