# bemasher/rtlamr

An rtl-sdr receiver for Itron ERT compatible smart meters operating in the 900MHz ISM band.

Repository: https://github.com/bemasher/rtlamr
Canonical: https://ross.abutalabs.com/products/rtlamr
Language: Go
License: AGPL-3.0
License Family: copyleft
Topics: rtl-sdr, go, smart, meter, amr
Last push: 2026-07-25T22:12:48+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 94, release rhythm 49, longevity 100
- inputs: {"age_days": 4590, "days_push": 39, "days_rel": 130, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2531, forks 274 (observed 2026-08-28T04:06:58.830275+00:00)

## What it is
A Go-based software-defined radio receiver that decodes Itron ERT smart meter transmissions in the 900MHz ISM band using an inexpensive rtl-sdr dongle. It lets users non-invasively record and analyze their household utility consumption data.

## Use cases
- read my smart meter consumption with an rtl-sdr dongle
- decode Itron ERT SCM messages from a 900MHz meter
- log household utility usage data locally
- capture interval data messages from smart meters
- monitor my own gas or electric meter wirelessly

## When to choose
- you have an rtl-sdr dongle and an Itron ERT-compatible smart meter
- you want a simple command-line receiver for SCM, SCM+, IDM, or NetIDM messages
- you want to self-host your own consumption data collection

## When to avoid
- your meter uses a protocol other than Itron ERT
- you need a polished GUI or cloud dashboard rather than raw message output
- you lack an rtl-sdr receiver or rtl_tcp setup

## Facets
- artifact type: cli-tool
- maturity: active
- function: parser, cli, developer-tools
- domain: iot, hardware
- platform: windows, go, cli
- tags: rtl-sdr, software-defined-radio, smart-meters, ert, ism-band, radio-decoding, automation, linux, macos

## Member repositories
- bemasher/rtlamr (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:58.830275+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 2026-08-30T02:25:19.334099+00:00, confidence not recorded.
  - readme: https://github.com/bemasher/rtlamr (fetched 2026-08-28T04:06:58.830275+00:00, sha 5134be5f5954)
- Data as of 2026-08-30T08:39:29.467469+00:00.