NETCAP vs Scapy

NETCAP converts network packet streams into structured audit records for network analysis, security research, machine learning and forensics. Its free Core edition covers 66+ record types for protocols including TCP, UDP, HTTP, TLS, DNS and DHCP. Core captures live traffic, processes PCAP files, supports distributed collection and HTTP proxy capture, and outputs Protocol Buffers, CSV, JSON streams and Prometheus metrics. It is an open-source CLI under GPL-3.0, with platform binaries and Docker images.

Pro adds interactive graph analysis, a network activity timeline, investigation notes and more than 35 analysis modules. It can flag anomalies in decoded traffic and draft incident reports for editing; the maker says Pro analyzes captures locally without an upload step. Pro is available for macOS, Windows and Linux and includes email support. The plan is listed at $548 a month, with a €48/year option also shown, and a 14-day trial without a credit card. Enterprise has custom pricing and includes unlimited team seats, priority support with an SLA, custom integrations and volume licensing.

Scapy is a free Python packet manipulation program and library for forging or decoding packets, sending and capturing them, and matching requests with replies. It can run as an interactive shell or be used as a library. Listed tasks include scanning, tracerouting, probing, unit tests, attacks and network discovery. Users can set arbitrary field values and stack protocol layers rather than rely on predetermined templates; after a probe, Scapy returns full decoded packets before interpretation for further analysis. It can read and store pcap files, inject invalid frames and custom 802.11 frames, and be extended with protocols and add-ons. Scapy runs on Linux, macOS, BSD and Windows, though Windows installation requires Npcap. Optional plotting needs Matplotlib; TLS decryption and PKI operations need the cryptography package. The code, tests and tools use GPL v2, while the documentation uses CC BY-NC-SA 2.5. Documentation includes installation instructions, usage guides, troubleshooting and an API reference. The project supports only its latest master version, and critical bugs should be reported privately through GitHub’s security tab.