Showing 7 open source projects for "half-edge"

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  • Our Free Plans just got better! | Auth0 by Okta Icon
    Our Free Plans just got better! | Auth0 by Okta

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  • Extended Threat Intelligence | SOCRadar Icon
    Extended Threat Intelligence | SOCRadar

    See what hackers already know about your organization – and stop them from getting in.

    Enterprises need full-spectrum cyber intelligence—beyond social media and the dark web. SOCRadar monitors cloud buckets, dark web leaks, and external threats in real time. Automate takedowns, detect brand impersonations, and stay ahead of evolving attacks. Strengthen your security with Extended Threat Intelligence.
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  • 1
    MicroK8s

    MicroK8s

    Single-package Kubernetes for developers, IoT and edge

    Low-ops, minimal production Kubernetes, for devs, cloud, clusters, workstations, Edge and IoT. MicroK8s automatically chooses the best nodes for the Kubernetes datastore. When you lose a cluster database node, another node is promoted. No admin needed for your bulletproof edge. MicroK8s is small, with sensible defaults that ‘just work’. A quick install, easy upgrades and great security make it perfect for micro clouds and edge computing. As the publishers of MicroK8s, we deliver the world’s...
    Downloads: 0 This Week
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  • 2
    Clusternet

    Clusternet

    [CNCF Sandbox Project] Managing your Kubernetes clusters

    An open-source project that helps users manage multiple Kubernetes clusters as easily as ‘visiting the Internet’ (thus the name ‘Clusternet’). It is a general-purpose system for controlling Kubernetes clusters across different environments as if they were running locally. Manage multiple Kubernetes clusters (running on public cloud, private cloud, hybrid cloud, or at the edge) from a single management cluster. Deploy Helm Charts, all Kubernetes built-in resources (like Deployments) and CRDs...
    Downloads: 0 This Week
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  • 3
    Kubermatic KubeOne

    Kubermatic KubeOne

    Kubermatic KubeOne automate cluster operations on all your cloud

    Kubermatic KubeOne automates cluster operations on all your cloud, on-prem, edge, and IoT environments. KubeOne can install high-available (HA) master clusters as well single master clusters. KubeOne works on any infrastructure out of the box. All you need to do is to provision the infrastructure and let KubeOne know about it. KubeOne will take care of setting up a production-ready Highly Available cluster. KubeOne natively supports the most popular providers, including AWS, Azure, DigitalOcean...
    Downloads: 0 This Week
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  • 4
    Zarf

    Zarf

    DevSecOps for Air Gap & Limited-Connection Systems

    Zarf eliminates the complexity of air gap software delivery for Kubernetes clusters and cloud-native workloads using a declarative packaging strategy to support DevSecOps in offline and semi-connected environments.
    Downloads: 0 This Week
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  • Smart Monitoring for Any Network. Powered by Open Source. Icon
    Smart Monitoring for Any Network. Powered by Open Source.

    Trusted by thousands of IT teams worldwide

    NMIS helps with fault, performance, and configuration management. It provides performance graphs, threshold alerting, and detailed notification policies with various methods. NMIS monitors an organization’s IT environment, helps identify and rectify faults, and provides valuable information for IT planning.
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  • 5
    KWOK

    KWOK

    Kubernetes WithOut Kubelet - Simulates thousands of Nodes and Clusters

    KWOK is a toolkit that enables setting up a cluster of thousands of Nodes in seconds. Under the scene, all Nodes are simulated to behave like real ones, so the overall approach employs a pretty low resource footprint that you can easily play around with on your laptop.
    Downloads: 0 This Week
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  • 6

    pycos

    Python framework for concurrent, asynchronous, distributed tasks

    Python framework for concurrent, asynchronous, distributed communicating tasks for broad range of use cases, including public / private / hybrid cloud computing, fog / edge computing.
    Downloads: 3 This Week
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  • 7

    dispy

    Distributed and Parallel Computing with/for Python.

    dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing.
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    Downloads: 3 This Week
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