Introduction
Prior to kotest 6.0, data-driven-testing was a separate module. Starting from kotest 6.0, data-driven-testing is
included in the core framework so there is no kotest-framework-datatest to be added. Please remove that from your build.
This section covers the new and improved data-driven testing support that was released with Kotest 4.6.0. To view the documentation for the previous data test support, click here
If you are using data testing on kotlin-native platforms, and you only have data tests (ie, zero manual tests) then see the section on Native Support.
When writing tests that are logic-based, then specific code paths that work through particular scenarios make sense. Other times we have tests that are more example-based, and it would be helpful to test many combinations of parameters.
In these situations, data driven testing (also called table-driven testing) is an easy technique to avoid tedious boilerplate.
Kotest has first-class support for data-driven testing built into the framework. This means Kotest will automatically generate test case entries, based on input values provided by you.
Getting Started​
Let's consider writing tests for a Celsius to Fahrenheit conversion function. The input will be the Celsius value, and the expected output will be the Fahrenheit value.
fun cToF(celsius: Int): Int = (celsius * 9 / 5) + 32
Depending on the spec style in use, Kotest provides withXXX methods which mirror the DSL provided by each spec style.
For example, if we are using the fun spec style, then we can use the withTests function.
When creating data tests, we need to provide each set of inputs (called a row) wrapped in a class. Since in this
example we need two arguments per row, so we can wrap the inputs in a Kotlin Pair object. If we had more than two
arguments, we could use a custom data class instead.
We create a data test by using the withXXX function, passing in the rows, and also a lambda that performs the test
logic for that given row.
For example:
class MyTests : FunSpec({
withTests(
Pair(0, 32),
Pair(100, 212),
Pair(-40, -4),
Pair(-30, -30),
)
{ (celsius, fahrenheit) ->
cToF(celsius) shouldBe fahrenheit
}
})
Notice that because we are using Pair's, or data classes, the input row can be destructured into the member properties.
Kotest will automatically generate a test case for each input row, as if you had manually written a separate test case. So, in this example when this data test is executed, we will have four separate test results in our output.

The test names are generated from the data classes themselves but can be customized.
If there is an error for any particular input row, then the test will fail and Kotest will output the values that
failed. For example, if we change the previous example to include the row PythagTriple(5, 4, 3)
then that test will be marked as a failure.

The error message will contain the error and the input row details:
Test failed for (a, 5), (b, 4), (c, 3) expected:<9> but was:<41>
Nesting​
In the previous example, we placed the data tests at the root level. We can also nest data tests inside other
containers or even other data tests. For example, we can wrap the previous example in a context block so we have more
information when the test results appear. In fact, data tests can be nested inside any number of containers.
For example:
class MyTests : FunSpec({
context("celsius to fahrenheit") {
withTests(
Pair(0, 32),
Pair(100, 212),
Pair(-40, -4),
Pair(-30, -30),
)
{ (celsius, fahrenheit) ->
cToF(celsius) shouldBe fahrenheit
}
}
})
Data tests can only be defined at the root or in container scopes. They cannot be defined inside leaf scopes.
Native Support​
If you are using data testing on kotlin-native platforms, and you only have data tests (ie, zero manual tests), then you must instruct the Kotlin Gradle plugin to not fail the build because no tests are discovered. This happens because data tests are generated at runtime by Kotest, the kotlin-native test discovery mechanism does not see any tests at compile time. Again, this only matters if you are using data tests exclusively.
tasks.withType<KotlinTest>().configureEach {
failOnNoDiscoveredTests = false
}
Lifecycle Hooks​
If you wish to have before / after hooks take effect for each row in a data test, then you can use the standard hooks
that Kotest supports, including beforeTest and afterTest for example. Every test created using data-driven testing
acts the same way as the equivalent regular tests, so all standard callbacks work as if you had written all the tests by
hand. See docs on lifecycle hooks
For example:
beforeTest {
// reset test setup
}
context("...") {
withTests(X, Y, Z) { x,y,z ->
// test code
}
}
WithXXX Variants​
Each spec style has its own set of withXXX which define either a container or a leaf context.
Combinations per spec style are listed below:
| Test Style | Available withXXX Functions | Legacy withData Maps To |
|---|---|---|
| FunSpec | withContexts (creates container contexts)withTests (creates leaf tests) | withContexts |
| StringSpec | withData (creates leaf tests) | withData (native) |
| DescribeSpec | withContexts (creates container contexts)withDescribes (creates container describes)withIts (creates leaf tests) | withContexts |
| ShouldSpec | withContexts (creates container contexts)withShoulds (creates leaf tests) | withContexts |
| WordSpec | withWhens (creates when containers)withShoulds (creates should containers) | withWhens |
| BehaviorSpec | withContexts (creates container contexts)withGivens (creates given containers)withWhens (creates when containers)withThens (creates then leaf tests)withAnds (creates and containers in given scope) | withContexts |
| FreeSpec | withContexts (creates container contexts)withTests (creates leaf tests) | withContexts |
| ExpectSpec | withContexts (creates container contexts)withExpects (creates leaf expect tests) | withContexts |
| FeatureSpec | withFeatures (creates feature containers)withScenarios (creates leaf scenario tests) | withFeatures |
Versions of Kotest prior to 6.1 provided a single withData function. This function still exists and points to an
appropriate variant for that spec style. However, the new withXXX variants are preferred as you have control over whether
you are defining a container or a leaf test.
Full examples of how each of these can be used can be found in these kotest tests