kserve

    kserve/kserve

    #312 this week

    Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

    ai
    kubernetes
    machine-learning
    artificial-intelligence
    cncf
    genai
    hacktoberfest
    istio
    Go
    Apache-2.0
    6.1K stars
    1.7K forks
    6.1K GitHub watchers
    Updated Oct 20, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    Ranks #312 of 2,794 repositories GStars tracks this week (top 11%).

    5 releases in the last 90 days, the latest 25 days ago, with 377 contributors on GitHub.

    Gained 26% more stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Provides a standardized distributed platform for scalable generative and predictive AI model inference on Kubernetes.
    • Unifies multi-framework AI inference with advanced autoscaling, model caching, and seamless integration for both generative and predictive workloads.
    • Use for deploying large language models with GPU acceleration and optimized memory management on Kubernetes clusters.
    • Use for serving multi-framework predictive models like TensorFlow, PyTorch, and XGBoost with intelligent routing and canary rollouts.
    • Use for implementing cost-efficient AI inference pipelines with scale-to-zero autoscaling and built-in model explainability features.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    KServe is a standardized distributed generative and predictive AI inference platform for scalable, multi-framework deployment on Kubernetes.

    KServe is being used by many organizations and is a Cloud Native Computing Foundation (CNCF) incubating project.

    For more details, visit the KServe website.

    Single platform that unifies Generative and Predictive AI inference on Kubernetes. Simple enough for quick deployments, yet powerful enough to handle enterprise-scale AI workloads with advanced features.

    Excerpt from the kserve/kserve README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Aug 1: +0Sep 12: +9Sep 13: +2Sep 16: +21Sep 17: +10Sep 18: +8Sep 19: +6

    +410 stars over 87 days across 15 snapshot days; best day +21 on Sep 16.

    Forks

    1.7K+150

    Open issues

    211-75

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Oct 18, by 7-day star growth

    kserve/kserve compared with AI repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
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    heygen-com/hyperframes70.0K+5.7K45today
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    Leonxlnx/taste-skill101.1K+4.0K752 days ago
    ifixai-ai/iFixAi30.7K+3.3K755 days ago
    kserve/kserve6.1K+07525 days ago
    Category median70.0K+4.4K75—

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