# Simon Willison 发布了 alchemy-utils 0.1a0，一个基于 SQLAlchemy 的多数据库 Python 库，支持 PostgreSQL、SQLite 和 DuckDB，通过 AI 辅助快速构建原型

- 来源：Simon Willison
- 发布时间：2026-08-13 03:51
- AIWatch 分数：60
- AIWatch 标记：未精选
- AIWatch 链接：https://aiwatch.icu/events/evt_01kzwht9y7p8jag3wc648qn1a8
- 原文链接：https://simonwillison.net/2026/Aug/12/alchemy-utils/

## 精选理由

常规快讯，保留列表

## AI 摘要

Simon Willison 发布了 alchemy-utils 0.1a0，一个基于 SQLAlchemy 的多数据库 Python 库，支持 PostgreSQL、SQLite 和 DuckDB，通过 AI 辅助快速构建原型。

## 正文

Release: alchemy-utils 0.1a0

I've long pondered what a database agnostic version of my sqlite-utils Python library and CLI utility might look like. This morning (literally a shower project) I tasked Codex and GPT-5.6 Sol Ultra with building a prototype:

Do a research spike to see what it would take to build a library with the same core API as SQLite-utils - in particular the insert and upsert and insert_all and upsert_all and create and update methods, and the table introspection stuff - but backed by SQLalchemy so it works for multiple database engines Test against PostgreSQL and SQLite and duckdb Use ~/dev/sqlite-utils for reference Create a git repo for this and commit and early and often - use uv init to start the project - use red/green TDD and pytest, see ~/dev/django-sql-dashboard for one idea as to how the PostgreSQL tests could work

It took very few follow-up prompts to produce this project in a state good enough to release as an alpha.

Here's a one-liner I can use to list the rows in a table in my local PostgreSQL copy of my blog's database:

uvx --with 'alchemy-utils[postgresql]' alchemy-utils rows 'postgresql+psycopg://simon@localhost:5432/simonwillisonblog' redirects_redirect

The output from that starts like this:

[
  {
    "id": 2328,
    "domain": "simonwillison.net",
    "path": "2020/May/21/apple-photos-sqlite/",
    "target": "/2020/May/21/dogsheep-photos/",
    "created": "2020-05-21T13:03:46.591692-07:00"
  },
  {
    "id": 3,
    "domain": "feeds.simonwillison.net",
    "path": "swn-links",
    "target": "https://simonwillison.net/atom/links/",
    "created": "2017-10-01T14:12:54.820729-07:00"
  }

Or if you'd like a DuckDB database with every tree in San Francisco, schema created automatically to match the file:

curl 'https://raw.githubusercontent.com/simonw/sf-tree-history/refs/heads/main/Street_Tree_List.csv' | uvx --with 'alchemy-utils[duckdb]' alchemy-utils insert 'duckdb:////tmp/trees.db' trees - --csv

(That one took nearly an hour the first time I ran it, so I had Codex optimize it and got it down to around 35 seconds.)

Tags: databases, postgresql, projects, python, sql, sqlalchemy, sqlite, sqlite-utils, duckdb, coding-agents, codex