Scapy

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Map view:

Zoom: 100%

More settings

Connection length 100% Label size 100% Node size 100% Line width 100% Label width 100%

Export map as:

Scapy topic overview

The analysis highlights Measurement and Overview as prominent areas in the source structure around Scapy.

Related topics: 13
Source areas: 1
Connected nodes: 14
Extracted relationships: 11
Concept neighborhoods: 13
Bridge connections: 14

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 13 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developers: Gabriel Potter (Lead), Dr. Nils Weiss, Guillaume Valadon, Pierre Lalet
License: GPLv2
Operating system: Cross-platform. See Scapy packaging
Original author: Philippe Biondi
Repository: github.com/secdev/scapy
Stable release: 2.7.0 / 26 December 2025; 7 months ago (2025-12-26)

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Packet Packet (information technology)
Computer networks Computer network
Python Python (programming language)
Packets Network packet
Tracerouting Traceroute
Unit tests Unit testing
Network discovery Network detector
Libpcap Pcap
Wireshark
GUI
GnuPlot
Graphviz
VPython

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Scapy connects Entity context

The extracted context around Scapy shows recurring relationship patterns in the source. For example, Scapy → GitHub, Official Another extracted example is Scapy → Gabriel Potter (Lead), Dr. Nils Weiss, Guillaume Valadon, Pierre Lalet. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to External links · 2

Scapy → GitHub, Official

Developers · 1

Scapy → Gabriel Potter (Lead), Dr. Nils Weiss, Guillaume Valadon, Pierre Lalet

License · 1

Scapy → GPLv2

Operating system · 1

Scapy → Cross-platform. See Scapy packaging

Original author · 1

Scapy → Philippe Biondi

Repository · 1

Scapy → github.com/secdev/scapy

Stable release · 1

Scapy → 2.7.0 / 26 December 2025; 7 months ago (2025-12-26)

Type · 1

Scapy → Packet generator Packet analyzer

Website · 1

Scapy → scapy.net

Written in · 1

Scapy → Python

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

python packet wireshark tool capture interface cross-platform written philippe biondi github website packets tracerouting libpcap gui gnuplot graphviz vpython free

Scapy relationships Subject–Predicate–Object triples

TTTA extracted 11 structured relationships around Scapy. Examples in this analysis include Scapy → Developers → Gabriel Potter (Lead), Dr. Nils Weiss, Guillaume Valadon, Pierre Lalet and Scapy → License → GPLv2. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Scapy	Developers	Gabriel Potter (Lead), Dr. Nils Weiss, Guillaume Valadon, Pierre Lalet	1.00	infobox
Scapy	License	GPLv2	1.00	infobox
Scapy	Operating system	Cross-platform. See Scapy packaging	1.00	infobox
Scapy	Original author	Philippe Biondi	1.00	infobox
Scapy	Repository	github.com/secdev/scapy	1.00	infobox
Scapy	Stable release	2.7.0 / 26 December 2025; 7 months ago (2025-12-26)	1.00	infobox
Scapy	Type	Packet generator Packet analyzer	1.00	infobox
Scapy	Website	scapy.net	1.00	infobox
Scapy	Written in	Python	1.00	infobox
Scapy	related to External links	Official	0.60	section
Scapy	related to External links	GitHub	0.60	section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Scapy bring nearby vocabulary together. In this analysis, examples include Python, Philippe and Packet. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Scapy
- Python
- Philippe
- Packet
- Github
- Gui
- Libpcap
- Originally
- Software
- Website
- Capture
- Cross-platform
- Interface
scapy
- Python
- Philippe
- Packet
- Github
- Gui
- Libpcap
- Originally
- Software
- Website
- Capture
- Cross-platform
- Interface
computer networks
- Free
- Manipulation
- Networks
- Open-source
- Originally
- Portal
- Software
- Biondi
- Philippe
- Tool
- Written
- Packet
packet
- Github
- Originally
- Portal
- Scapy
- Software
- Website
- Cross-platform
- Philippe
- Tool
- Written
- Python
python
- Scapy
- Written
- Gui
- Libpcap
- Software
- Capture
- Cross-platform
- Interface
- Philippe
- Tool
- Wireshark
wireshark
- Interface
- Gnuplot
- Graphviz
- Gui
- Libpcap
- Vpython
- Capture
- Tool
- Python
- Scapy
packets
- Match
- Replies
- Requests
- Send
- Wire
tracerouting
- Also
- Handle
- Like
- Scanning
- Tasks

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the Scapy map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

Scapy

Nodes15

Edges14

Triples11

Avg. degree1.87

Density0.133333

Components1

Source & methodology

TTTA analyzes the structure around Scapy to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Measurement & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Scapy · EN edition · Analysis: TopicsToTalkAbout