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@lxgicstudios/csvkit-next

v1.0.1

Published

Advanced CSV toolkit. Transform, filter, merge, validate, and analyze CSV files. Zero dependencies.

Readme

csvkit-next

Advanced CSV toolkit. Transform, filter, merge, validate, and analyze CSV files. Zero dependencies.

Installation

npm install -g @lxgicstudios/csvkit-next

Or use directly:

npx @lxgicstudios/csvkit-next stats data.csv

Commands

Filter rows

csvkit filter data.csv age gt 30
csvkit filter users.csv email contains @gmail
csvkit filter sales.csv status eq completed

Operators: eq, ne, gt, lt, gte, lte, contains, startswith, endswith, regex, empty, notempty

Transform columns

csvkit transform data.csv "full_name=first+' '+last"
csvkit transform prices.csv "total=price*quantity"
csvkit transform users.csv "email_domain=email.split('@')[1]"

Merge files

csvkit merge users.csv orders.csv -o combined.csv

Validate

csvkit validate data.csv
csvkit validate data.csv schema.json

Schema format:

{
  "required": ["id", "email"],
  "types": {
    "age": "number",
    "email": "email",
    "created": "date"
  }
}

Statistics

csvkit stats sales.csv

Output:

Rows: 1523
Columns: id, product, price, quantity, date

Column Stats:
  price:
    Type: number
    Non-empty: 1523/1523
    Min: 9.99, Max: 499.99, Avg: 87.45
    Unique: 342

Other Commands

csvkit head data.csv 20          # First 20 rows
csvkit tail data.csv 20          # Last 20 rows
csvkit columns data.csv          # List columns
csvkit sort data.csv price desc  # Sort by price descending
csvkit unique data.csv category  # Unique values in column
csvkit sample data.csv 50        # Random 50 rows
csvkit convert data.csv -t json  # Convert to JSON

Programmatic Usage

const { parseCSV, filter, transform, stats } = require('@lxgicstudios/csvkit-next');

// Parse CSV
const data = parseCSV(csvString);

// Filter
const adults = filter(data, 'age', 'gte', '18');

// Transform
const withFullName = transform(data, "name=first+' '+last");

// Get stats
const statistics = stats(data);
console.log(statistics.rows, statistics.columns);

Why csvkit-next?

  • Zero dependencies - Pure JavaScript, nothing to install
  • Fast - Streams large files efficiently
  • Complete - Filter, transform, merge, validate, analyze
  • Scriptable - Works great in pipelines

Built by LXGIC Studios

🔗 GitHub · Twitter