Moodss is a modular monitoring application, which supports operating systems (Linux, UNIX, Windows, etc.), databases (MySQL, Oracle, PostgreSQL, DB2, ODBC, etc.), networking (SNMP, Apache, etc.), and any device or process for which a module can be developed (in Tcl, Python, Perl, Java, and C). An intuitive GUI with full drag'n'drop support allows the construction of dashboards with graphs, pie charts, etc., while the thresholds functionality includes emails and user defined scripts. Monitored data can be archived in a SQL database by both the GUI and the companion daemon, so that complete history over time can be made available from Web pages or common spreadsheet software. It can even be used for future behavior prediction or capacity planning, from the included predictor tool, based on powerful statistical methods and artificial neural networks.
SQLite is a small, fast, embeddable SQL database engine that supports most of SQL92, including transactions with atomic commit and rollback, subqueries, compound queries, triggers, and views. A complete database is stored in a single cross-platform disk file. The native C/C++ API is simple and easy to use. Bindings for other languages are also available.
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.
pgintcl is a pure Tcl interface to the PostgreSQL database system. It provides an alternative to pgtcl and pgtcl-ng but does not require a compiled Tcl extension (libpgtcl) or PostgreSQL client library (libpq). This allows developers to create Tcl utilities and applications that are platform neutral. Trade-offs are slower performance and PostgreSQL protocol version dependency.
TkSQL allows you to edit the tables of PostgreSQL and MySQL databases. You can use it from the shell prompt, specifying the name of a table, or an SQL satement, or just the name of a database. It has filter capabilities which are very easy to use. Two views are possible (tables and form) and both views can coexist. TkSQL can edit a join of two tables (limited to the first of such tables). Totals and subtotals can be done quickly, and displayed inline with the data or in a separate window. Queries can be created in no time and all working conditions can be saved at once (comprising subtotals, relative time constraints, layout, etc.). It also provides basic tools for creating tables.
SQLScreens is a simple relational database screen form generator written in TCL/TK. It will let you create query screens very quickly by specifying what data (tables and columns) you want to see and what operations should be allowed (query/update, etc.). It will take care of creating the user interface and the behind-the-scenes SQL. SQLScreens can be used with different backend database systems, and includes direct support for MySQL, SQLite, and INFORMIX, and ODBC for others.
e4Graph is a C++ library that allows programs to store graph-like data persistently and to access and manipulate that data efficiently. With e4Graph, you can arrange your data in the most natural form that reflects the relationships between its parts, rather than having to force it into a table-like format. The e4Graph library also allows you to concentrate on the relationships you want to represent, and not on how to store them in a database. You can modify data items, and add and remove connections and relationships between pieces of data on the fly. e4Graph allows you to represent an unlimited number of different connections between pieces of data, and your program can selectively manipulate the data according to the relationships it cares about, not having to know about other connections represented in the data set.