Lots of interesting solutions here. My solution was to add an as_dict method to my model with a dict comprehension.

 def as_dict(self):   return dict((f.name, getattr(self, f.name)) for f in self._meta.fields) 

As a bonus, this solution paired with an list comprehension over a query makes for a nice solution if you want export your models to another library. For example, dumping your models into a pandas dataframe:

 pandas_awesomeness = pd.DataFrame([m.as_dict() for m in SomeModel.objects.all()]) 

Lots of interesting solutions here. My solution was to add an as_dict method to my model with a dict comprehension.

def as_dict(self): return dict((f.name, getattr(self, f.name)) for f in self._meta.fields) 

As a bonus, this solution paired with an list comprehension over a query makes for a nice solution if you want export your models to another library. For example, dumping your models into a pandas dataframe:

pandas_awesomeness = pd.DataFrame([m.as_dict() for m in SomeModel.objects.all()])