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Good Tables Web

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A web API for validating data tables against a validation pipeline.

This package is part of a suite of table validation tools, providing a lightweight web interface to Good Tables.

Runtime support

Planned support for Python 2.7, 3.3 and 3.4. Some tests currently fail on 2.7. Development is proceeding on 3.4.


  • Clone the repository into a virtual environment
  • Install dependencies: pip install -r requirements.txt
  • Run a server: python
  • Run the tests:
    • pip install -r requirements/test.txt && pip install -r requirements/local.txt
    • ./

What we've got

/ (Home)

  • A web form for manually adding data for validation

/api (API Index)

  • Via XHR, a JSON object with an endpoints property that describes the available endpoints
  • Via browser, a documentation page for the API

api/run (Task Runner)

  • POST to validate data
  • GET to validate data

Supported configuration parameters

The API and UI support a subset of all parameters available in a Good Tables pipeline.

All possible arguments to a pipeline and individual processors can be found in the Good Tables docs.


  • data: (required) Any file, URL to a file, or string of data
  • schema: (default. None) This is a convenience for the options['schema']['schema'] argument that is passed to the schema validator
  • report_limit: (default. 1000, max. 1000) An integer that sets a limit on the amount of report results a validator can generate. Validation will cease of this amount is reached
  • row_limit: (default. 20000, max. 30000) An integer that sets a limit on the amount of rows that will be processed. Iteration over the data will stop at this amount.
  • fail_fast: (default True) A boolean to set whether the run will fail on first error, or not.
  • format: (default 'csv') 'csv' or 'excel' - the format of the file.
  • ignore_empty_rows: (default False) A boolean to set whether empty rows should raise errors, or be ignored.
  • ignore_duplicate_rows: (default False) A boolean to set whether duplicate rows should raise errors, or be ignored.
  • encoding: (default None) A string that indicates the encoding of the data. Overrides automatic encoding detection.


# make a request
curl --data "data="

# the response will be like
    "report": {
        "summary": {
            "bad_row_count": 1,
            "total_row_count": 10,
        "results": [
            "result_id": "structure_001", # the ID of this result type
            "result_level": "error", # the severity of this result type (info/warning/error)
            "result_message": "Row 1 is defective: there are more cells than headers", # a message that describes the result
            "result_name": "Defective Row", # a human-readable title for this result
            "result_context": ['38', 'John', '', ''], # the row values from which this result triggered
            "row_index": 1, # the idnex of the row
            "row_name": "", # If the row has an id field, this is displayed, otherwise empty
            "column_index": 4, # the index of the column
            "column_name": "" # the name of the column (the header), if applicable


The UI is a simple form to add data, with an option schema, from either URLs or uploaded files.