What are some good Python ORM solutions?
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Chapters
00:00 What Are Some Good Python Orm Solutions?
00:42 Answer 1 Score 140
01:06 Accepted Answer Score 138
01:45 Answer 3 Score 85
02:09 Answer 4 Score 29
02:45 Answer 5 Score 17
03:10 Thank you
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Full question
https://stackoverflow.com/questions/5342...
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Tags
#python #orm
#avk47
ACCEPTED ANSWER
Score 139
SQLAlchemy is more full-featured and powerful (uses the DataMapper pattern). Django ORM has a cleaner syntax and is easier to write for (ActiveRecord pattern). I don't know about performance differences.
SQLAlchemy also has a declarative layer that hides some complexity and gives it a ActiveRecord-style syntax more similar to the Django ORM.
I wouldn't worry about Django being "too heavy." It's decoupled enough that you can use the ORM if you want without having to import the rest.
That said, if I were already using CherryPy for the web layer and just needed an ORM, I'd probably opt for SQLAlchemy.
ANSWER 2
Score 85
Storm has arguably the simplest API:
from storm.locals import *
class Foo:
__storm_table__ = 'foos'
id = Int(primary=True)
class Thing:
__storm_table__ = 'things'
id = Int(primary=True)
name = Unicode()
description = Unicode()
foo_id = Int()
foo = Reference(foo_id, Foo.id)
db = create_database('sqlite:')
store = Store(db)
foo = Foo()
store.add(foo)
thing = Thing()
thing.foo = foo
store.add(thing)
store.commit()
And it makes it painless to drop down into raw SQL when you need to:
store.execute('UPDATE bars SET bar_name=? WHERE bar_id like ?', [])
store.commit()
ANSWER 3
Score 29
I usually use SQLAlchemy. It's pretty powerful and is probably the most mature python ORM.
If you're planning on using CherryPy, you might also look into dejavu as it's by Robert Brewer (the guy that is the current CherryPy project leader). I personally haven't used it, but I do know some people that love it.
SQLObject is a little bit easier to use ORM than SQLAlchemy, but it's not quite as powerful.
Personally, I wouldn't use the Django ORM unless I was planning on writing the entire project in Django, but that's just me.
ANSWER 4
Score 17
SQLAlchemy's declarative extension, which is becoming standard in 0.5, provides an all in one interface very much like that of Django or Storm. It also integrates seamlessly with classes/tables configured using the datamapper style:
Base = declarative_base()
class Foo(Base):
__tablename__ = 'foos'
id = Column(Integer, primary_key=True)
class Thing(Base):
__tablename__ = 'things'
id = Column(Integer, primary_key=True)
name = Column(Unicode)
description = Column(Unicode)
foo_id = Column(Integer, ForeignKey('foos.id'))
foo = relation(Foo)
engine = create_engine('sqlite://')
Base.metadata.create_all(engine) # issues DDL to create tables
session = sessionmaker(bind=engine)()
foo = Foo()
session.add(foo)
thing = Thing(name='thing1', description='some thing')
thing.foo = foo # also adds Thing to session
session.commit()