Backdash 🕹️

Highly configurable and extensible implementation of Rollback Netcode with full asynchronous IO.

Heavily inspired by GGPO.

Overview

Traditional techniques account for network transmission time by adding delay to a players input, resulting in a sluggish, laggy game-feel. Rollback networking uses input prediction and speculative execution to send player inputs to the game immediately, providing the illusion of a zero-latency network. Using rollback, the same timings, reactions, visual and audio queues, and muscle memory your players build up playing offline will translate directly online. Backdash is designed to make incorporating rollback networking (aka. Rollback Netcode) into new and existing games as easy as possible.

Getting started

NuGet package available:

$ dotnet add package Backdash

Tip

💡 Please check the DOCUMENTATION for usage details.

Demos:

Title	Link
Terminal
Monogame Local
Monogame Lobby
Godot Lobby
Save/Load Replay
Fighting Game

Samples

Check the samples on the /samples directory:

There are examples for up to 4 players:

• Simple console game
• Monogame SpaceWar ¹
• Monogame SpaceWar with lobby over internet ²¹
• Godot SpaceWar with lobby over internet

Building from source

You need to have installed .NET 10 SDK

1. Clone this repository.
2. Restore tools
   • On the root directory run: dotnet tool restore
3. Building Library (root directory)
   • SDK only: dotnet nuke build --configuration Release
     • Alternatively, open the solution file Backdash.slnx on your IDE.
   • SDK and samples dotnet nuke build-samples --configuration Release.
     • Alternatively, open the solution file Samples/Backdash.Samples.slnx on your IDE.

Licensing

Backdash is available under The MIT License. This means Backdash is free for commercial and non-commercial use.

Attribution is not required but appreciated.

Footnotes

1. If you are using ARM macOS you may need the x64 version of .NET SDK to build some samples. ↩ ↩²

2. The sample needs a web server to exchange players' addresses. check the sample README.md for more information. ↩