Enforcing reproducible and consistent research can be difficult. It is, however, also a crucial requirement to quickly iterate through novel ideas. Reproducibility is not always possible, for example when using medical data that is not publicly available, but a pipeline to test new datasets and investigate existing open source datasets can be very useful. In a joint work with the research group Data Mining in Medicine of Ludwig-Maximilians-Universität München we have built a framework focusing on generating and classifying time series data.

Proudly introducing the Packet Viewer (and Manipulator), a Wireshark-like protocol sniffer and decoder with live packet manipulation, sending and replaying capabilities. Before diving in, let’s recap some basics first. If you’re familiar with Scapy, feel free to skip to “A TUI for Scapy” right away. Short introduction to Scapy Scapy is a framework for network packet manipulation. It is written in Python and supports Python 2 (still) and 3. It is very flexible and can not only be used to receive packets but also to send packets.