Agent Stack Picks

Tool · October 2026

How often do AI models pick SQLAlchemy?

In October 2026, SQLAlchemy was named in 18 of 900 picks, by 8 models, in 2 categories. Most of them were in ORM and query layer: 10 of 63 picks (16%). That is 2.0% of all 900 picks; Nemotron 3 Super 120B named it most often (7 times).

n = 18 picksMeasured 2026-10-19Method

Model pick, not a product recommendation. The models answered without a repository, existing code or tools, so the index shows what a model names when nothing in the project constrains it. It says nothing about quality, security, price or market share.

By category

Picks of SQLAlchemy per category, October 2026.
CategoryPicksofShareMost named in category
ORM and query layer106316%Prisma
Database86712%PostgreSQL

By context

Picks of SQLAlchemy per context, all categories, October 2026.
ContextPicks
Next.js (TypeScript)0
Python FastAPI18
Vibe coder (non-technical)0
EU users (GDPR)0

By model

Picks of SQLAlchemy per model, October 2026. Models that never named it are not listed.
ModelPicks
Nemotron 3 Super 120B7
Laguna S 2.15
Claude Opus 5.51
Claude Sonnet 5.51
Gemini 3.1 Pro1
Gemini 3.6 Flash1
GPT-5.61
Kimi K31

Alternatives named in the same runs

When a model picked SQLAlchemy, these are the other tools it listed, by number of runs.

  • Tortoise ORM: 17 runs
  • SQLModel: 8 runs
  • databases (encode): 8 runs
  • Peewee: 8 runs
  • Prisma: 5 runs
  • Django ORM: 4 runs
  • Raw asyncpg: 1 runs
  • Piccolo: 1 runs

Vendor facts

We have not verified facts about SQLAlchemy yet. Use the vendor's own documentation.