What is our philosophy?
We want to keep LFS fast, secure and easy to use. We don't implement YAGNIs, but all new features must have an real live use case.
We try to provide reasonable APIs to make writing extensions for LFS easy and without touching the core.
We provide migration pathes from one official release to the next (starting with 0.6).
All code should have unit tests and documentation.
We provide bugfixes for two major releases (starting with 0.6).
LFS will always be open source and distributed under a permissive free software licenses.
Ist there an official release?
The latest stable release is LFS 0.7 (called "Gonzales"). You can find it on the Python Package Index.
Where can I download the source code?
The source code is on github and on the Python Package Index. Don't use the code from bitbucket, we have been moved to github, recently.
How can I install LFS?
Installing LFS is very easy and will only take a few minutes. See the instructions for installing LFS.
Under which licence is LFS distributed?
BSD - a permissive free software licence.
Is there a demo where I can test LFS?
Yes, just go to:
http://demo.getlfs.com. The user and password is admin/admin
What Django version is LFS running?
1.3 (since version 0.6)
1.4 (development version)
Can LFS be used with other Django apps?
Yes, it can but one might be disappointed as LFS is not using Django admin.
How fast is LFS?
This is hard to say and a concrete answer would be a lie.
On a decent server you can reach ~200ms of calculation for a realistic product (without caching) with variants, accessories, related products, reviews, etc. Same is true for a realistic category view. With caching turned on you can reach <100ms.
Does LFS scale?
All components of LFS scale: application, webserver, database, cache. You can bring in as many hardware as you can afford.
Is there professional support?
Yes, look here.