GenoGraphiX-Log 2.0 (abbreviation GGXLog) is a keystroke logging software that was developed as a collaboration between HEC Montréal, University of Turku, ITEM and GERAD. This project is mainly focused on combining Text Genetics (Grésillon, 1994) and Graph Theory (West, 1996) with Keystroke Logging in writing studies. Text genetics seeks to gather the material traces of the creative processes, to put them in relation to each other and to the products to which these traces lead; the idea is then to order them in a chronological sequence that reflects the stages of textual elaboration in order to identify the recurring elements and regularities. Graph Theory is a branch of mathematics which studies networks or vertices connected with edges; this can be used to represent data and relationships between the data. Furthermore, GGXLog emphases on using data visualisation (Sinar, 2015) in order to humanize writing data for learning and research. Data visualisation enables faster processing by the human brain, identifications of patterns, corelations, trends and allows the user to interact with the data. The GGXLog software is intended to be used by teachers, students, researchers and writing professionals. GGXLog will record a writing session, store session data and analyse and visualize the session data. The programme stores data as a log (.log) file which can be loaded into the software for analysis and data visualization and as a tab-separated-value (.tsv) file for loading data into spreadsheet or statistical software. Furthermore, informant data, third-party application usage and the final text are stored as support data. The software is based on the Java programming language and will work on Windows and Mac OS~X operating systems.