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.
CodeBase is a high-speed xBASE compatible database engine for C/C++, Visual Basic, Delphi & Java programmers. You can use CodeBase to write high performance database applications that are multi-user compatible with FoxPro, dBASE and Clipper, create anything from a Java applet to a full-blown Windows database application to a simple DOS utility, write scalable applications that can be deployed as single-user, multi-user or client/server, all without changing any of your source code, and port your applications to Windows, DOS, UNIX, OS/2, and Macintosh. There's a free 30-Day Test Drive option available. CodeBase is available for every major operating system including Windows XP, 2000, 9x, NT, CE, DOS, OS/2, Macintosh, and a variety of Linux and UNIX platforms including Solaris, SunOS, HP/UX, AIX, SCO, and others.
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.
mysqlpdump can dump all your MySQL tables and databases in parallel, which can be much faster on systems with multiple CPUs. It stores each table in a different file by default. It can also generate the dump to stdout, although this is not recommended because it can use all the memory in your system if your tables are large.