# angryip/ipscan

Angry IP Scanner - fast and friendly network scanner

Repository: https://github.com/angryip/ipscan
Canonical: https://ross.abutalabs.com/products/ipscan
Language: Java
License: GPL-2.0
License Family: copyleft
Last push: 2026-06-12T14:31:17+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 87, release rhythm 44, longevity 100
- inputs: {"age_days": 5545, "days_push": 82, "days_rel": 296, "gap_med": 83, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5091, forks 831 (observed 2026-08-28T04:09:09.640318+00:00)

## What it is
Angry IP Scanner is a fast, open-source IP address and port scanner with a friendly GUI built on Eclipse SWT. It scans networks for hosts, open ports, and other device information across Linux, Windows, and macOS.

## Use cases
- scan a local network for active devices
- find open ports on hosts in an IP range
- discover devices connected to my router
- audit which IPs are in use on a subnet
- check if a specific port is reachable on remote machines
- inventory devices on a network with a GUI tool

## When to choose
- you need a fast, cross-platform GUI network scanner
- you want a simple tool to enumerate live hosts and open ports
- you prefer a lightweight Java app that runs on Linux, Windows, and macOS

## When to avoid
- you need deep vulnerability scanning or penetration testing features
- you require scriptable headless scanning in CI pipelines
- you need wireless-specific discovery like Wi-Fi channel analysis

## Facets
- artifact type: application
- maturity: active
- function: networking, security, gui, developer-tools
- domain: networking, security, developer-tools, cross-platform
- platform: windows, jvm, cross-platform
- tags: network-scanner, ip-scanner, port-scanner, swt, network-administration, linux, macos, desktop

## Member repositories
- angryip/ipscan (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:09.640318+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 2026-08-29T18:02:32.022193+00:00, confidence not recorded.
  - readme: https://github.com/angryip/ipscan (fetched 2026-08-28T04:09:09.640318+00:00, sha e3805b9cf485)
- Data as of 2026-08-30T08:39:29.467469+00:00.