Wine Management tracks wine production from harvest through bottling. As a record keeping system, it tracks history of wine compositions in all detail. It tracks variety, area, year, yield, and taste. Because it accumulates wine lost to processing and updates the yields, you always know the values when it was produced. Quantities processed by work center are kept up to date. Almost any level of inventory is available by month, including any combination of variety, area, year, taste, storage, and others. Tank lineup may prove very profitable with faster processing and reduced cellar cost and crews. It can find the best pipes to use based on either number of pipes, flow, or heat loss.
CellarBoss provides a simple way to manage your wine cellar. It lets you easily update your database and includes printable reports. It uses an embedded Derby database so no separate database server is needed. The reports are created using Jasper Reports and can be printed and saved in many formats including PDF, HTML, Open Document, and XLS.
Camea is an utility for managing WINE using a set of "Glasses" in which the user may store Windows programs. It supports program isolation and provides access to multiple WINE versions in a "Cellar", either by compiling on the fly or by downloading binaries. Common WINE configuration tools like winecfg, regedit, and winetricks are provided via a unified graphical interface, which can configure an individual "Glass" containing your programs.
PeerProject is a versatile peer-to-peer filesharing client and file manager. It's intuitive and aesthetic while supporting many networks and features, including BitTorrent, G2, Gnutella, eDonkey, DC++, IRC, HTTP/FTP, and more. It's a mainstream fork of Shareaza p2p, for Windows and WINE.
NARS2000 is an experimental APL interpreter. The first NARS (Nested Arrays Research System) was designed and implemented in the early 1980s as a testbed for new ideas in APL, principally with nested arrays. A quarter of a century later, it's time to try again. The goal of this effort, as with the last one, is to foster new ideas about the language and its implementation. Language ideas include new functions, operators, and datatypes. Implementation ideas include algorithms to enhance code space (smaller executable), time space (faster execution times), or expressibility (clearer and more understandable code). A goal of the existing implementation is to be open and easy for others to change so new ideas may be inserted smoothly.