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Source channel @githubtrending · Post #15571 · Mar 18

#python#newton_physics#nvidia_warp#physics_simulation#robotics Newton is a free, open-source GPU-accelerated physics engine for fast, accurate robot simulations, built by NVIDIA, Google DeepMind, and Disney Research. Install easily with `pip install "newton[examples]"` and run demos like pendulums, humanoids, cloth, cables, or hands via simple Python commands—it supports Linux/Windows/macOS with NVIDIA GPUs. You benefit by quickly testing robotics ideas with high-speed, differentiable physics for AI training, real-time adaptability, and complex tasks like manipulation, cutting weeks off development time. https://github.com/newton-physics/newton

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@githubtrending · Post #14992 · 07/23/2025, 01:00 PM

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#go#aws#azure#cncf#cost#cost_optimization#finops#gcp#k8s#kubernetes#monitoring#opencost#prometheus OpenCost is a free, open-source tool that helps you see and understand the costs of running Kubernetes clusters and cloud services in real time. It breaks down costs by cluster, node, namespace, pod, and more, across multiple cloud providers like AWS, Azure, and GCP, and even supports on-premises setups. This lets you track where your money is going, spot expensive resources, and manage your cloud spending better. It integrates with Prometheus for metrics and offers a user-friendly web interface and APIs for easy cost monitoring and exporting. Using OpenCost helps you control and optimize your cloud and Kubernetes expenses efficiently[1][2][3][4]. https://github.com/opencost/opencost

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#go #aws #azure #cncf #cost #cost_optimization #finops #gcp #k8s #kubernetes #monitoring #opencost #prometheus