Cryptoasset Analytics Platform

GraphSense is a cryptoasset analytics platform with an emphasis on full data sovereignty, algorithmic transparency, and scalability. GraphSense is open source and free. It provides a dashboard for interactive investigations and, more importantly, full data control for executing advanced analytics tasks.

Supported currencies

GraphSense supports major cryptocurrencies like Bitcoin, Bitcoin Cash, Litecoin, and Zcash as well as other UTXO model currencies.




An example Bitcoin address, its connections and statistics.

System Description / White paper

Haslhofer, B., Stütz, R., Romiti, M., & King, R. (2021). GraphSense: A general-purpose cryptoasset analytics platform. Arxiv pre-print. (pdf)

    title = {GraphSense: A General-Purpose Cryptoasset Analytics Platform}, 
    author = {Bernhard Haslhofer and Rainer Stütz and Matteo Romiti and Ross King},
    year = {2021},
    journal = {Arxiv pre-print},
    url = {}


GraphSense has already been used in several scientific studies to evaluate cryptocurrency data.

Romiti, M., Victor, F., Moreno-Sanchez, P., Nordholt, P., Haslhofer, B., & Maffei, M. (2021). Cross-layer deanonymization methods in the lightning protocol. Financial cryptography and data security (FC 2021). (pdf)

Stütz, R., Gaži, P., Haslhofer, B., & Illum, J. (2020). Stake shift in major cryptocurrencies: An empirical study. Financial cryptography and data security (FC 2020). (pdf)

Paquet-Clouston, M., Romiti, M., Haslhofer, B., Charvat, T. Spams meet Cryptocurrencies: Sextortion in the Bitcoin Ecosystem Advances in Financial Technologies, 2019. (pdf)

Romiti, M., Judmayer, A., Zamyatin, A., Haslhofer, B. A Deep Dive into Bitcoin Mining Pools: An Empirical Analysis of Mining Shares. Workshop on the Economics of Information Security, 2019. (pdf)

Paquet-Clouston, M., Haslhofer, B., & Dupont, B. Ransomware payments in the bitcoin ecosystem. Journal of Cybersecurity, 5 (1). (pdf)

Filtz, E., Polleres, A., Karl, R., Haslhofer, B.: Evolution of the Bitcoin Address Graph - An Exploratory Longitudinal Study. International Data Science Conference (DSC 2017), Salzburg, Austria, 2017. (pdf)

Core Team