psycopg

A Query Mapper for Python

A python library for maintaining pure sql migrations in postgresql databases.

An open source Discord bot that allows users to play mini-games on Discord servers and get awarded points. Not finished and a work-in-progress.

PostGIS geometry objects in python

How we cut our AWS Bedrock bill by 93%- replacing OpenSearch Serverless with Aurora x pgvector ($700/mo → $50/mo)

Psycopg3 and SQLAlchemy 2.0 tech demo

Type-safe raw SQL for Python: infer row types from SQL strings, rewrite them as SQL[T] and check them, without a database

Localization of The Psycopg 3 Documentation

Simple SQL migration command for Flask and Psycopg 3.

Plataforma de negociação financeira foi desenvolvida para intermediar dados sensíveis de servidores públicos e federais e privados celetistas, CRM específico para atender correspondente bancário, obtendo regra de negócio de microempresa para empresa de grande porte. 

Python client generator for pgenie: typed psycopg data layers, async and sync

First Solo Project using Python, Flask and PostgreSQL. It is a web application that allows users to input transactions linked to a date, merchant and category. These transactions can be saved, updated and deleted from the database. The User can also manipulate the transactions to see then based on criteria such as month, user, category and merch…

Launch an MLFlow server through Docker

A web app designed for a sports shop owner to view and update stock within their store by implementing CRUD functionality. App was built using Python with the Flask framework and, and utilising a PostgreSQL database.

Session-only resume builder for quickly creating one polished resume in a browser session, then keeping it by downloading PDF, DOCX, or TXT

Library to execute PostgreSQL migrations

Build, Test and Deploy AI Agents with Python and Docker

Basic server with Python, Flask and PostgreSQL with psycopg2 adapter. This repository is part of a self-taught supplemental course to help students develop skills.

Sistema web de ventas e inventario desarrollado por el Grupo 9 UAPA,con Python, Flask, PostgreSQL y Apache mediante tecnologías de código abierto.

Server-sent events straight from Postgres. LISTEN/NOTIFY wakes the stream, it re-reads from its cursor. No Redis, no broker. Starlette and FastAPI built in.