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databricks Platform · Updated Feb 26, 2026

Python unit testing in the workspace

Databricks now provides integrated Python unit testing tools in the workspace.

Update Open docs ↗release note ↗
What it does

Databricks now provides integrated Python unit testing tools in the workspace. Use the tests sidebar, inline execution glyphs, and testing results bottom panel tab to discover, run, and debug pytest based tests. Databricks provides a suite of tools to discover, run, and track Python unit tests directly in the workspace.

Why it matters

Reduces operational overhead and unlocks new capabilities for data teams on Databricks.

Key capabilities
Run all tests
Run all tests
Run all failed tests
Run all failed tests
Refresh tests Monitor test status
Refresh tests Monitor test status: View the pass or fail status of each discovered test. Filter tests: Filter the test list by…
Architecture
Databricks Platform → Platform
In short

Databricks now provides integrated Python unit testing tools in the workspace. Use the tests sidebar, inline execution glyphs, and testing results bottom panel tab to discover, run, and debug pytest based tests.

Read the full documentation ↗
Key takeaway
Databricks now provides integrated Python unit testing tools in the workspace.
2026-02-26-python-unit-testing-in-the-workspace Generated by the Databricks Updates Agent · browse all updates