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9xvision

9xvision

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by ASGARD-STUDIOS
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Python
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    TDQS

    B3.3/5.0

    Scored across 15 tools

    Disambiguation4/5

    Most tools target distinct actions/resources: watch analyses video, frame extracts a single frame, zoom builds a dense grid, diff compares moments, search finds moments, and the live_* tools handle real-time perception. There is some overlap among frame, look, zoom, and image for inspecting visual detail, but the descriptions mostly clarify when to use each.

    Naming Consistency3/5

    The set mixes noun names (frame, image, images, qa) with verb names (watch, look, zoom, diff, search) and a prefixed live_ group plus list_watches. The live_ tools are consistently prefixed, but overall there is no single predictable verb_noun or noun pattern.

    Tool Count5/5

    Fifteen tools fit a rich visual/video analysis domain with distinct areas: video analysis, image albums, live sessions, search, comparison, and QA. The count is well within a reasonable scope and each tool appears to serve a specific workflow.

    Completeness4/5

    The surface covers core workflows for video/image/live analysis: ingest, inspect, search, compare, QA, and live snapshots. Minor gaps exist around managing cached watches/albums (e.g. no delete or rename operations), but these are not central to the stated analysis purpose.

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