Know Your Spendings Application. 12 account types supported, GTK3-GUI established. Required modules can be found in the requirements.txt and installed via pypi(pip). Mac Users need Homebrew, Windows Users Msys2 to install PyGobject & Gtk3+. More info at: https://digital-souveraenitaet.de/kysa-know-your-spendings-english
Leightweight standalone program to analyse *csv-exported account transactions and sort them into categories based on the classification table (different for German and English). The software returns categorized data as well as various diagrams to get the jist of the data content. Interaction language is german as well as the supported accounts. See also the manual ) for further details.
From Version 2.04 on, it is possible to link csv-data to manually recorded cash transactions in a separate Excel list ("cashbook"). Furthermore preferences can now be saved for the next session.
From version 3.05 on, a machine learning algorithm is established to help categorize transactions. Furthermore single exported account transaction files (csv) can be grouped together by account names and will be stored encrypted. The stored long-term data can be integrated into evaluations by selection and will then be exported to Excel files and diagrams.
Mac executeable available from version 3.06 on. Future work might include a Linux file (Appimage). Currently i'm working on integrating a Dashboard based on Plotly Dash. If you wish to help me, let me know. Any help is appreciated!
Future work will include account data saving and machine learning. If you wish to help me, please give me a message. Any help is appreciated! I'm collecting account raw data csv-files for integration in future releases via mail. If you upload you csv-file, please make sure to delete any personal information (account number, names, transactions etc.)
Stable Windows executeable is available at: https://digital-souveraenitaet.de/kysa-know-your-Spendings (German version) or https://digital-souveraenitaet.de/kysa-know-your-spendings-english (English version)
Donations welcome via: https://liberapay.com/Waldbader
