Comments (3)
nhick
commented on September 12, 2024
Should this be implemented as part of flamescope? Currently this capability does not exist in the heatmap implementation heatmap2-d3. I'd opt to implement it there, possibly a heatmap().quantizeLegend() method, and then enable it here. Does that approach make sense?
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bahtiyarkaba
commented on September 12, 2024
There has not been any activity here for some time, I could look into this and see what I can do if no one's up to it.
I agree doing in it in heatmap plugin and integrating here. I'll go over the heatmap repo.
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spiermar
commented on September 12, 2024
@bahtiyarkaba missed the comment here. Sure, feel free to submit PRs to the heatmap plugin repo and I'll merge it there and make the changes here.
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Related Issues (20)
- Use npm or yarn (not both) HOT 1
- add an upload endpoint HOT 2
- more caching in parsed events
- Adding eBPF profiler support HOT 1
- Python 3.8 doesn't work with Werkzeug 0.15.3 in current requirements.txt HOT 2
- Can I ask where is the pip package? HOT 1
- ImportError: cannot import name 'Feature' from 'setuptools' HOT 4
- perf flamegraphs: no tooltips HOT 5
- Heatmap offsets memory cache not being populated
- Missing samples in what flamescope displays HOT 2
- missing button icons
- sluggish interaction with d3 plugins HOT 1
- No pre-built client bundle in the master branch HOT 4
- Add y-axis label markers to help people understand the visualisation HOT 2
- HTTP ERROR 404 HOT 1
- Nothing at this URL HOT 10
- Support filtering by CPU or task HOT 1
- Is it possible to add a new record player or delete function on the web? HOT 1
- How do you use these two functions? (Open as Netflix Profile/Open as Chrome CPU Profile) HOT 1
- Idle regexp eats up softirq frames HOT 2
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