# Visualizing results

A key part of verification is visualizing the results. veriflow does not include built-in visualization capabilities, but the output dataset produced by veriflow can be easily visualized using a wide range of tools that support the xarray and/or netCDF data formats.

Some examples of tools that can be used to visualize the output dataset include:

- Python libraries such as `xarray`, `matplotlib`, `seaborn`, `plotly`, and `hvplot` for creating custom visualizations.
- For interactive visualization, we've successfully used `Jupyter Notebooks` and `Jupyter Lab` to explore the output dataset and create visualizations.
- For more advanced visualization and dashboarding, tools like `Dash` work really well with the output dataset produced by veriflow, and allow you to create interactive dashboards to explore the verification results. An example is included in our tutorial gallery.