gdata-python-scripts collects some simple scripts and examples that use the Google Spreadsheets Data APIs client libraries for Python. The main goal is to collect and publish small snippets of code that, if not completely general and ready to use, remain simple enoguh (and hopefully well documented enough) to be adapted to your own needs.
StructObject is a PHP class which can be used to create objects from a list of strict type variables. It takes a string with the names of types of variables that the current object should have. It only allows setting such variables to values of the specified types. The variables may not be unset.
Data Validator is a class to validate a set of values based on a list of rules. It supports the following validation orders: sequence (fields validated sequentially), all-at-once, and both (using a dependencies model). It can embed different user-defined validation rules libraries (a default built-in library is provided).
PHP common data gateway sets and gets values of common data structures. It provides static functions which can be called from anywhere to set up a common data structure with a name and values for named properties. A data structure is created if one does not exist with the given name. Properties may be changed to a given value specifying a string with the name of the data structure followed by the name of the property, separated by a dot. If no value is passed, the current value of the property is returned.
Meters is a set of Java/Swing components for creating live, realtime dashboards which visualize telemetric data. It provides visually rich components with organic movement, which gets the user interface out of the way, allowing the data to communicate. It is implementation-agnostic. It provides easily-extended interfaces and base classes which allow you to integrate your existing data sources so you can create a simple Java wrapper around your existing technology and incorporate your telemetry data into Meters.