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1–19 of 19 · Most stars

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

  • c-plus-plus
  • python
  • nearest-neighbor-search
  • locality-sensitive-hashing

Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.

Native port of Redis for Windows. Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs. This repository contains unofficial port of Redis to Windows.

  • redis
  • redis-windows
  • redis-windows-native
  • redis-windows-installer

Easily and efficiently make your ActiveRecord models support hierarchies

  • closure-tree
  • ruby
  • nested-hashes
  • tree-structure

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.

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

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes

Model Query Language (mql) is a query language for your database models.

A Crystal shard to generate YouTube-like hashes from one or many numbers. Use hashids when you do not want to expose your database ids to the user.

  • hashids
  • salt
  • decoding
  • encoding

Extract hashes from the MongoDB database server to a hash format that hashcat accepts: -m 24100 (SCRAM-SHA-1) or -m 24200 (SCRAM-SHA-256)