# jankae/LibreVNA

100kHz to 6GHz 2 port USB based VNA

Repository: https://github.com/jankae/LibreVNA
Canonical: https://ross.abutalabs.com/products/librevna
Language: C++
License: GPL-3.0
License Family: copyleft
Topics: vna, rf
Last push: 2026-07-27T15:13:55+00:00

## Health v2 (maintenance only)
Score: 84/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 94, release rhythm 61, longevity 100
- inputs: {"age_days": 2230, "days_push": 37, "days_rel": 180, "gap_med": 77.5, "n_releases_24m": 5}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1608, forks 284 (observed 2026-08-28T04:05:10.752757+00:00)

## What it is
LibreVNA is an open-source 100kHz to 6GHz two-port USB vector network analyzer, including device firmware and a Qt-based cross-platform control GUI. It supports SCPI-based scripting for automated RF measurements.

## Use cases
- measure S-parameters of RF components up to 6GHz
- characterize antennas and filters with a low-cost VNA
- control a network analyzer from Python via SCPI commands
- run a portable two-port VNA over USB on Windows, Linux, or macOS
- learn RF measurement techniques with open hardware

## When to choose
- you need an affordable open-source VNA covering 100kHz-6GHz
- you want scriptable/SCPI-controlled network analysis
- you want to tinker with or extend VNA hardware and firmware

## When to avoid
- you need measurements above 6GHz or lab-grade calibrated accuracy
- you need a turnkey commercial instrument with vendor support and calibration services

## Facets
- artifact type: application
- maturity: active
- function: gui, developer-tools, sdk
- domain: hardware, developer-tools
- platform: windows, cross-platform, embedded
- tags: vna, rf, vector-network-analyzer, test-equipment, scpi, firmware, open-hardware, s-parameter, linux, macos

## Member repositories
- jankae/LibreVNA (main) score 84

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:10.752757+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 2026-08-30T03:51:34.504570+00:00, confidence not recorded.
  - readme: https://github.com/jankae/LibreVNA (fetched 2026-08-28T04:05:10.752757+00:00, sha 60bef825ee91)
- Data as of 2026-08-30T08:39:29.467469+00:00.