django-treebeard 1.61 has been released (CHANGES).
It’s in pypi so you can install it with pip or easy_install.
You can get the code in the Mercurial repo. There is also a well maintained Git mirror.
Please report bugs in the bug tracker.
Share and enjoy.
django-treebeard 1.60 has been released (CHANGES).
It’s in pypi so you can install it with pip or easy_install.
The documentation was also updated, using the graphviz extension for sphinx to generate pretty trees ;)
You can get the code in the Mercurial repo. There is also a well maintained Git mirror.
Please report bugs in the bug tracker.
Update: Re-uploaded 1.6 as 1.60.
Share and enjoy.
django-treebeard 1.0 has been released.
Direct link: django-treebeard-1.1.tar.gz (don’t forget to read the UPDATING file).
I will be focusing now in another project: django-taggable, so stay tuned.
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django-treebeard is a library that implements efficient tree implementations for the Django Web Framework 1.0+. It includes 3 different tree implementations: Adjacency List, Materialized Path and Nested Sets. Each one has it’s own strength and weaknesses (see Benchmarks) but share the same API, so it’s easy to switch between implementations.
django-treebeard uses Django Model Inheritance with abstract classes to let you define your own models. To use django-treebeard:
| documentation: | treebeard-docs |
| examples: | treebeard-examples (source) |
| tests: | treebeard-tests |
| benchmarks: | treebeard-benchmarks |
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