Skip to main content

Dynamo let users and admins create and mantain their Django DYNAmic MOdels dynamically at runtime.

Project description

Dynamo let users and admins create and mantain their Django DYNA mic MO dels dynamically at runtime. For details on setup and usage, please read the documentation on Readthedocs.

Why would you need a dynamic model?

Dynamic models are beneficial for applications that need data structures, which are only known at runtime, but not when the application is coded. Or when existing models need to be extended at runtime by additional fields. Typical use cases are:

  1. CMS: In content management systems, users often need to maintain content that is unique for their specific website. The required data structures to store and maintain this content is therefore not known to the developers beforehand.

  2. Web Shop: The owner of a web shop has highly customized products, with very special product attributes. The shop developers want the web shop owner to define these attributes herself.

  3. Survey: If you have an application to create and maintain online surveys, you do neither know the questions nor the possible answers at runtime, but let your users define these, as they implement their surveys.

Dynamo supports the three of these use cases - and many more!

How does Dynamo work?

Dynamo lets you define the meta data for your models their fields. This metadata definition is stored in “real” Django models. The defined model is then created at runtime. And of course, you can also modify the models later on, e.g. adding, renaming or deleting fields; or changing model attributes. It will also automatically manage your admin and app cache for the dynamic models. The meta data maintenance can be done via the Django Admin or via the provided API.

What else is there?

There are various approaches and implemenations available for Django developers:

  • The most straight forward approach is to use the Django internals and its DB API to create and maintain models at runtime. Numerous authors have elaborated this option in the Django Wiki . Michael Hall has created an app following this approach; he has also called in dynamo, I hope this does not cause too much confusion.

  • Entity-Attribute-Value / EAV Model is the traditioal computer science approach to tackle this kind of problem, and there are also django implementations for that available like django-eav or eav-django.

  • Finally, Will Hardy has introduced a South -based concept, that he has presented and discussed at the DjangoCon Europe 2011 . Following this concept, he has implemented dynamic-models

The South based approach seems to be the cleanest and clearly follows the DRY approach: all database handling, maintenance and transactions are left to the excellent South API.

Who else gets credits for Dynamo?

Dynamo is inspired by the excellent work of Will Hardy’s dynamic-models and this Django Wiki Article. It also re-uses parts of their concepts and coding. Furthermore, South is used to maintain the Dyanmo related database objects.

Under which license is Dynamo available?

Dynamo is available under the BSD license.

How do I get suport?

The online documentation on ReadtheDocs is a great place to start. If you have any further questions, issues or would like to contribute, please let us know at the Dynamo Google Group

Project details


Release history Release notifications | RSS feed

This version

0.25

Download files

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

Source Distribution

django-dynamo-0.25.zip (28.1 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

django_dynamo-0.25-py2.7.egg (46.2 kB view details)

Uploaded Egg

django-dynamo-0.25.win32.exe (225.5 kB view details)

Uploaded Source

File details

Details for the file django-dynamo-0.25.zip.

File metadata

  • Download URL: django-dynamo-0.25.zip
  • Upload date:
  • Size: 28.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for django-dynamo-0.25.zip
Algorithm Hash digest
SHA256 8d8553ceb380f184aeec4bfb07c42d8483726f6a252e80eeee2c7f14991dc7ae
MD5 c5b9e236ebe8201ccf1a90f3d0622935
BLAKE2b-256 5deb4fa2443823ac8f19b321ce1977b5c4907ee8c726f54c3871d1883daeff98

See more details on using hashes here.

File details

Details for the file django_dynamo-0.25-py2.7.egg.

File metadata

File hashes

Hashes for django_dynamo-0.25-py2.7.egg
Algorithm Hash digest
SHA256 56307e25bf55f7f58bff16b0b6a7a93ddd792f9aa7d6949c9287bfd911636804
MD5 d331758140dcd070c06fba1717dfb1e4
BLAKE2b-256 16333a173d4beeae2fb8988d7bb8f9702012b6607ce2ca24c9ca046a90faf329

See more details on using hashes here.

File details

Details for the file django-dynamo-0.25.win32.exe.

File metadata

File hashes

Hashes for django-dynamo-0.25.win32.exe
Algorithm Hash digest
SHA256 48375618dd66897c59ea718f1fce1a9ca4807e7140fc2297adea63ef89204545
MD5 597f4e96437b71e55f69d0e142642894
BLAKE2b-256 ffc5b271077fd5dad9014cee71366ad27f0dd879c5752e463d561891a498c366

See more details on using hashes here.

Supported by

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