# lsalzman/enet

ENet reliable UDP networking library

Repository: https://github.com/lsalzman/enet
Canonical: https://ross.abutalabs.com/products/enet
Language: C
License: MIT
License Family: permissive
Last push: 2026-06-23T19:17:35+00:00

## Health v2 (maintenance only)
Score: 72/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 89, release rhythm 35, longevity 100
- inputs: {"age_days": 5233, "days_push": 71, "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 3260, forks 729 (observed 2026-08-28T04:07:52.619490+00:00)

## What it is
ENet is a C library providing reliable UDP networking with features like channels, reliability, and congestion control. It is designed for real-time multiplayer games and other latency-sensitive applications.

## Use cases
- build a multiplayer game server over UDP
- send reliable and unreliable messages over a single connection
- implement low-latency real-time communication without TCP overhead
- add networking to a game engine in C or C++
- create a lightweight client-server protocol

## When to choose
- you need reliable UDP with low latency for games or real-time apps
- you want a small, simple C library with minimal dependencies
- you need both reliable and unreliable channels on one connection

## When to avoid
- you need full TCP-style streaming or HTTP semantics
- you want a high-level game networking framework with matchmaking and serialization
- you need encryption built in without adding another layer

## Facets
- artifact type: library
- maturity: stable
- function: networking, concurrency
- domain: networking
- platform: cross-platform, c, cpp
- tags: udp, reliable-udp, game-networking, low-latency, c-library, game-development, real-time

## Member repositories
- lsalzman/enet (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:52.619490+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 2026-08-29T18:43:52.458631+00:00, confidence not recorded.
  - readme: https://github.com/lsalzman/enet (fetched 2026-08-28T04:07:52.619490+00:00, sha 30355fcc7dba)
- Data as of 2026-08-30T08:39:29.467469+00:00.