# deepfence/FlowMeter

⭐ ⭐  Use ML to classify flows and packets as benign or malicious. ⭐ ⭐

Repository: https://github.com/deepfence/FlowMeter
Canonical: https://ross.abutalabs.com/products/flowmeter
Language: Go
License: Apache-2.0
License Family: permissive
Topics: forensics-tools, machine-learning, network-security, packet-analyser, tcpdump-like, infosectools, security-tools, machine-learning-projects, awesome, data-science, machinelearning, machinelearningproject, pcap, security, network-analysis, data-science-projects, hacktoberfest
Archived: true
Last push: 2025-02-19T05:22:39+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 7, release rhythm 35, longevity 100
- inputs: {"age_days": 1842, "days_push": 560, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1193, forks 221 (observed 2026-08-28T04:03:56.454880+00:00)

## What it is
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
- artifact type: cli-tool
- maturity: active
- function: machine-learning, networking, security, analytics
- domain: security, machine-learning, networking
- platform: windows, go
- tags: pcap-analysis, network-forensics, traffic-classification, intrusion-detection, packet-analysis, linux, macos, docker

## Member repositories
- deepfence/FlowMeter (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:56.454880+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:22:13.412598+00:00, confidence not recorded.
  - readme: https://github.com/deepfence/FlowMeter (fetched 2026-08-28T04:03:56.454880+00:00, sha bb4dfab5f55a)
- Data as of 2026-08-30T08:39:29.467469+00:00.