# Application Components ## CLI The QAIRT Visualizer tool has a CLI option to quickly and easily visualize one or more models and/or reports. See [Setup](https://docs.qualcomm.com/doc/80-87189-1/topic/setup.html#setup) and [Visualize graphs in QAIRT Visualizer](https://docs.qualcomm.com/doc/80-87189-1/topic/visualization.html#visualization) for more details. ## Standalone GUI app The QAIRT Visualizer package comes with a GUI application, which provides workspaces to easily manage files for viewing models and reports. The full GUI application is launched by running `qairt-visualizer` without arguments. See [Run QAIRT Visualizer using CLI](https://docs.qualcomm.com/doc/80-87189-1/topic/run-qairt-visualizer.html#run-qairt-cli) for more details. ### Workspace A QAIRT Visualizer workspace encapsulates AI models and reports, either individually or in aggregate. #### AI models Supported model types are shown when uploading a model to the QAIRT Visualizer tool. Loading a model opens the graph panel to visualize. #### Reports Reports can be loaded to the QAIRT Visualizer tool, including QHAS, profiling metrics, and Optrace analysis. Each report will reside in its own panel in a given workspace. ## Python The QAIRT Visualizer tool comes with a Python API for viewing models and reports that can be leveraged within a Python session. The QAIRT Visualizer Python API also supports displaying visual components inside a Jupyter Notebook. See [Run QAIRT Visualizer using Python](https://docs.qualcomm.com/doc/80-87189-1/topic/run-qairt-visualizer.html#use-py) for more details. ## Next steps: run QAIRT Visualizer See [Run QAIRT Visualizer](https://docs.qualcomm.com/doc/80-87189-1/topic/run-qairt-visualizer.html#run-qairt-visualizer) for tutorials on how to run QAIRT Visualizer. Last Published: Aug 19, 2026 [Previous Topic Next steps: review application components](https://docs.qualcomm.com/bundle/publicresource/80-87189-1/topics/setup.md) [Next Topic Tutorials](https://docs.qualcomm.com/bundle/publicresource/80-87189-1/topics/tutorials.md)