2 Integrations with GradedBlue

View a list of GradedBlue integrations and software that integrates with GradedBlue below. Compare the best GradedBlue integrations as well as features, ratings, user reviews, and pricing of software that integrates with GradedBlue. Here are the current GradedBlue integrations in 2026:

  • 1
    Blender

    Blender

    Blender Foundation

    Blender is the free and open source 3D creation suite. It supports the entirety of the 3D pipeline—modeling, rigging, animation, simulation, rendering, compositing and motion tracking, video editing and 2D animation pipeline. Cycles is Blender’s built-in powerful unbiased path-tracer engine that offers stunning ultra-realistic rendering. Blender’s comprehensive array of modeling tools make creating, transforming and editing your models a breeze. VFX professionals say: “Probably the best tracker in the market”. Blender includes production ready camera and object tracking. Allowing you to import raw footage, track the footage, mask areas and see the camera movements live in your 3D scene. Eliminating the need to switch between programs. Thanks to the high quality rigging and animation tools, Blender is being used for numerous short films, advertisements, TV series and feature films now.
  • 2
    NVIDIA DRIVE
    Software is what turns a vehicle into an intelligent machine. The NVIDIA DRIVE™ Software stack is open, empowering developers to efficiently build and deploy a variety of state-of-the-art AV applications, including perception, localization and mapping, planning and control, driver monitoring, and natural language processing. The foundation of the DRIVE Software stack, DRIVE OS is the first safe operating system for accelerated computing. It includes NvMedia for sensor input processing, NVIDIA CUDA® libraries for efficient parallel computing implementations, NVIDIA TensorRT™ for real-time AI inference, and other developer tools and modules to access hardware engines. The NVIDIA DriveWorks® SDK provides middleware functions on top of DRIVE OS that are fundamental to autonomous vehicle development. These consist of the sensor abstraction layer (SAL) and sensor plugins, data recorder, vehicle I/O support, and a deep neural network (DNN) framework.
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