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Alternatives to yvonneyx-ava

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    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Enables local, private analysis of CSV and TSV files through natural-language agents such as Grok Bot and Cursor, offering file listing, profiling, SQL-like queries, summaries, group-bys, pivot tables, cleaning previews and generated charts. All computation happens on the user's own machine against an allowlisted folder, with no network calls, telemetry or data leaving the host.
      8
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to analyze large CSV files locally by importing them into SQLite, profiling columns, and running read-only SQL queries without data leaving the machine.
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      Enables users to analyze local Excel and CSV files through natural language queries and a web dashboard while keeping data local. It supports saving specific analyses as reusable tools and building a custom analytics toolkit within Claude Desktop.
      10
      15 PyPI
      MIT
    • F
      license
      A
      quality
      D
      maintenance
      Enables comprehensive analysis of CSV files and SQLite databases through tools for statistics, correlations, anomaly detection, pivot tables, time series analysis, visualization, and automated insights discovery.
      16
      -
    • A
      license
      A
      quality
      C
      maintenance
      Enables read-only profiling, comparison, total reconciliation, and formula integrity review of local Excel .xlsx and CSV files within a configured workspace, without modifying files or executing formulas.
      4
      MIT

    TDQS

    A4/5.0

    Scored across 8 tools

    Disambiguation4/5

    Each tool has a largely distinct role in a load→inspect→query→visualize→report pipeline. The only real friction is between ava_schema and ava_semantic, since ava_schema's description says it also reads existing semantic definitions, and between ava_viz and ava_artifact, though descriptions do clarify standalone chart vs report.

    Naming Consistency4/5

    All eight tools share a clean ava_ prefix in snake_case, making the set predictable. The minor deviation is that some names are verbs/actions (check, query, dispose) while others are nouns (source, schema, semantic, viz, artifact), so it isn't a strict verb_noun pattern but remains readable and consistent.

    Tool Count5/5

    Eight tools is well-scoped for a data-loading, querying, and reporting server. Every tool maps to a distinct stage of the workflow (load, check, schema, query, semantic, visualize, report, dispose) with no padding.

    Completeness4/5

    The lifecycle is substantially covered: source loading, schema inspection, SQL execution, semantic definitions, visualization, reporting, and disposal. Minor gaps exist around explicitly listing/finding loaded datasets or exporting raw results, but agents can work around these via queryIds and saved artifacts.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues