Showing 3 open source projects for "management software"

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    OptScale

    OptScale

    FinOps and MLOps platform to run ML/AI and regular cloud workloads

    Run ML/AI or any type of workload with optimal performance and infrastructure cost. OptScale allows ML teams to multiply the number of ML/AI experiments running in parallel while efficiently managing and minimizing costs associated with cloud and infrastructure resources. OptScale MLOps capabilities include ML model leaderboards, performance bottleneck identification and optimization, bulk run of ML/AI experiments, experiment tracking, and more. The solution enables ML/AI engineers to run...
    Downloads: 4 This Week
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  • 2
    OpenCost

    OpenCost

    Cost monitoring for Kubernetes workloads and cloud costs

    OpenCost is a vendor-neutral open-source project for measuring and allocating cloud infrastructure and container costs in real-time. Built by Kubernetes experts and supported by Kubernetes practitioners, OpenCost shines a light into the black box of Kubernetes spending. Flexible, customizable cost allocation and cloud resource monitoring for accurate showback, chargeback, and ongoing reporting. Dynamic asset pricing, through integrations with AWS, Azure, and GCP billing APIs as well as...
    Downloads: 3 This Week
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  • 3
    OpenMeter

    OpenMeter

    Metering and Billing for AI, API and DevOps

    OpenMeter is an open-source metering and billing platform designed to collect, aggregate, and analyze usage events from APIs, cloud infrastructure, and software services in real time, enabling flexible usage-based billing for SaaS, AI, and DevOps offerings. It supports high-scale event ingestion and deduplication to accurately record how customers consume billable resources such as API calls, compute time, or storage, and then correlates that usage with payment systems and billing plans to...
    Downloads: 13 This Week
    Last Update:
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