Talend Open Studio for Data Quality helps you to profile your data. The ergonomic interface allows you to define metrics (indicators) and collect statistics on your data in a few clicks. It comes with a set of regular expressions that helps you to identify bad data. You can create your own regular expressions and use them in data profiling analyses. A lot of options exist for each indicator, which change the behavior of the indicator so that it gives you more pertinent information. Data quality options on indicators alert you when your data quality is not what you expected.
finic helps users manage their finances. It can be used on a local network (as a client-server system for many users) or on local computer (client only for one user), with separation of accounts, clauses, and customers. It can encrypt information and manage different users with different access rights. Reports can be generated as HTML, PDF, or XLS files or through an internal print preview system. An API is available for creating extensions.
hiberlite provides C++ object-relational mapping for SQLite 3. Its design and API are inspired by the Boost.Serialization, which means there is almost no API to learn. In contrast to most serialization libraries with SQL serializers, C++ objects mapped with hiberlite behave similar to active record patterns: you are not forced to follow the "read all your data/modify some small part/write everything back" path. It is for people who need reliable data storage, ACID transactions, and simple random access to their data files, and don't like coding in SQL.
The PKP Open Archives Harvester is a free metadata indexing system intended to expand and improve access to research. The PKP OAI Harvester allows you to create a searchable index of the metadata from Open Archives Initiative (OAI)-compliant archives, such as sites using Open Journal Systems (OJS) or Open Conference Systems (OCS).
Essential Management is a multi-user project management system for managing intricate and complex information. Its initial purpose was to allow software development teams to create, maintain, track, and store project requirements on a multi-project basis in a multi-user environment. It has now become more abstract in the type of data it can maintain, allowing the easy addition of new data models and other expansions. Information can be stored in any of several database management systems, and can take advantage of a networked DBMS.