django-treebeard is a library that implements efficient tree implementations for the Django Web Framework 1.8 and later.
It is written by Gustavo Picón and licensed under the Apache License 2.0.
Status
Features
django-treebeard is:
Flexible: Includes 3 different tree implementations with the same API:
Adjacency List
Materialized Path
Nested Sets
Fast: Optimized non-naive tree operations
Easy: Uses Django Model Inheritance with abstract classes to define your own models.
Clean: Testable and well tested code base. Code/branch test coverage is above 96%. Tests are available in Jenkins:
Test suite running on different versions of Python and Django: https://travis-ci.org/django-treebeard/django-treebeard/
You can find the documentation in
Supported versions
django-treebeard officially supports
Django 1.8 - 2.0
Python 2.7, 3.4, 3.5, 3.6
PostgreSQL, MySQL, SQLite database back-ends.
1 maintainer
Metadata
1 maintainer
Release files for django-treebeard-rvanlaar 4.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| django-treebeard-rvanlaar-4.3.tar.gz | 310.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| django_treebeard_rvanlaar-4.3-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 415.1 kB
Release files / django-treebeard-rvanlaar-4.3.tar.gz
| Download URL | django-treebeard-rvanlaar-4.3.tar.gz |
|---|---|
| Size | 310.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.41.0 CPython/3.7.4
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Release files / django_treebeard_rvanlaar-4.3-py2.py3-none-any.whl
| Download URL | django_treebeard_rvanlaar-4.3-py2.py3-none-any.whl |
|---|---|
| Size | 104.2 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.41.0 CPython/3.7.4
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