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25–48 of 124 · Most stars

MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry.

  • amazon-web-services
  • database
  • fulltext-search
  • json

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

The first developer-oriented translation tool. True asynchronous flow between translators and your team.

  • elixir
  • elixir-phoenix
  • absinthe
  • emberjs

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

  • approximate-nearest-neighbor-search
  • k-nearest-neighbors
  • knn-search
  • nearest-neighbors

Converting Can (Controller Area Network) Database Formats .arxml .dbc .dbf .kcd ...

  • canbus
  • python
  • dbc
  • arxml

MySQL Connector/Python is implementing the MySQL Client/Server protocol completely in Python. No MySQL libraries are needed, and no compilation is necessary to run this Python DB API v2.0 compliant driver. Documentation & Download: http://dev.mysql.com/doc/connector-python/en

Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.

A fast, multi-threaded Redis® and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in

  • database
  • drop-in-replacement
  • in-memory
  • kividb