Tools to profile performance / benchmark
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- cli, performance
Research direction
Start with the Profiling wiki linked in the issue, then review the references to pyvim, urwid, and python-prompt-toolkit. Define the benchmark or live-profiling scope from those notes before choosing an implementation path. Done means providing a usable benchmark suite or incorporating the relevant profiling approach into the project.
Written by the indexing model from the issue text.
Description
yo
We need a benchmark suite for python-prompt-toolkit and downstream users. Making a benchmark suite may be a lot of work, so far I haven't found a coveralls-type service that can give us that kind of data.
Once we're at the pyvim level it gets kind of tricky to figure where the bottlenecks come from.
In lieu of having a benchmark suit, for live profiling, I've jotted down some notes that gets you surprisingly deep live trace of calls. https://github.com/jonathanslenders/python-prompt-toolkit/wiki/Profiling
It'd be cool to see if we could take some of this and use it to our advantage. Also maybe we can port them from urwid to ppt.
Taking a deeper look into it.
- Dominant language
- Python
- Stars
- 10.6k
- Forks
- 815
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
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.
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