Load and analyze data files from local paths or URLs in formats like CSV, JSON, Excel, and Parquet to extract DataFrame information and metadata for data understanding.
Apache 2.0
65,690 tools. Last updated 2026-01-28 12:24
- Export Hugging Face dataset splits as Parquet files for data analysis and processing workflows.MIT License
- Execute SQL queries on CSV and Parquet data sources using DuckDB syntax to retrieve structured results for data analysis and visualization.MIT License
- Analyze and extract insights from data files stored locally or remotely. Supports CSV, JSON, Excel, Parquet, and more. Input absolute file paths or URLs to retrieve DataFrame information and metadata.Apache 2.0
- Export Hugging Face dataset splits as Parquet files for efficient storage and analysis. Specify the dataset identifier and optional auth token for private datasets.MIT License
- Execute SQL queries on CSV or Parquet sources using DuckDB syntax via the Zaturn MCP server, returning results as a dataframe for analysis and visualization.MIT License
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