python-ldap provides an object-oriented API to access LDAP directory servers from Python programs. Mainly, it wraps the OpenLDAP 2.3+ libs for that purpose. Additionally, the package contains modules for other LDAP-related stuff (such as processing LDIF, LDAPURLs, and LDAPv3 schema).
Y Object Database Adapter (YODA) is an environment for creating and running network accessible applications. It can permanently store objects of any type and complexity, and supports attributes of most types (with the exception of only a few Python types, such as thread locks). It can be extended with YODA- server applications, and an application compiler and loader are provided.
Modeling Framework fills the gap between the Python object world and relational databases in that it allows users to transparently create, retrieve, update, or delete Python objects from a database without having to write a single line of SQL. Its main features include generation of database schema, generation of Python code templates ready to be used, support for transparent mapping of (class) inheritance in relational databases, object-oriented query language, use of standard Python getters to traverse relationships (the related objects are automatically fetched when needed and when appropriate), and automatic checking for referential-integrity constraints, etc. Supported databases are MySQL, Oracle, PostgreSQL, and SQLite.
SQLObject is an object-relational mapper, i.e., a library that will wrap your database tables in Python classes and your rows in Python instances. It currently supports MySQL through the 'MySQLdb' package, PostgreSQL through the 'psycopg' package, SQLite, Firebird, MaxDB (SAP DB), MS SQL, and Sybase. It should support Python versions back to 2.4.
The eGenix mxODBC Zope Database Adapter (Zope DA) allows you to easily connect your Zope installation to just about any database backend. Unlike Zope's ZODBC Zope DA, the mxODBC Zope DA works on Windows, Linux, and Solaris using the same interface. It implements thread-safe connection pooling and multiple physical connects per logical Zope connection. You can safely run Z SQL Methods in parallel, achieving much better performance than ZODBC Zope DA or similar database adapters under heavy load. This makes it ideal for deployment in clusters and hosting environments where stability and high performance are a priority.
dbo is yet another database object framework written entirely in Python. Tables are represented using schema objects that encapsulate column information and supporting metadata. Row instances are represented as a dictionary. Features include database independence (with Postgres and MySQL support), automatic type conversion, database schema extraction, sequence emulation, on-the-fly table joins, and more.
PDO (Python Database Objects), is a collection of objects for use with Phase or with the Python programing language. PDO is designed to be robust and simple at the same time, allowing access to multiple styles of databases with one set of instructions. This means never having to worry again about your syntax when changing database platforms on your next project. PDO provides an object oriented API similar in intent to ADO and JDBC.
Berkeley DB XML is a native XML database engine for use within your product. Made available as a C++ library with language bindings for Java, Perl, Python, PHP, and Tcl, it integrates directly into your application (it is not a standalone database server). It provides XQuery access into a database of document containers. XML documents are stored and indexed in their native format using Berkeley DB as the transactional database engine.