MockData — Mock Data Generator
Generate realistic random data for testing, development, and prototyping. Outputs names, emails, phone numbers, addresses, UUIDs, CSV files, and JSON records.
Commands
| Command | Description |
|---|---|
name [count] |
Generate random full names (first + last, from 160+ name pool) |
email [count] |
Generate random email addresses (realistic patterns with varied domains) |
phone [count] |
Generate random US phone numbers (+1-XXX-XXX-XXXX format) |
address [count] |
Generate random US street addresses with city, state, ZIP |
uuid [count] |
Generate random UUID v4 values (from /dev/urandom) |
csv <rows> <cols> |
Generate CSV with auto-typed columns (id, name, email, phone, city, score) |
json [count] |
Generate JSON array of records with id, name, email, phone, age, city |
Examples
# Generate 5 random names
mockdata name 5
# Generate 10 email addresses
mockdata email 10
# Generate UUIDs
mockdata uuid 3
# Generate a CSV file with 100 rows and 4 columns
mockdata csv 100 4 > test-data.csv
# Generate JSON records
mockdata json 5 > users.json
# Combine for seeding
mockdata json 50 > seed.json
Data Sources
- Names: 80+ first names × 80+ last names (10,000+ combinations)
- Emails: Varied patterns —
first.last@,firstlast42@,flast@across 10 domains - Phones: Random US format with valid area code ranges
- Addresses: 20 street types × 20 cities × 20 states
- UUIDs: Generated from
/dev/urandomwith proper v4 formatting
CSV Column Types
Columns cycle through these types based on position:
id(sequential)name(random full name)email(random email)phone(random phone)city(random city)score(random 0-99)
Notes
- All output goes to stdout — pipe to a file to save
- JSON output is valid JSON (array of objects)
- No external dependencies — uses bash builtins and
/dev/urandom