Professional Schema Validation
for Excel & CSV Files

Zero-config data validation with the power of vlite schema command.
Get started in 30 seconds and validate your data like a pro.

Start Validating Now See Schema Command

The vlite schema Command

Define your data contract once, validate everywhere. Perfect for data cleaning, type conversion assessment, and production quality checks.

🎯 Define Your Schema

Create a JSON schema that describes your current data and desired types.

{
  "legacy_users": {
    "rules": [
      {
        "field": "user_id",
        "type": "string",
        "desired_type": "integer"
      }
    ]
  }
}

⚡ Run Validation

One simple command validates your entire dataset against the schema.

$ vlite schema --conn data.csv --rules schema.json

📊 Get Detailed Reports

Understand exactly what needs to be fixed before you start cleaning.

FIELD VALIDATION RESULTS
========================
Field: user_id
✓ Field exists (string)
✗ Type Conversion: 15 incompatible records

🚀 Excel & CSV Validation Made Easy

📊

Data Cleaning Assessment

Before you start cleaning messy datasets, know exactly what you're dealing with. ValidateLite assesses type conversion feasibility, saving you hours of guesswork.

🔄

Type Conversion Planning

Converting string columns to integers, floats, or dates? Get a detailed report of which records will fail conversion before you write any cleaning code.

⚙️

CI/CD Integration

Embed schema validation directly into your data pipelines. Catch data quality issues before they reach production.

📈

Production Monitoring

Monitor data quality at every stage of your ETL/ELT processes. Prevent "garbage in, garbage out" scenarios.

📚 Resources & Guides

Everything you need to master ValidateLite schema validation

📖 Usage Guide

Complete guide to all commands, data sources, rule types, and the Desired Type system

⚙️ Configuration Reference

Learn how to configure ValidateLite via TOML files for advanced use cases

🤝 Contributing Guide

Join our community! Learn how to contribute to ValidateLite development

📝 DevLog #1: Building Zero-Config Tool

Behind the scenes: How we built a data validation tool that requires zero configuration

🔄 DevLog #2: Platform Rethink

Why we scrapped our half-built platform and focused on developer experience

🎯 Rule-Driven Schema Validation

Deep dive into our lightweight approach to schema validation and why it works

📝 What is Schema Drift? Complete Guide

Stop 3AM production failures! Learn what schema drift is, how it silently breaks ETL pipelines, and proven detection methods using ValidateLite for bulletproof data systems.

📝 Database Schema Validation

Master database schema validation to prevent pipeline failures, ensure data quality, and automate schema drift detection. Essential strategies for data engineers and architects.

📝 ValidateLite vs. JSON Schema Validator

Discover why JSON Schema Validator handles documents while ValidateLite validates database schemas. Learn which tool fits your data validation needs.

📝 Data Validation Tools

Discover how data validation tools prevent corrupt data from entering your systems. Learn essential validation techniques, explore schema validation methods using ValidateLite.

📝 Database Validation Guide

Master database validation techniques from constraints to application-layer checks. Learn referential integrity, foreign keys, and how validatelite protects your database.

📝 The End of Excel Data Validation Hell

Stop wrestling with Excel's complex data validation rules. Discover ValidateLite's revolutionary Desired Type feature - the CSV validator that predicts data conversion success before migration.