Skip to content

Force-download and run Windows versions of Steam Linux games using Proton

Notifications You must be signed in to change notification settings

heregoesmarcel/Native2Proton

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

45 Commits
 
 
 
 
 
 

Repository files navigation

Native2Proton

Native2Proton is a runner for forcing the install and execution of Windows versions of Steam games rather than running the native Linux version.

Requires python3 and wget

Using Native2Proton

To clone the repo:

git clone https://github.com/Holston5/Native2Proton.git && cd Native2Proton

Run with ./native2proton.py

The Steam ID for the game you wish to install is required. It can be found in the url of the steam store page for the game.

Detection of your steam install location should be automatic and Native2Proton also includes a wrapper for running winetricks on the prefixes it creates.

Running Native2Proton Games

Games installed with Native2Proton are best added to your Steam client as a non-Steam game. To do this point Steam to the .desktop shortcut created in "~/.local/share/native2proton/launchers" and set the Launch Options for the shortcut to "/home/user/.local/share/native2proton/$steam_app_id/$runner_name.sh

Known limitations & Issues

Not every game will work due to DRM and anti-cheat methods they might employ. Some games might also require additional libraries like corefonts or vcruntimes. These can usually be installed with Native2Proton's builtin winetricks option.

Native2Proton is a wrapper for Proton and the technologies it uses including DXVK. As such all warnings for those applications apply here. Some technologies in DXVK have been known to get players banned where the game uses anti-cheat technology. Use DXVK and Native2Proton at your own risk.

About

Force-download and run Windows versions of Steam Linux games using Proton

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 97.7%
  • Shell 2.3%