# 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.
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
:maxdepth: 2 getting_started/index configuration/index configuration/goodtables_yml api/index
[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”