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  • A
    license
    A
    quality
    C
    maintenance
    Manages a local SQLite music track library with fingerprint-based incremental scanning, multi-condition search, missing analysis completion, and crate management, enabling DJs to organize and retrieve tracks without moving files.
    13
    AGPL 3.0
  • F
    license
    Not graded
    quality
    C
    maintenance
    Provides exact arithmetic and verification tools using SymPy and fractions to solve math competition problems precisely. It enables users to perform rigorous calculations and export notebook-ready Python code for further analysis.
    -
  • A
    license
    A
    quality
    B
    maintenance
    Provides a safe scientific runtime for agents with typed math operations including calculus, algebra, statistics, unit conversion, and more via MCP tools.
    4
    Apache 2.0
  • A
    license
    A
    quality
    B
    maintenance
    Provides LLMs with deterministic math tools for sandboxed expression evaluation, descriptive statistics, primality testing, prime factorization, GCD/LCM, quadratic solving, and base conversion. Every operation runs real code rather than relying on the model's arithmetic, with expression parsing restricted to a whitelist of operators, constants, and functions.
    21
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    A Python-based MCP server providing mathematical computation tools and plotting utilities for a wide range of math topics including calculus, matrix operations, statistics, and more.
    22
    5
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables creating interactive data visualizations from natural language queries using DuckDB for local databases or Databricks for enterprise data warehouses. Supports multiple chart types, CSV imports, SQL queries, and automatic statistical analysis through Claude Desktop.
    19
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables rigorous, auditable mathematical proving with machine-checked steps, honestly distinguishing proven, refuted, and inconclusive results while disclosing unverified gaps.
    MIT