django-oscar-bundles
An extension on top of django-oscar providing product bundle functionality.
Use Cases
Bundles can be used to recommend groups of products from another groups products. Bundles do not include offers - however it may be used in combination with an offer.
The user has a bed and a mattress in their cart - recommend a sheet set.
The user has a pillow in their cart - recommend adding another pillow and sheet set with copy about a discount. The discount is set up in Oscar’s offer section.
Add a bundle group for a bed base and mattress. Each product has varients with sizes. Enter common copy and images on the group retaled to the parent product. Add bundles for various sizes (Queen size bed matches queen size mattress and medium sized pillow)
Metadata
Release files for django-oscar-bundles 2.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| django_oscar_bundles-2.6.0.tar.gz | 670.0 kB | With provenance | Details for django_oscar_bundles-2.6.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| django_oscar_bundles-2.6.0-py3-none-any.whl | Python 3 | none | any | Details for django_oscar_bundles-2.6.0-py3-none-any.whl |
Total release size: 1.3 MB
Release files / django_oscar_bundles-2.6.0.tar.gz
| Download URL | django_oscar_bundles-2.6.0.tar.gz |
|---|---|
| Size | 670.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Download URL | django_oscar_bundles-2.6.0-py3-none-any.whl |
|---|---|
| Size | 619.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
9cb63c442a37024ba62e4fdee3dd1b5dea7d0ce7a85fe01ec49f7eb0d31db99d
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
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Provenance
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Transparency logSecurity for django-oscar-bundles 2.6.0
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Attestation for django_oscar_bundles-2.6.0.tar.gz
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Signed by GitLab CI/CD, verified by PyPI on Oct 30, 2026.
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