AqBanking is a modular and generic interface to online banking tasks, financial file formats (import/export), and bank/country/currency information. AqBanking uses backend plugins to actually perform the online tasks. HBCI, OFX DirectConnect, and EBICS are currently supported. AqBanking is used by GnuCash, KMyMoney, Pecunia, AqBanking-CLI, and QBankManager.
AqFinance is the successor to QBankManager. It is a graphical accounting application based on double-entry accounting. The GUI uses the FOX toolkit. The package contains AqFinance (the GUI application), AqFinance-CLI (a command line tool to manipulate and export the AqFinance database), and AqBanking-CLI (a command line tool for online banking tasks). It supports all online banking protocols provided by AqBanking (currently HBCI and OFX DirectConnect). A version supporting EBICS (a German online banking protocol) is also available. AqFinance contains the latest versions of AqBanking, Gwenhywfar, and Libchipcard.
Bitcoin is a peer-to-peer electronic cash system that is completely decentralized, without the need for a central server or trusted parties. Users hold the crypto keys to their own money and transact directly with each other, with the help of a P2P network to check for double-spending.
Budgets Get Real is a powerful and easy-to-use money management system for home or small business. It imports information directly from your bank statements to track expenses, income, and budget. You can easily manage your credit cards, track cash, and minimize bank fees. It automatically generates graphs and reports to predict your future needs. Powerful add-on modules allow you to plan for major holidays, weddings, and future expenses. These integrate directly with your other spending and budgets to let you see how they'll affect your budget a year or two in advance.
CCruncher is a project for quantifying portfolio credit risk using the copula approach. It is a framework consisting of two elements: a technical document that explains the theory, and a software program that implements it. CCruncher evaluates the portfolio credit risk by sampling the portfolio loss distribution and computing the Expected Loss (EL), Value at Risk (VaR), and Expected Shortfall (ES) statistics. The portfolio losses are obtained simulating the default times of obligors and simulating the EADs and LGDs of their assets.