从 Django 访问 Neo4j 的最佳方式是什么？
我似乎发现了一些让我困惑的事情；我找到了两个 Neo4j 下载到 python，第一个是：
第二个是：
两者有什么区别？第一个似乎很大（大小），所以这是否意味着如果我使用它，我将不需要 Neo4j 社区版本（里程碑）？
当我安装第一个并尝试测试 django 示例时，似乎名为“model”的目录 https://svn.neo4j.org/components/neo4j.py/trunk/src/main/python/neo4j/model/ 丢失？那么有什么区别，谁更适合与 Django 一起使用呢？
那那个呢？
it seems that i found something that let me confused; i've found two Neo4j to download to python, the first one is:
and the second one is:
what's the difference between the two? the first one seems to be big (size), so does this mean that if i use it i'll not need the neo4j community release (milestone)?
when i've installed the first one, and tried to test a django example, it seems that the directory named "model" https://svn.neo4j.org/components/neo4j.py/trunk/src/main/python/neo4j/model/ is missing? so what's the difference, and who will be better to use with Django?
and what about that one?
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我是开始从 Tobias 的原始集成更新 neo4django 的团队的一员，但我会尝试公平 =)
你跳过了另一个重要的库 - neo4j-rest-client，Python REST 绑定。 neo4django 基于这个库，并分享了它的许多优点和缺点 。特别是，REST 客户端总是比本机客户端慢，但它允许轻松使用远程数据库。
neo4django 与 Django 的集成非常紧密。它与标准 ORM 非常相似，并且有一些很酷的东西，例如具有索引支持的查询并与关系数据库一起使用。我非常喜欢它，但如果您不使用远程数据库，性能损失可能会太高。不过，我正在努力，所以继续发布！
我相信上面的 svn 链接（https://svn.neo4j.org/components/ neo4j.py/trunk/) 是旧的本机 Python 绑定。新的比我所看到的要好得多（更新后不那么令人头疼），所以除非你想尝试旧的捆绑 Django 集成，否则会更容易避免它。
第一个链接（http://pypi.python.org/pypi/neo4j-embedded) 是较新的集成。我认为发行版中不包含“模型”，因为它尚未集成 Django。如果您需要严格的性能并且可以放弃 Django 风格的数据定义语言，那么这就是您的最佳选择。
将来，我希望 Neo4django 能够与本机和 REST 客户端一起工作......我们将看看会发生什么！
I'm part of the team that began updating neo4django from Tobias's original integration, but I'll try to be fair =)
You skipped another important library- neo4j-rest-client, the Python REST binding. neo4django is based on this library, and shares a bunch of its advantages and disadvantages. In particular, a REST client will always be slower than a native client, but it allows the easy use of a remote database.
neo4django is a pretty tight integration with Django. It's very similar to the standard ORM, and has some cool goodies like queries with index support and working alongside a relational DB. I like it alot, but if you aren't using a remote database, the performance penalty might be too high. I'm working on it, though, so keep posted!
I believe the svn link above (https://svn.neo4j.org/components/neo4j.py/trunk/) is the old native Python binding. The new one is way better from what I've seen (less of a headache, updated), so unless you want to give the old bundled Django integration a try, it'd be easier to avoid it.
The first link (http://pypi.python.org/pypi/neo4j-embedded) is the newer integration. I don't think 'model' is included in the distro, because it doesn't yet come with Django integration. If you need serious performance and you're okay with dropping the Django-style data-definition-language, it's the way to go.
In the future, I hope to get neo4django working with the native and REST clients... we'll see what happens!