# avahi/avahi

Avahi - Service Discovery for Linux using mDNS/DNS-SD -- compatible with Bonjour

Repository: https://github.com/avahi/avahi
Canonical: https://ross.abutalabs.com/products/avahi
Homepage: https://www.avahi.org
Language: C
License: LGPL-2.1
License Family: copyleft
Last push: 2026-08-26T12:24:39+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 8, longevity 100
- inputs: {"age_days": 4299, "days_push": 7, "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 1543, forks 374 (observed 2026-08-28T04:05:01.171109+00:00)

## What it is
Avahi is a free LGPL implementation of mDNS/DNS-SD (Zeroconf) service discovery for Linux, compatible with Apple Bonjour. It provides a daemon plus C APIs (avahi-core, avahi-client, D-Bus) for browsing and publishing network services on local networks.

## Use cases
- discover printers on the local network
- publish a service so other devices can find it via Bonjour
- resolve .local hostnames with mDNS
- add Zeroconf service discovery to a Linux application
- find file shares or chat peers on a LAN
- embed mDNS/DNS-SD into an embedded appliance

## When to choose
- you need Bonjour-compatible Zeroconf on Linux or BSD
- you want a mature, widely packaged mDNS daemon with D-Bus APIs
- you are building embedded devices that advertise services on a LAN

## When to avoid
- you need Windows support, which is not ported
- you need wide-area service discovery rather than local-link mDNS
- you want a pure userspace library without a system daemon

## Facets
- artifact type: service
- maturity: stable
- function: networking, service-discovery, sdk
- domain: networking, developer-tools, operating-systems
- platform: bsd, c, cross-platform
- tags: mdns, dns-sd, zeroconf, bonjour, dbus, local-network, linux

## Member repositories
- avahi/avahi (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:01.171109+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 2026-08-30T04:30:40.668282+00:00, confidence not recorded.
  - readme: https://github.com/avahi/avahi (fetched 2026-08-28T04:05:01.171109+00:00, sha 93707ef5049d)
  - homepage: https://www.avahi.org (fetched 2026-08-29T11:31:57.019526+00:00, sha 4f379b3b5df0)
  - site_page: https://avahi.org/doxygen/html (fetched 2026-08-29T11:31:57.028581+00:00, sha dcd0426c3ccf)
- Data as of 2026-08-30T08:39:29.467469+00:00.