# goodtables.io: Continuous tabular data validation

Goodtables increases your confidence in your data by performing a number of checks on it. It is able to validate things like:

  • Is my CSV valid?

  • Do all rows have the same number of columns?

  • Are all dates valid?

  • Is there any invalid e-mail?

If any of the checks fail, goodtables generates a report telling you which and where the errors occurred.

[![Example report with failed validation](_static/img/failed_validation.png)][bhx-schools]

By adding goodtables to your data publishing workflow, you’ll make sure your data is free from these types of errors.

## Features

  • Structural checks: Ensure that there are no empty rows, no blank headers, etc.

  • Content checks: Ensure that the values have the correct types (“string”, “number”, “date”, etc.), that their format is valid (“string must be an e-mail”), and that they respect the constraints (“age must be a number greater than 18”).

  • Support for multiple tabular formats: CSV, Excel, LibreOffice, Data Package, etc.

  • Automatically validate data on every update: Support for data on [GitHub][gettingstarted-github] and [Amazon S3][gettingstarted-s3].

## Table of Contents

```eval_rst .. toctree:

:maxdepth: 2



[bhx-schools]: https://goodtables.io/github/vitorbaptista/birmingham_schools “Birmingham Schools validation report” [gettingstarted-github]: getting_started_github.html “Validating data on GitHub” [gettingstarted-s3]: getting_started_s3.html “Validating data on Amazon S3”