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Other Persistent Storage Modules
The modules listed on this page provide mechanisms for storing data on disk. Some modules are simply the disk-based equivalent of dictionaries; others provide for persistent storage of arbitrary Python objects.
[http://docs.python.org/lib/module-anydbm.html anydbm] Included with the standard Python distribution. The anydbm module is a generic interface to all the DBM-like modules listed in the next two lines, selecting from whichever modules are installed.
[http://docs.python.org/lib/module-dbm.html DBM],BR [http://docs.python.org/lib/module-gdbm.html GDBM],BR [http://docs.python.org/lib/module-dbhash.html dbhash] Included with the standard Python distribution. Each of these modules is an interface to a specific library.
[http://docs.python.org/lib/module-bsddb.html BSDDB] Included with the standard Python distribution. In addition to dictionary-like behaviour, this module also supports B-trees, which allows traversing the keys in sorted order.
[http://www.lemburg.com/files/python/mxBeeBase.html mxBeeBase] mxBeeBase is a high performance construction kit for disk based indexed databases. It offers components which you can plug together to easily build your own custom mid-sized databases, up to around 2Gb on 32-bit platforms).
Data Writing and Parsing
PyTables reads and writes large amounts of numeric data.
The xBase .dbf file format used by several old systems such as dBase(II,III,IV), Fox(Base,Pro)
xBase (http://linux.techass.com/projects/xdb/) - Python interface in plans
[http://docs.python.org/lib/module-pickle.html pickle.py] Included with the standard Python distribution. The pickle module can convert Python objects to and from a string representation.
[http://docs.python.org/lib/module-shelve.html shelve.py] Included with the standard Python distribution. Built on top of the pickle and anydbm modules, the shelve module behaves like a persistent dictionary whose values can be arbitrary Python objects.
[http://wiki.zope.org/ZODB] The Zope Object Database is a persistent-object system that provides transparent transactional object persistence to Python applications.
Durus is a persistent object system that offers an easy way to use and maintain a consistent collection of object instances used by one or more processes. Changes to persistent instances are managed through a cached Connection instance that includes commit() and abort() methods so that changes are transactional.