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scherlok

by rbmuller
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Python
Remote

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    TDQS

    A4.1/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a distinct purpose: check is CI pass/fail, history retrieves past anomalies, investigate profiles and sets baseline, list_tables discovers tables, status gives health, watch detects anomalies against baseline. No overlap in functionality.

    Naming Consistency4/5

    All tool names are short, imperative verbs except for 'history' which is a noun. However, the naming is consistent in style and easy to understand, with no mixing of conventions like camelCase or snake_case.

    Tool Count5/5

    6 tools is appropriate for a data quality monitoring server. Each tool covers a necessary step in the workflow (discovery, profiling, detection, CI, history, status) without unnecessary bloat.

    Completeness4/5

    The tool set covers the core monitoring lifecycle: table discovery, profiling, baseline setting, anomaly detection, CI check, history, and status. Minor gaps exist, such as no tool for resetting baselines or managing anomalies, but these are manageable.

    Maintenance

    ActivityActive
    ResponsivenessWithin a week

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