tensorflow / tensorflow/tensorboard
Speed up the rendering of big amount of data
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Nobody has claimed this yet.
core:backend
plugin:scalars
theme:performance
type:bug
- Dominant language
- TypeScript
- Stars
- 7.2k
- Forks
- 1.7k
- Avg merge
- 4d 22h
- Merged PRs (30d)
- 1
Description
For big amounts of data it take very long to render them. To speed up the rendering we could, for example, limit the number of points rendered per plot (by rendering each n-th point) and allow user to increase/decrease resolution if needed.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files, tests, or entry points. Start by locating the plot rendering path for large datasets and determine where the number of rendered points can be controlled. Done means large plots render faster while users can increase or decrease the displayed resolution.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- typescript
- Domain
- data-visualization, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100