  There is currently an increasing demand for cryptoasset analysis tools among
cryptoasset service providers, the financial industry in general, as well as
across academic fields. At the moment, one can choose between commercial
services or low-level open-source tools providing programmatic access. In this
paper, we present the design and implementation of another option: the
GraphSense Cryptoasset Analytics Platform, which can be used for interactive
investigations of monetary flows and, more importantly, for executing advanced
analytics tasks using a standard data science tool stack. By providing a
growing set of open-source components, GraphSense could ultimately become an
instrument for scientific investigations in academia and a possible response to
emerging compliance and regulation challenges for businesses and organizations
dealing with cryptoassets.
