Mock data

Generate believable fake rows — names, emails, dates, ids — from a seed, so the same seed gives the same data.

Runs in your browser — nothing you type here is sent anywhere.
Shape
rows
seed
Format
Fields7 / 40
1
2
3
4
5
6
7
Type of “id

uuid3f1c…-…-4a2b

12
rows
7
columns
2,876
characters
json out
[
  {
    "id": "1f556c55-976e-4314-9b86-c2d8b97e324d",
    "first_name": "Kevin",
    "last_name": "Wilkerson",
    "email": "kevinwilkerson@relay.test",
    "city": "Prague",
    "created_at": "2025-12-12T15:19:47Z",
    "active": true
  },
  {
    "id": "f9437a79-0676-45dc-8e8f-99c15786fbf5",
    "first_name": "Uriel",
    "last_name": "Jackson",
    "email": "urieljackson@inbox.test",
    "city": "Wroclaw",
    "created_at": "2025-05-07T22:19:16Z",
    "active": false
  },
  {
    "id": "b0003e1d-9408-455b-9758-c4ddc83e987a",
    "first_name": "Nora",
    "last_name": "Gilmore",
    "email": "noragilmore@post.example",
    "city": "Portland",
    "created_at": "2021-04-13T05:07:18Z",
    "active": true
  },
  {
    "id": "6413a615-f6a7-473f-8650-93606b05587d",
    "first_name": "Leo",
    "last_name": "Harding",
    "email": "leo.harding95@example.org",
    "city": "Melbourne",
    "created_at": "2023-06-29T23:05:51Z",
    "active": true
  },
  {
    "id": "219e5317-e2bf-4692-9621-0b6eb3e45431",
    "first_name": "Phoebe",
    "last_name": "Joyce",
    "email": "pjoyce@mailinator.test",
    "city": "Hobart",
    "created_at": "2025-12-23T14:48:58Z",
    "active": false
  },
  {
    "id": "0baac440-e5c9-4166-9427-7ae13aa018cb",
    "first_name": "Bodhi",
    "last_name": "Farmer",
    "email": "bodhi.farmer8@example.com",
    "city": "Sendai",
    "created_at": "2022-12-30T17:43:41Z",
    "active": true
  },
  {
    "id": "62450059-dd96-446d-9038-343c6d074139",
    "first_name": "Clara",
    "last_name": "Newton",
    "email": "clara.newton@mail.example",
    "city": "Glasgow",
    "created_at": "2025-11-07T00:35:37Z",
    "active": false
  },
  {
    "id": "f3ef535d-82cb-4055-bd9a-5bcc68071bf6",
    "first_name": "Fatima",
    "last_name": "Tucker",
    "email": "fatima.tucker@example.com",
    "city": "Thessaloniki",
    "created_at": "2024-08-07T11:13:19Z",
    "active": true
  },
  {
    "id": "cb225b06-c271-4faf-a3ca-7461aadb5810",
    "first_name": "Jamal",
    "last_name": "Mayer",
    "email": "jamal.mayer54@relay.test",
    "city": "Lagos",
    "created_at": "2021-12-01T15:34:05Z",
    "active": false
  },
  {
    "id": "b79bf628-357c-42cd-997d-8b0701bffb48",
    "first_name": "Rocco",
    "last_name": "Taylor",
    "email": "rocco.taylor@example.net",
    "city": "Fort Worth",
    "created_at": "2022-11-28T17:30:46Z",
    "active": false
  },
  {
    "id": "a11e2334-69b0-480c-9a62-3d11ce285b53",
    "first_name": "Lars",
    "last_name": "Dorsey",
    "email": "lars.dorsey67@mailinator.test",
    "city": "Tampa",
    "created_at": "2022-01-24T09:54:02Z",
    "active": true
  },
  {
    "id": "c3f63545-dd16-40bb-906e-1185a1a296e1",
    "first_name": "Luis",
    "last_name": "Brooks",
    "email": "luis_brooks@post.example",
    "city": "Dresden",
    "created_at": "2020-01-31T22:44:57Z",
    "active": false
  }
]
seedchance-os
columnsid, first_name, last_name, email, city, created_at, active

The seed is the whole point. Every value comes from a mulberry32 stream keyed by the seed, the row number and the column name — never from Math.random — so this seed and these fields give you byte-for-byte the same fixture today, in CI, and on someone else's laptop. Change the seed for different data; reorder or rename nothing to keep what you have. Each row is internally consistent: the email and username are built from that row's own first and last name. Dates draw from a fixed 2020-01-012025-12-31 window rather than a rolling one for the same reason, and can be narrowed per field. SQL emits a single multi-row INSERT with quotes doubled and awkward identifiers delimited. Capped at 5,000 rows.

Test fixtures need to look like real records without being real records. They also need to be stable: data that changes every run makes a failing test impossible to reproduce.

Pick the fields you want and a row count, and the output comes back as JSON, CSV or SQL inserts. Everything derives from a seed you control, so the same seed produces byte-identical output every time.

What people open it for

In the terminal

tools mock

Every utility is also a command in the desktop's shell.

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