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Tracking mentions began in Dec 2020.
aiopg vs asyncpg vs psycopg3
3 projects | reddit.com/r/learnpython | 28 Jun 2022
asyncpg: 5.5k starts, last commit recently, ~150 issues, some incompatibility, few open PRs, extensive README. Includes benchmark showing it's supposedly 3x faster than aiopg and psycopg2, psycopg3 is not mentioned in the benchmark.
3 projects | reddit.com/r/Python | 12 Apr 2022
Quart-DB uses asyncpg to manage the connections and buildpg to parse the named parameter bindings.
Cascade of doom: JIT, and how a Postgres update led to 70% failure on a critical national service
7 projects | dev.to | 13 Nov 2021
Simple query runs long when DB schema contains thousands of tables #186
Large database to python - SQL advantageous? (mysql)
2 projects | reddit.com/r/Python | 4 Oct 2021
Highly recommend https://github.com/MagicStack/asyncpg.
Postgrey - Simple, Fast & Async Library for PostgreSQL
2 projects | dev.to | 29 Jun 2021
🐘 Simple, Fast, Async & ORM PostgreSQL database client based on Asyncpg for Python.
New major versions of Flask, Jinja, Click, and Werkzeug released!
9 projects | reddit.com/r/Python | 11 May 2021
What we get with the async part of this release - If you would like to run an async library or your own async code from a flask route you can do that now. This is super useful, where let's say we have some async code that fetches data from many sources concurrently, or call multiple a few ML prediction endpoints at the same time (as long as they don't time out) using httpx and respond with some sort of outcome, or finally try that cool new async-only database library. A current (v2) limitation is that the you can't make concurrent requests using just the current asyncio implementation (an alternative with Flask API and ASGI: Quart). Typically in production gunicorn or uwsgi + threads/processes/gevent-eventlet is used and this makes Flask behave asynchronously. More here and here if interested.
Migrating to SQLAlchemy 2.0
3 projects | news.ycombinator.com | 18 Feb 2021
Agreed. I will never recommend an ORM, things simply spiraled out of control for medium to large-ish projects that had more than 2 developers. Even with "best practices", code ended up having a mix of raw SQL and ORM-style queries, and it was hard to reason about the code.
Since switching to asyncpg  these problems have vanished. It commands a deeper knowledge of actual SQL, but I would argue this knowledge is absolutely necessary and one of the disadvantages of an ORM is that it makes the SQL that is eventually run opaque.
Not sure if there are equivalents to asyncpg for other RDBMS's.
Piccolo, an async query builder and ORM for Python
4 projects | dev.to | 10 Jan 2021
Asyncio makes a lot of sense when you want high throughput applications. Piccolo is built on top of asyncio and a fast database adapter called asyncpg. You can also use Piccolo within a traditional synchronous app too.
What are some alternatives?
psycopg2 - PostgreSQL database adapter for the Python programming language
pymssql - Official home for the pymssql source code.
aiopg - aiopg is a library for accessing a PostgreSQL database from the asyncio
awesome-mysql - A curated list of awesome MySQL software, libraries, tools and resources
mysql-python - MySQLdb is a Python DB API-2.0 compliant library to interact with MySQL 3.23-5.1 (unofficial mirror)
PyMySQL - Pure Python MySQL Client
pgbouncer - lightweight connection pooler for PostgreSQL
PyPika - PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.
queries - PostgreSQL database access simplified
motor - Motor - the async Python driver for MongoDB and Tornado or asyncio
PyMongo - MongoDB Ecosystem Documentation
mysqlclient - MySQL database connector for Python (with Python 3 support)