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About the developer

gscept
242 Stars 13 Forks Other 2.6K Commits 5 Opened issues

Description

Nebula is an open-source and free-to-use modern C++ game engine.

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Contributors list

# 362,425
Java
fips
C++
game-en...
748 commits
# 409,936
Java
fips
C++
game-en...
444 commits

Nebula engine

CI

Get in contact on Discord! https://discord.gg/wuYPxUF

Check out the documentation (WIP) here: https://gscept.github.io/nebula-doc/

Requirements

  1. OS: Windows and Linux(WIP)
  2. Compiler with support for C++17.
  3. GPU and drivers supporting Vulkan 1.2+
  4. CMake 3.13+
  5. Python 3.5+
    • Python requirements (Windows):
      1. Matching architecture (64-bit if you're building for 64-bit systems)
      2. Installed for all users
      3. Added to PATH
      4. Installed with debugging symbols and binaries

Setup

Setup config

  1. ./fips set config vulkan-win64-vstudio-debug
    in your project directory

Build project

In your project directory:

  1. fips fetch
  2. fips physx build win-vs16
    (if you are running VS 2017, use
    win-vs15
    instead)
  3. fips anyfx setup
  4. fips build
  5. fips physx deploy

Set environment variables

Remember to run

fips nebula
verb to set work and toolkit directory registry variables:
  • fips nebula set work {PATH}
  • fips nebula set toolkit {PATH}

Features

Nebula is being developed continuously, which means that features keep getting added all the time. Currently, we support this:

  • Completely data-driven design from bottom to top.
  • Data structure suite, from containers to OS wrappers, everything is designed for performance and minimal call stacks.
  • Multithreading.
  • SSE-accelerated and intuitive maths library.
  • Full python supported scripting layer.
  • Advanced rendering framework and shaders.
  • Test-benches and benchmarking.
  • Profiling tools.

Rendering

A lot of effort has been made to the Nebula rendering subsystem, where we currently support:

  • Unified clustering system - fog volumes, decals and lights all go into the same structure.
  • Screen-space reflections - working condition, but still work in progress.
  • SSAO - Horizon-based ambient occlusion done in compute.
  • Physically based materials and rendering.
  • Multi-threaded subpass recording.
  • Shadow mapping for local lights and CSM for global/directional/sun light.
  • Volumetric fog and lighting.
  • Geometric decals.
  • CPU-GPU hybrid particle system.
  • Skinning and animation.
  • Scripted rendering path.
  • Vulkan.
  • Tonemapping.
  • Asynchronous compute.
  • Virtual texturing using sparse binding.
  • Fast and conservative GPU memory allocation.

Entity system

Nebula has historically had a database-centric approach to entities. With the newest iteration of Nebula, we've decided to keep improving by adopting an ECS approach, still keeping it database-centric.

  • Data-oriented
  • Data-driven
  • Minimal memory overhead per entity.
  • High performance without compromising usability or simplicity
  • Blueprint and template system for easily instantiating and categorizing entity types.
  • Automatic serialization and deserialization

Screenshots

Deferred Lighting using 3D clustering and GPU culling. Deferred Lighting using 3D clustering and GPU culling Geometric decals, culled on GPU and rendered in screen-space. Geometric decals, culled and calculated entirely on GPU Volumetric fog lighting. Volumetric fog lighting Local fog volumes. Local fog volumes Profiling tools. Profiling

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