# 🧬 Why A New Physics Simulator
Compared to prior simulation platforms, here we highlight several key features of Genesis:
- 🐍 **Pythonic** and fully transparent. Genesis is developed and fully open-source in python, making code understanding and contribution way more easier.
- 👶 **Effortless installation** and **extremely simple** and **user-friendly** API design.
- 🚀 **Parallelized simulation** with ***unprecedented speed***: Genesis is the **world's fastest physics engine**, delivering simulation speeds up to ***10~80x*** (yes, this is a bit sci-fi) faster than existing *GPU-accelerated* robotic simulators (Isaac Gym/Sim/Lab, Mujoco MJX, etc), ***without any compromise*** on simulation accuracy and fidelity.
- 💥 A **unified** framework that supports various state-of-the-art physics solvers, modeling **a vast range of materials** and physical phenomena. A strong coupling with [IPC](https://github.com/spiriMirror/libuipc) is developed to support more accurate FEM-simulation.
- 📸 Photo-realistic ray-tracing rendering with optimized performance. We built a high-performance photorealistic renderer [Nyx](https://github.com/Genesis-Embodied-AI/genesis-nyx) for robotics application.
- 📐 **Differentiability**: Genesis is designed to be fully compatible with differentiable simulation. We have greatly improved the autodiff infrastructure in [Quadrants](https://github.com/Genesis-Embodied-AI/quadrants) compiler and manually derive the backpropagation for some complex kernels to improve differentiability.
- ☝🏻 A **comprehensive sensor system** built into the simulation interface: physically-accurate and differentiable **tactile** sensors, alongside **IMU**, **lidar**, **depth camera**, **contact force**, **surface distance**, and **temperature grid** sensors — all usable out of the box with parallel and heterogeneous environments. Camera-based rendering (Nyx / Luisa / Pyrender) is also exposed through the same sensor interface.