# zoffline/zwift-offline

Use Zwift offline

Repository: https://github.com/zoffline/zwift-offline
Canonical: https://ross.abutalabs.com/products/zwift-offline
Language: Python
License: AGPL-3.0
License Family: copyleft
Last push: 2026-06-02T12:53:31+00:00

## Health v2 (maintenance only)
Score: 88/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 85, release rhythm 86, longevity 100
- inputs: {"age_days": 3202, "days_push": 92, "days_rel": 99, "gap_med": 12, "n_releases_24m": 52}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1358, forks 200 (observed 2026-08-28T04:04:29.628585+00:00)

## What it is
zoffline is a partial reimplementation of the Zwift game server that lets users run the Zwift cycling app entirely offline. It includes a launcher with extras like riding against ghosts of previous rides and map selection, and supports single or multiple local profiles.

## Use cases
- ride Zwift without an internet connection or subscription server
- run a local Zwift server on a LAN for offline training
- race against ghosts of my previous Zwift rides
- choose a specific Zwift map without editing config files
- host multiple Zwift profiles on a home server

## When to choose
- you want to use Zwift offline with progress stored locally
- you want extra features like ghosts and easy map selection
- you prefer self-hosting on Windows, Linux, macOS, or Docker

## When to avoid
- you want official online multiplayer racing with other Zwift users
- you need a fully supported, warranty-compliant setup with Zwift's servers
- you are unwilling to redirect Zwift's client to a local server

## Facets
- artifact type: service
- maturity: active
- function: http-server, networking, simulation, game
- domain: gaming-tools, self-hosted, simulation
- platform: windows, python, self-hosted
- tags: zwift, offline-server, cycling, indoor-training, game-server-emulation, ghost-riding, linux, macos, docker

## Member repositories
- zoffline/zwift-offline (main) score 88

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:29.628585+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 2026-08-30T04:41:47.830189+00:00, confidence not recorded.
  - readme: https://github.com/zoffline/zwift-offline (fetched 2026-08-28T04:04:29.628585+00:00, sha 6ced1785a62c)
- Data as of 2026-08-30T08:39:29.467469+00:00.