Improve performance by parallelizing dependency analysis
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 210
- Forks
- 36
- Avg merge
- 1d 10h
- Merged PRs (30d)
- 2
Description
We analyze the dependencies of a project sequentially at the moment using a shared registry instance. To improve performance we need analyze the dependencies in parallel potentially in separate processes.
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
Start by reading src/macaron/slsa_analyzer/registry.py at the linked registry instance and trace how dependency analysis currently runs sequentially. Determine how parallel analysis can work with the shared registry, then verify that dependency analysis completes correctly when run in parallel and that performance improves.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- performance, security
- Issue type
- Refactor
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100