> For the complete documentation index, see [llms.txt](https://www.csvpath.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://www.csvpath.org/getting-started/more-csv-and-excel-validation.md).

# More CSV and Excel Validation

CsvPath Framework includes a robust delimited data validation framework that makes validating CSV, Excel, JSONL, data frames, and other tabular formats a snap. The CsvPath Validation Language:

* Is declarative
* Provides powerful rules-based validation
* Provides schema-based validation 
* Has over 200 validation functions and allows user-defined custom functions
* Supports data upgrading and canonicalization
* Streams data to handle large files
* Provides metadata, variables, reporting, and error handling options
* Comes with a wealth of features enabling all kinds of use cases

Best of all, you can start small, do simple things incredibly quickly, and not worry that you'll hit a wall when the requirements get harder.

Read on for a small example. Then look through the site for lots more examples, large and small. If you need help or have questions, [just ask](/getting-started/a-helping-hand.md)!