**NOTE: If you are running an Ubuntu-based, Fedora, or Arch-based, the build script will automatically detect and prompt you to install missing build dependencies. If you run into any issues with this please report them!**
Once done, proceed to the [installation](#source).
If you do not wish to compile anything, simply download the file under [Releases](https://github.com/flightlessmango/MangoHud/releases), extract it, and run `./mangohud-setup.sh install` from within the extracted folder.
If you are using an Arch-based distribution, install [`mangohud`](https://aur.archlinux.org/packages/mangohud/) and [`lib32-mangohud`](https://aur.archlinux.org/packages/lib32-mangohud/) with your favourite AUR helper. [`mangohud-git`](https://aur.archlinux.org/packages/mangohud-git/) and [`lib32-mangohud-git`](https://aur.archlinux.org/packages/lib32-mangohud-git/) are also available on the AUR if you want the up-to-date version of MangoHud.
If you are using Flatpaks, you will have to add the [FlatHub repository](https://flatpak.org/setup/) for your specific distribution, and then, to install it, execute:
MangoHud comes with a config file which can be used to set configuration options globally or per application. The priorities of different config files are:
You can also customize the hud by using the `MANGOHUD_CONFIG` environment variable while separating different options with a comma. This takes priority over any config file.
A partial list of parameters are below. See the config file for a complete list.
When you toggle logging (using the keybind `F2`), a file is created with your chosen name (using `MANGOHUD_OUTPUT`) plus a date & timestamp.
This file can be uploaded to [Flightlessmango.com](https://flightlessmango.com/games/user_benchmarks) to create graphs automatically.
you can share the created page with others, just link it.
#### Multiple log files
It's possible to upload multiple files when using [Flightlessmango.com](https://flightlessmango.com/games/user_benchmarks). You can rename them to your preferred names and upload them in a batch.
These filenames will be used as the legend in the graph.