NETCAP vs PacketSnitch
NETCAP
netcap.ioPacketSnitch
packetsnitch.comSide by side
| Figure | NETCAP | PacketSnitch |
|---|---|---|
| Price from | €49/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 3 | 1 |
| Spec score · Network Packet Analyzer Software | 9.2 (#2) | 8.3 (#9) |
| Spec score · Network Protocol Analyzers | 9.1 (#2) | 8.2 (#8) |
| Headquarters | Amsterdam, Netherlands | Arden, North Carolina, United States |
| Local processing | The download page says the Pro macOS application runs against local captures without an upload step. | The maker says packet captures are parsed locally and remain under the user's control unless the user chooses diagnostic transmission or third-party services. |
| Purpose | NETCAP converts network packet streams into structured audit records for network analysis, security research, machine learning, and forensics. | PacketSnitch analyzes PCAP and PCAPNG captures and surfaces searchable, protocol-aware intelligence for security professionals, developers, and researchers. |
| Support | Pro includes email support, Enterprise offers priority support with an SLA, and Core lists community support. | The maker directs questions and support requests to [email protected]. |
| What it does | NETCAP converts live network traffic or PCAP files into structured, type-safe audit records for security research, forensics, monitoring and machine-learning workflows. | PacketSnitch turns PCAP and PCAPNG captures into searchable, protocol-aware intelligence for network investigation. |
Plans
In their own words
NETCAP
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.
PacketSnitch
PacketSnitch is a desktop application for investigating network traffic in PCAP and PCAPNG captures. It turns files into searchable, protocol-aware information and can extract hosts, credentials, certificates, files, locations, protocols, anomalies and threat-intelligence hits. Analysis tools include stream reconstruction, protocol decoding, complex filters, visualizations, threat-intelligence scoring, file carving, GeoIP enrichment and capture workspaces. Traffic decryption, flow analysis and CLI tools are also listed. ZIP-packaged plugins can be installed through Settings. The bundled Python backend parses captures locally, and the maker says captures are not uploaded. Optional network activity includes configured LLM calls, threat-intelligence lookups and anonymous metrics; metrics can be disabled in Settings. Optional LLM analysis supports Ollama, OpenRouter and Cohere when configured. New installations get full features in Demo mode for 30 days, then move to Free mode with core analysis and reduced functionality. Prebuilt installers are available for Windows 10/11 and Linux DEB or RPM distributions. macOS has no signed installer, though running from source is described. The maker says analysis outputs may not be accurate or complete and should be independently validated before consequential use.