Trembling Aspen

By | April 5, 2012

Aspen is a unique Python web framework developed by Chad Whitacre. I am still evaluating it, but one thing I can say unequivocally is that it’s different. Very different. Aspen divorces itself from the MVC pattern that every major — and almost every minor — web framework has been relying on for the past decade. While each framework has its perks and annoyances, they all have this underlying MVC-like interface. Aspen throws that all away.

Aspen lodges itself in a small niche between php-like spaghetti code and a complicated package structure full of python models, views, controllers, and templates. In Aspen, template and control code live in the same file, but in separate pages, called Simplates. In a rebellion against regular expression url parsing, Aspen uses the filesystem to define url structure and paths; like in the old days of statically served HTML files.

One thing I love about Aspen is how easy it is to get up and running. Aspen will serve a single HTML file with no python code without any boilerplate. It serves static files for css, javascript, and images just as easily. To add a dynamic page to your Aspen powered site, you simply use the aforementioned simplates, which include python controllers and Tornado inspired templates in the same file. Aspen provides numerous service connectors, so deployment can also be trivial.

Another great feature of Aspen is its documentation. At first glance, the docs seem sparse and rather limited. However, they are well organized, and every page seems to answer every question I have on the topic succinctly and quickly. Chad seems to have a terrific minimalist policy of telling you exactly what you want to know in as few words as possible. As a writer, I know just how difficult this is to accomplish without repeating oneself.

On the negative side, I do have misgivings as to how well Aspen’s filesystem urls it can scale. Chad has assured me that Aspen is up for running large sites. I appreciate the power of regex urls, and I don’t necessarily like having arbitrary file extensions in URLS. I think locators should be succinct and divorced from implementation details. Ideally, I believe there may be a happy medium between Aspen’s enforced folder structure, and the overly-abstract and overly-complicated url scheme Django and its kin provide.

Another downside is that I haven’t figured out a good way to unit test Aspen simplates. You can refactor much of the code into backend libraries and test that, of course, or you can start the service running and mock requests. However, I miss the TestClient feature from Django that allows me to mock a request without running the server. It provides a better analysis of code coverage, and is closer to the actual code.

Now, with the review over, I’d like to introduce a little project I’ve started to provide some vital features that Aspen core is missing.
Trembling is kind of a catch-all project with a few basic helpers and a few useful projects. Namely, trembling provides:

  • Basic sessions
  • Basic user authentication
  • Less than basic single request messages
  • A simple redirect response

Aspen itself does not define or require a model layer; you’re free to use the ORM, DBAPI connector, or NoSQL database of your choice. Trembling arbitrarily chooses mongoengine for the models. I made no effort to make pluggable backends like Django does; Aspen does not encourage excessive layers of abstraction.

I also don’t know how secure trembling’s session and auth features are. If you find a security hole, pull requests are welcome. Overall, I think the combination of Trembling and Aspen will be very useful for my future basic sites. I would also like to try it on a more complicated project just to see how well it performs.

2 thoughts on “Trembling Aspen

  1. Chad Whitacre

    Thanks for the review, Dusty! There’s a lot of room for improvement, including better testing support like you mention, but if the foundation is solid I trust these will come along in their own time. Thanks for your work on trembling, for example!

    As far as scaling goes, it’s going to depend on your application and the underlying engine you use (Aspen bundles CherryPy’s WSGI server and includes shims for eight others, in addition to the inverted gunicorn option). Aspen compiles simplates to code objects and compiled templates so the request-time overhead is “not too bad.” Here’s a benchmark comparison from a couple years ago in which Aspen and CherryPy fare favorably:

    It would be interesting to see some more modern benchmarks.

    P.S. There is a request.redirect method, but it kind of gets lost in the docs currently:


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