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Asked: 2026-05-10T14:45:01+00:00

I’m evaluating and looking at using CherryPy for a project that’s basically a JavaScript

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I’m evaluating and looking at using CherryPy for a project that’s basically a JavaScript front-end from the client-side (browser) that talks to a Python web service on the back-end. So, I really need something fast and lightweight on the back-end that I can implement using Python that then speaks to the PostgreSQL DB via an ORM (JSON to the browser).

I’m also looking at Django, which I like, since its ORM is built-in. However, I think Django might be a little more than I really need (i.e. more features than I really need == slower?).

Anyone have any experience with different Python ORM solutions that can compare and contrast their features and functionality, speed, efficiency, etc.?

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  1. SQLAlchemy is more full-featured and powerful (uses the DataMapper pattern). Django ORM has a cleaner syntax and is easier to write for (ActiveRecord pattern). I don’t know about performance differences.

    SQLAlchemy also has a declarative layer that hides some complexity and gives it a ActiveRecord-style syntax more similar to the Django ORM.

    I wouldn’t worry about Django being ‘too heavy.’ It’s decoupled enough that you can use the ORM if you want without having to import the rest.

    That said, if I were already using CherryPy for the web layer and just needed an ORM, I’d probably opt for SQLAlchemy.

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