deepfence/FlowMeter

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

1193 stars · 221 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

FlowMeter is a Go utility that analyzes network packet headers, groups packets into flows, and uses machine learning to classify flows as benign or malicious. It produces rich flow statistics files and serves as a pre-filter before deeper layer-7 analysis.

Use cases

• classify network traffic as benign or malicious with machine learning
• analyze pcap files and extract flow statistics
• pre-filter packets before deep packet inspection
• label network flows for security forensics
• build ML models on network packet data
• detect malicious flows from packet headers

When to choose

• you need fast ML-based classification of network flows from pcap captures or live traffic
• you want to reduce traffic volume requiring deeper layer-7 analysis
• you need tcpdump-like packet analysis with flow statistics output

When to avoid

• you need full deep packet inspection or layer-7 protocol analysis
• you need a real-time inline intrusion prevention system rather than an analysis utility
• you need a GUI-based network analyzer like Wireshark

Facets

cli-tool · maturity active

machine-learning networking security analytics security machine-learning networking windows go pcap-analysis network-forensics traffic-classification intrusion-detection packet-analysis linux macos docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="deepfence/FlowMeter")