SQL databases in Python, designed for simplicity, compatibility, and robustness.
- python
- sql
- sqlalchemy
- pydantic
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SQL databases in Python, designed for simplicity, compatibility, and robustness.
Gel supercharges Postgres with a modern data model, graph queries, Auth & AI solutions, and much more.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
A pythonic interface to Amazon's DynamoDB
Converting Can (Controller Area Network) Database Formats .arxml .dbc .dbf .kcd ...
An Object Graph Mapper (OGM) for the Neo4j graph database.
pickleDB is an in memory key-value store using Python's orjson module for persistence. It can also use SQLite instead of orjson if needed.
A MySQL Workbench plugin which exports a Model to Laravel 5 Migrations
Schema and generated objects for biolink data model and upper ontology
Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects.
Persistent decision memory for AI agents: rationale, rejected approaches, and entity history. Connect any compatible agent through local MCP or the CLI.
High-fidelity transcript memory for Claude Code — index every session, recall byte-identical, search, prune, compose. Local-first, stdlib-only, MCP.
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
Database version migration module for use in the Play! framework