{
  "id": "dataprofiler",
  "name": "Capital One DataProfiler",
  "category": "detector",
  "doc": "DataProfiler is an open source Python library from Capital One that profiles datasets and detects sensitive data. Its data labeler is a character-level neural model that predicts an entity label for each cell of structured data, and the profiler aggregates these predictions into a label for the column. The default structured labeler has 23 labels, such as EMAIL_ADDRESS, CREDIT_CARD, SSN, IPV4 and US_STATE; the list is in the label_mapping.json resource of the structured model and on the data labeling page of the docs.",
  "website": "https://capitalone.github.io/DataProfiler/data_labeling.html",
  "supported_types": [
    "address",
    "bankaccount",
    "bankcard",
    "date",
    "datetime",
    "driver_license",
    "email",
    "ipv4",
    "ipv6",
    "mac_address",
    "person_fullname",
    "phone",
    "time",
    "url",
    "usssn",
    "usstate",
    "uuid"
  ],
  "num": 17
}