Jrv Mock Data

Generate realistic fake/mock data for testing and development. Supports names, emails, addresses, phone numbers, UUIDs, dates, lorem ipsum, credit cards, companies, and more. Output as JSON, CSV, or SQL INSERT statements.

Generate realistic test data instantly — no API key, no network. Supports dozens of data types, bulk generation, and multiple output formats including JSON, CSV, and SQL.

Quick Start

# Generate 10 fake users as JSON
python3 scripts/mock_data.py user --count 10

# Generate fake email addresses
python3 scripts/mock_data.py email --count 5

# Generate addresses
python3 scripts/mock_data.py address --count 3

# Generate a custom record with multiple fields
python3 scripts/mock_data.py record --fields "name,email,phone,company" --count 5

# Output as CSV
python3 scripts/mock_data.py user --count 20 --format csv

# Output as SQL INSERT
python3 scripts/mock_data.py user --count 10 --format sql --table users

# Single values (no count)
python3 scripts/mock_data.py uuid
python3 scripts/mock_data.py name
python3 scripts/mock_data.py lorem --words 50

# Save to file
python3 scripts/mock_data.py user --count 100 --format csv --output test_users.csv

Commands & Data Types

Type	Description	Example Output
user	Full user record (name, email, phone, address)	{"name": "Jane Smith", "email": "[e-mail]", ...}
name	Full name	"Marcus Rivera"
email	Email address	"[e-mail]"
phone	US phone number	"[phone]"
address	Street address	"1234 Oak Ave, Austin TX 78701"
company	Company name	"Nexigen Solutions LLC"
uuid	UUID v4	"f47ac10b-58cc-..."
date	Random date	"2024-07-15"
datetime	Random datetime	"2024-07-15T14:23:00"
lorem	Lorem ipsum text	"Lorem ipsum dolor sit amet..."
number	Random integer	42
float	Random float	3.14159
bool	True/false	true
color	Hex color	"#3a7bd5"
url	Fake URL	"https://fakecorp.io/api/v1"
ip	IPv4 address	"192.168.1.104"
record	Custom fields combo	Use --fields name,email,phone

Formats

Format	Flag	Notes
JSON	--format json (default)	Pretty-printed array
CSV	--format csv	With header row
SQL	--format sql --table <name>	INSERT statements
Lines	--format lines	One value per line

Options

Flag	Description
--count N	Number of records (default: 1)
--format <fmt>	Output format: json, csv, sql, lines
--table <name>	Table name for SQL output
--fields <list>	Comma-separated fields for record type
--seed N	Random seed for reproducible output
--output <file>	Write to file instead of stdout

Use Cases

• API testing: Seed databases with realistic-looking test records
• UI prototyping: Fill mockups with plausible names and emails
• QA automation: Generate test fixtures in CSV or JSON
• SQL seeding: Ready-to-paste INSERT statements for dev databases
• Load testing: Generate thousands of unique records instantly