Visualize and analyze Robot Framework test results across multiple runs with an interactive dashboard
Quick setup instructions to install Robot Framework and RobotFramework Dashboard, and verify it is working.
Install the dashboard via pip, check Python and Robot Framework requirements, and view version information.
Manage your test results database, add output XML files, remove runs, and generate dashboards directly from the command line.
Advanced usage examples including combined commands, tagging strategies, aliases, batch imports, message configuration, and performance tips.
Explore the dashboard's interactive pages including Overview, Dashboard, Compare, and detailed suite/test/keyword views.
View detailed statistics for runs, suites, tests, and keywords using charts, tables, and summary visualizations.
Apply filters to analyze trends in your test data and highlight specific tags, amounts or datetime ranges.
Customize dashboard sections, graph layouts, and visualizations to suit your workflow.
Configure dashboard preferences including themes, default views, graph options, and save your settings for consistent team-wide use.
See how robotdashboard is structured internally, from CLI invocation to a rendered dashboard, in both Regular Mode and Server Mode.
Host the dashboard for multi-user access, programmatic updates, and remote server integration.
Extend or replace the default database backend to suit your storage needs, including SQLite, MySQL, or custom implementations.
Use a listener to automatically push test results to the dashboard for every executed run, integrating seamlessly into CI/CD pipelines.
Enable clickable log navigation from dashboard graphs. Covers file naming conventions, local and server usage, and remote log uploads.
Feed merged `--rerunfailed` outputs to the dashboard and see the attempt history of every re-executed test, so retried failures are no longer invisible.
Performance results across different workload sizes, guidance on scaling to hundreds of runs, server response time characteristics, and tips for large result sets.
The video above demonstrates:
Tip: For detailed command-line instructions, check out Basic Command Line Interface (CLI) and Advanced CLI & Examples!
The video above demonstrates:
Tip: For details regarding the dashboard checkout the related parts in the Dashboard Documenation Section!