Data Validation

Data validation checks whether information meets expected rules before it is stored, processed, or used. Rules can cover types, formats, ranges, required fields, and relationships between values. Validation helps catch errors early, protect data quality across systems, and reduce failures caused by malformed input. It is useful for application forms, configuration files, data pipelines, APIs, and systems that process model inputs or outputs.

Open source tools in this area range from lightweight schema validators to libraries for specialized formats and frameworks for checking data at application boundaries. When choosing one, consider its maturity, license, maintenance activity, supported languages, extensibility, and fit with your existing schemas and workflows. These tools can help software developers, data engineers, and teams building data-driven applications make checks consistent and easier to maintain.