GitHub Repository Explorer

Topic: unity_performance_tests 694 repos

data as of 25.09.2026

Deterministic Unity & Godot framework for rollback. lockstep & server-authoritative multiplayer. Engine-agnostic pure C# core. FP64 fixed-point math. ECS. physics. navigation. and replays — frame-perfect. cross-platform reproducible.

★ 60 4d ago

Hive. an open source game server framework designed to provide a high-performance. highly scalable and highly free game back-end server development process. (Includes an official sample implementation)

★ 33 218d ago

FlowEnt is a library set to change the paradigm on how scripting animations work. and how a developer interacts with them. by separating the tweening options from the motions of the animation.

★ 32 181d ago

The DevAccelerationSystem helps to enable features to speed up development iteration from code perspective. It includes ProjectCompilation checks for all your target platforms with different scripting define symbols combinations in your project.

★ 27 3d ago

Unitys Data Oriented Technology Stack (DOTS) multiplayer netcode layer - a high level netcode system built on entities. This package provides a foundation for creating networked multiplayer applications within DOTS. 📦 [Mirrored from UPM. not affiliated with Unity Technologies.]

★ 22 9d ago

A high-performance A* implementation for 2D grid navigation. designed primarily for game development (especially Unity) but fully compatible with any .NET project.

★ 16 92d ago

Init(args) Lite extends the MonoBehaviour class with the ability to receive arguments from the outside during their initialization. before the code in their Awake and OnEnable methods execute.

★ 11 727d ago

The Animation package defines a new animation system entirely written in C# based on our Data-Oriented Technology Stack. This is a highly experimental package which should NOT be considered suitable for production. 📦 [Mirrored from UPM. not affiliated with Unity Technologies.]

★ 10 1291d ago

[Mirrored from UPM. not affiliated with Unity Technologies.] 📦 The AI Planner includes authoring tools and a system for automated decision-making.Automated planners are useful for:▪ Directing agent behavior either in a cooperative. neutral. or adversarial capacity▪ Auto-generating storylines or as an online story manager▪ Validating game design mechanics▪ Assisting in creating tutorials▪ Automated testingStart by defining a domain definition of traits/enumerations. Then. create action definitions for what actions are possible in the domain. Once the planning problem is defined. the planner system will iteratively build a plan that converges to an optimal solution. Execute these plans by adding a decision controller to your agent.

★ 9 2046d ago

"Triangoll". kill everyone. survive. win! This is a game where you can kill other "Triangolls" in 2 differents modes: Singleplayer and Multiplayer. Let's Go!

★ 9 664d ago