Generate complete README files, API docs, and code documentation from project descriptions. Formatted in markdown, ready to commit to your repository.
Try in TorkiTell Torki what your project does, the tech stack, key features, and who it's for. Include installation requirements and any CLI commands if applicable.
Generate a README.md for a Python CLI tool called "dataclean" that cleans and validates CSV files. It can remove duplicates, fix date formats, fill missing values, and export to JSON. Installed via pip.
Torki generates a complete README with proper markdown formatting — headings, code blocks, badges, tables, and examples. Copy it directly into your repo.
Ask for API reference docs, CONTRIBUTING.md, CHANGELOG, architecture docs, or inline code comments. Torki adapts the format to match your project's conventions.

# 🧹 dataclean
Fast, flexible CSV cleaning from the command line.
## Installation
```bash
pip install dataclean
```
## Quick Start
```bash
# Remove duplicate rows
dataclean input.csv --dedup -o clean.csv
# Fix date formats to ISO 8601
dataclean input.csv --fix-dates -o clean.csv
# Fill missing values with column median
dataclean input.csv --fill median -o clean.csv
# Export to JSON
dataclean input.csv --format json -o output.json
```
## Options
| Flag | Description |
|-----------------|--------------------------------|
| `--dedup` | Remove duplicate rows |
| `--fix-dates` | Normalize dates to ISO 8601 |
| `--fill MODE` | Fill nulls (mean/median/zero) |
| `--format FMT` | Output format (csv/json/xlsx) |
| `-o FILE` | Output file path |
| `--dry-run` | Preview changes without saving |
## License
MITDescribe your project and Torki generates formatted documentation ready for your repo.
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