web2ldap is a full-featured Web-based LDAPv3 client written in Python. It is designed to run either as with stand-alone built-in Web server or under the control of another Web server with FastCGI support (e.g. Apache with mod_fastcgi). It has support for various LDAPv3 bind methods and a powerful built-in schema browser. HTML templates are supported for displaying and editing entries, and LDIF templates can be used for quickly adding new entries. A built-in X.509 parser displays a detailed view of certificates and CRLs with active links.
MUSCLE (Multi User Server Client Linking Environment) is an N-way messaging server and networking API. It includes client-side networking APIs for various languages, including C, C++, C#, Delphi, Java, and Python. MUSCLE lets programs communicate over a network via streams of serialized Message objects. The included server program ("muscled") lets its clients message each other and store information in its server-side hierarchical database. The database supports flexible queries via hierarchical wildcarding, and "live" updates via a subscription mechanism.
Webware for Python is a suite of Python packages and tools for developing object-oriented, Web-based applications. The suite uses well known design patterns and includes a fast Application Server, Servlets, Python Server Pages (PSP), Object-Relational Mapping, Task Scheduling, Session Management, and many other features. Webware is very modular and easily extended. It is well proven and platform-independent. It is compatible with multiple Web servers, database servers, and operating systems.
minidb is a Python module that utilizes the SQLite3 database library in order to store and retrieve Python objects. It utilizes Python's __slots__ mechanism to determine the column names, and uses the class name for table names. Data is always stored as text in the database, but will be converted using the type specified in __slots__ (which therefore has to be a dict).
Berkeley DB (libdb) is a programmatic toolkit that provides embedded database support for both traditional and client/server applications. It includes b+tree, queue, extended linear hashing, fixed, and variable-length record access methods, transactions, locking, logging, shared memory caching, database recovery, and replication for highly available systems. DB supports C, C++, C#, Java, PHP, and Perl APIs. It supports key-value pair (NoSQL), SQL, and Java Object formatted data. It is available for a wide variety of Unix platforms as well as QNX, Android, Mac OS X, and several varieties of Windows.
psycopg is a PostgreSQL database adapter for the Python programming language. Its main advantages are that it supports the full Python DBAPI 2.0 and it is thread safe at level 2. It was designed for heavily multi-threaded applications that create and destroy lots of cursors and make a conspicuous number of concurrent INSERTs or UPDATEs. The psycopg distribution includes ZPsycopgDA, a Zope Database Adapter.
Sqlkit provides a GUI named sqledit to edit data in a database, as well as a package (sqlkit) in PyGtk. Sqledit (the application) can be run from the command line with arguments and will pop directly into the table/mask of the data, or without arguments and will present an input mask to write the database URL. Sqlkit (the Python package) provides SqlMask and SqlTable, two widgets for editing database data. It is meant to be used as a base for database desktop applications.
GRASS (the Geographic Resources Analysis Support System) is a software raster- and vector-based GIS (Geographic Information System), image processing system, graphics production system, and spatial modeling system. It contains many modules for raster data manipulation, vector data manipulation, rendering images on the monitor or paper, multispectral image geocoding and processing, point data management and general data management. It also has tools for interfacing with digitizers, scanners, and the PostgreSQL, DBF, and ODBC connected databases. GRASS operates on all common operating systems.