zwo

Zwift Workout Editor

Reference documentation for the Zwift workout file format

Adaptive cycling training planner: 7 science-grounded injury-prevention guardrails close the loop between planned and actual training. 4,232 ZWO workouts, 622 routes, hardware-agnostic.

A simple, responsive web interface to control an allsky camera connected to a Raspberry Pi

indoor cycling workout creator. It generates .mrc, .erg, .zwo and .fit files from an specific text input file.

Open-source, local-first training platform: calendar, AI assistant, Garmin & WHOOP sync — plus a TypeScript SDK, CLI, and MCP server for FIT, TCX, ZWO, and Garmin Connect workout files.

Modern, type-safe, zero-dependency python library for controlling ZWO ASI astronomical cameras

Python binding for the ZWO ASI SDK library.

ZWO ASI drivers written in Rust

ZWO ASI224 camera focuser.

A native macOS application for connecting cameras for astrophotography, plan sessions and see the results. Still in dev mode.

Wi-Fi wedge hack, mount control, and recovery tools for the ZWO Seestar S50 smart telescope.

Automatization around Siril and ASIAIR for deep sky astrophotography.

Optimize Zwift workout files (.zwo) for maximum XP by replacing low-XP with high-XP blocks

ZWO Seestar telescope integration for Home Assistant — add-on bundling the seestar_alp driver + an MQTT bridge (telemetry, stacked preview, live view, safety-gated controls)

Commercial-grade automated training plan pipeline. Block-builder coaching engine (April 2026): questionnaire → 600 ZWO workout variations → HTML guide → PDF → delivery. 641 tests. Live on Railway.

Makes a non-ZWO focuser appear to a ZWO ASIAIR as a genuine EAF. ESP32-S3 firmware, with the same protocol model mirrored in Python.

Remote controller for ZWO ASI camera

Async Python client library for the ZWO Seestar S50 telescope API — enables full programmatic control.