Python | Fsuipc

Integrating Python with FSUIPC (Flight Simulator Universal Inter-Process Communication) is a powerful way for developers to interact with the internal data of flight simulators like Microsoft Flight Simulator (MSFS) , and FSX. The "fsuipc" Python Package Review

The most common way to bridge these two is the fsuipc Python client wrapper , which acts as a middleman between your Python scripts and the FSUIPC tool. Pros

Deep Integration: It allows you to read and write "offsets"—hexadecimal memory locations that represent everything from aircraft speed and fuel levels to switch positions and light statuses. fsuipc python

Simplicity: The package provides a clean, Pythonic wrapper around the older pyuipc and Pete Dowson's original C-based libraries, making complex memory operations feel like standard Python.

Versatility: It supports building a wide range of external tools, such as custom ACARS clients, external gauges, and even hardware bridges for Linux users via tools like wineUIPC . Cons The Role of Python: Simplicity Meets Power While

Dependency on FSUIPC: You must have a version of FSUIPC (like FSUIPC7 for MSFS) installed and running. Some advanced features of FSUIPC itself require a paid registration.

Platform Limits: The standard package is primarily designed for Windows environments where the flight simulator and FSUIPC are running. Basic usage pattern (pseudo-code)

Complexity of Offsets: While the Python code is simple, you still need to understand the FSUIPC offset map, which requires digging through documentation to find specific hex addresses (e.g., 0x0330 for ground speed). Popular Alternatives & Libraries tjensen/fsuipc: Python client wrapper for FSUIPC - GitHub

The Role of Python: Simplicity Meets Power

While FSUIPC was traditionally accessed via C++ or Delphi, Python has emerged as the ideal partner for rapid prototyping and data science in simulation. Python’s clear syntax, dynamic typing, and vast ecosystem of libraries (NumPy for calculations, Matplotlib for visualization, PyQt for GUIs) make it far more accessible than compiled languages. For flight simulation, this means a developer can write a working script to log engine parameters in under 50 lines of code, or build a custom autopilot override in an afternoon. The key enabler is the pyFSUIPC library (along with its predecessor FSUIPCclient by Justin Teller), which wraps the FSUIPC DLL calls into intuitive Python objects.

6. Common FSUIPC Offsets for Python

| Parameter | Offset | Type | Size | |-----------|--------|------|------| | Airspeed (knots) | 0x02BC | int | 4 | | Altitude (feet) | 0x0570 | int | 4 | | Latitude | 0x0560 | double | 8 | | Longitude | 0x0568 | double | 8 | | Heading (degrees) | 0x0580 | int | 4 | | Engine RPM (engine 1) | 0x08B8 | float | 4 | | Parking brake (0=off, 1=on) | 0x0BC8 | byte | 1 |

Basic usage pattern (pseudo-code)

Example (conceptual):

from fsuipc import FSUIPC
with FSUIPC() as ipc:
    # read an offset
    airspeed = ipc.read_offset(offset_id_for_airspeed, data_type)
    # write a control/event
    ipc.write_event(event_id_for_landing_gear_toggle)
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