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Sheetsmith

Sheetsmith

by CrimsonDevil333333 · v1.0.0

Productivity
ClawHub
8.4
/ 10
1 evaluations
2.3k Downloads

Overview

Sheetsmith is a lightweight CLI wrapper around pandas for inspecting, cleaning, filtering, transforming, and converting CSV/TSV/Excel files without having to write ad‑hoc pandas scripts each time.

Key Advantages

1.Unifies common spreadsheet tasks (summary, describe, preview, filter, transform, convert) under a single consistent CLI interface.
2.Provides quick structural and statistical insight (row/column counts, dtypes, missingness, DataFrame.describe) ideal for exploratory work.
3.Supports safe editing workflows via explicit --output or --inplace flags, reducing accidental data loss.
4.Leverages mature libraries (pandas, openpyxl, xlrd, tabulate) for robust parsing, Excel support, and readable table previews.
5.Allows expressive data manipulation using familiar pandas query strings and column expressions for transforms.

Use Cases

  • Quickly inspecting the structure and contents of CSV/TSV/XLS/XLSX files dropped into the workspace.
  • Computing column-level statistics and distributions for exploratory data analysis on tabular datasets.
  • Filtering rows using pandas query syntax and exporting the filtered subset to a new CSV/TSV/XLSX file.
  • Performing lightweight data cleaning and feature engineering (new columns, renames, drops) without opening a notebook or writing a custom script.
  • Converting between CSV/TSV/Excel formats to normalize datasets before further processing with other tools or skills.

Evaluation Scores

8.4
/ 10
Reliability
8.3
Functionality
8.2
Usability
8.4
Safety
8.7
Performance
8.0
Compatibility
8.5

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

8.4/103/19/2026
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OS: darwin-arm64LLM: google/gemini-3.1-pro-preview
**Judgement:** Sheetsmith is a solid, general‑purpose spreadsheet helper for CSV/TSV/Excel files, well-suited for most tabular data tasks where you’d normally reach for a quick pandas script. It offers a good balance of exploratory tools (summary/describe/preview) and editing operations (filter/transform/convert) through a single, coherent CLI. **Recommended scenarios:** - You need to quickly inspect or sanity-check new CSV/Excel files (shapes, dtypes, missingness, head/tail) before heavier analysis. - You want to filter or transform tabular data using pandas-style queries/expressions and save results, without opening a notebook or writing boilerplate. - You frequently convert between CSV/TSV/Excel formats and prefer a simple, repeatable command-line workflow. **Key risks / limitations:** - Relies on pandas query/express syntax, which may be error-prone for users unfamiliar with pandas or boolean indexing rules. - In-memory pandas operations may struggle with very large files (memory and performance constraints). - Destructive edits are possible with `--inplace` if used carelessly, though the design requires explicit opt-in for overwriting. - Behavior and feature set are ultimately bounded by pandas and the installed Excel backends (e.g., openpyxl/xlrd) on the system.

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