Skip to main content

Stateful, object-oriented, pseudo-functional programming in python.

Project description

Cellulose provides a mechanism for maintaining consistency between inter-dependant values with caching and lazy evaluation.

You can think of it like a spreadsheet program – Many cells are are calculated from the values of other cells. When one cell changes, all of the dependant cells get updated with new values.

However, cellulose goes quite a ways beyond this. It guarantees that when a value is read, it is consistant with all the values it depends on. It also is lazy (read: efficient.) Calculating a value is put off till the very last possible moment, and only recalculated when absolutely needed.

Dependency discovery and cache invalidation are fully transparent and automatic. This greatly reduces a major source of bugs in software.

A goal of the project is to be as simple as possible, (but no simpler,) so that anyone wanting to seriously use it could easily understand the internals.

Cellulose is similar in purpose to PyCells, but is in a way ‘lower level’. It tries real hard to stay out of your way, but, as a result, lacks some of the helpers that PyCells provides. The most essential algorithmic difference is probably that Cellulose desperatly wants to be lazy, while in PyCells everything is calculated immediately (by default.) (On the flipside of this, observers in PyCells are quite a bit easier to work with.)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Cellulose-0.1.2.tar.gz (26.7 kB view hashes)

Uploaded Source

Built Distribution

Cellulose-0.1.2-py2.4.egg (41.7 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page