ai-dynamo

    ai-dynamo/aiperf

    AIPerf is a comprehensive benchmarking tool that measures the performance of generative AI models served by your preferred inference solution.

    backend
    Python
    Apache-2.0
    855 stars
    257 forks
    14 GitHub watchers
    Updated Nov 6, 2026
    View on GitHub

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    Where it stands

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

    1 release in the last 90 days, the latest 43 days ago, with 104 contributors on GitHub.

    Use Cases & Benefits

    • Measures and benchmarks the performance of generative AI models across various inference solutions with detailed metrics and reports.
    • Offers a scalable multiprocess architecture with extensible plugins and multiple UI modes for flexible, real-time, and comprehensive benchmarking.
    • Use for evaluating latency and throughput of local or remote generative AI model endpoints under different concurrency and request-rate scenarios.
    • Use for replaying real-world production traffic traces to simulate and analyze AI model performance in realistic workloads.
    • Use for integrating with telemetry platforms like MLflow, OpenTelemetry, and Weights & Biases to monitor and visualize AI inference metrics continuously.

    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

    Watch-outs

    No watch-outs from GStars' checks.

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

    From the README

    AIPerf is a comprehensive benchmarking tool that measures the performance of generative AI models served by your preferred inference solution. It provides detailed metrics using a command line display as well as extensive benchmark performance reports.

    This quick start guide leverages Ollama via Docker Desktop.

    Excerpt from the ai-dynamo/aiperf 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 27: +9

    +269 stars over 72 days across 7 snapshot days; best day +9 on Aug 27.

    Forks

    257+99

    Open issues

    130+38

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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