# schollz/howmanypeoplearearound

Count the number of people around you :family_man_man_boy: by monitoring wifi signals :satellite:

Repository: https://github.com/schollz/howmanypeoplearearound
Canonical: https://ross.abutalabs.com/products/howmanypeoplearearound
Language: Python
License: MIT
License Family: permissive
Topics: tshark, wifi, location, sensor
Last push: 2024-08-17T14:14:41+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3401, "days_push": 746, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7088, forks 384 (observed 2026-08-28T04:09:55.844475+00:00)

## What it is
A Python CLI tool that estimates how many people are nearby by sniffing WiFi probe requests from smartphones using tshark. It works with monitor-mode WiFi adapters and is suitable for setups like Raspberry Pi foot-traffic monitoring.

## Use cases
- count people nearby by sniffing wifi probe requests
- monitor foot traffic with a raspberry pi
- check if my roommates are home
- estimate smartphone density in an area
- detect nearby cellphones via wifi signals

## When to choose
- you have a monitor-mode WiFi adapter and tshark installed
- you want a lightweight passive presence counter on Linux or macOS
- you're building a Raspberry Pi-based foot-traffic sensor

## When to avoid
- monitoring networks you don't own - it may be illegal in your jurisdiction
- you need precise people counts rather than smartphone-based estimates
- you need a solution that works without special WiFi hardware

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: monitoring, networking, analytics
- domain: security, iot, analytics
- platform: python, cli, iot
- tags: wifi-sniffing, tshark, probe-requests, foot-traffic, privacy-sensitive, raspberry-pi, command-line, linux, macos

## Member repositories
- schollz/howmanypeoplearearound (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:55.844475+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 2026-08-29T17:40:10.661752+00:00, confidence not recorded.
  - readme: https://github.com/schollz/howmanypeoplearearound (fetched 2026-08-28T04:09:55.844475+00:00, sha 30d9d89ae97c)
  - registry_pypi: https://pypi.org/pypi/howmanypeoplearearound/json (fetched 2026-08-29T08:35:50.004703+00:00, sha 95fd4eead1f1)
- Data as of 2026-08-30T08:39:29.467469+00:00.