Check if there is already an open issue on the topic on GitHub. If there is none, create a new issue.
We probably can! However, we might choose not to, since we try to have a good-enough default setup without unnecessarily increasing the size of the report. That is a delicate balance!
That said, please do file an issue on GitHub with your request. We already made some additions to our reports, and we plan to add the ability of custom configuration in the future. Your feedback will greatly help us to understand the most popular use cases.
You can export the report summary as a JSON profile and integrate it with external tools. This functionality is available both for Jupyter notebooks and in Terminal. See Quick Start guide or browse through Examples to see the implementations.
Unfortunately, not yet.
It happens because we store all the data inside the HTML file itself. We will address this in the later versions of the tool when it will be available as a service.
In the meantime, we suggest using some sampling strategy for your dataset, for instance, random sampling or stratified sampling.
If your dataset is too large, you can define a sampling strategy. See Quick Start guide to see the available options.
We plan to add support for distributed computation in the later version.
We have a Discord community!