# espressif/esp-csi

Applications based on Wi-Fi CSI (Channel state information), such as indoor positioning, human detection

Repository: https://github.com/espressif/esp-csi
Canonical: https://ross.abutalabs.com/products/esp-csi
Language: Shell
License: Apache-2.0
License Family: permissive
Last push: 2026-04-22T08:07:36+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 78, release rhythm 35, longevity 100
- inputs: {"age_days": 2020, "days_push": 133, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1520, forks 230 (observed 2026-08-28T04:04:57.581976+00:00)

## What it is
Espressif's official examples and tools for Wi-Fi Channel State Information (CSI) on ESP32-series chips, enabling non-contact wireless sensing. It includes sample applications for CSI data acquisition, indoor positioning, and human activity detection.

## Use cases
- indoor positioning with wifi csi
- detect human presence without cameras
- sense breathing and motion via wifi signals
- get started with esp32 csi data collection
- build smart environment monitoring with esp32
- use wifi channel state information for activity recognition

## When to choose
- you use ESP32-series hardware and want Wi-Fi sensing or CSI-based positioning
- you need vendor-supported examples and documentation for CSI on ESP32
- you want to prototype non-contact sensing without extra hardware

## When to avoid
- you need CSI on non-Espressif Wi-Fi hardware
- you require production-ready, certified sensing solutions rather than examples
- your project does not involve Wi-Fi sensing at all

## Facets
- artifact type: library
- maturity: active
- function: sdk, nlp, machine-learning, developer-tools
- domain: iot, embedded-systems, hardware
- platform: embedded, iot, c, cpp
- tags: wifi-csi, esp32, channel-state-information, indoor-positioning, human-detection, wireless-sensing, espressif, non-contact-sensing

## Member repositories
- espressif/esp-csi (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:57.581976+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 2026-08-30T04:31:54.395037+00:00, confidence not recorded.
  - readme: https://github.com/espressif/esp-csi (fetched 2026-08-28T04:04:57.581976+00:00, sha 8fa8951388fa)
- Data as of 2026-08-30T08:39:29.467469+00:00.