2233admin / SALib
pythonmain1c3754814.9K linessynced 1mo ago
Code health
7.8out of 10Good
This codebase scores 7.8 out of 10 on defect risk, which we rate good. It also scores maintainability 8.0 and static performance risk 10.0 out of 10. The three are scored separately and never blended into one number.
- Lines of code
- 14.9K
Recent activity
All commitsCommits
No commits indexed yet.
Decisions
- Warn that results are not meaningful when only one group is definedproposed
- Default group to parameter name when group column is missingproposed
- Use uniform distributions when distribution column is missing or all uniformproposed
- Release process includes documentation, PyPI, and conda-forge deployment checksproposed
- Seed numpy.random in tests for repeatabilityproposed
- Use numpy.random for pseudo-random number generationproposed
Needs attention
36 open- medium severity. ProposedWarn that results are not meaningful when only one group is definedAuto-proposed decision awaiting review
- medium severity. ProposedDefault group to parameter name when group column is missingAuto-proposed decision awaiting review
- medium severity. ProposedUse uniform distributions when distribution column is missing or all uniformAuto-proposed decision awaiting review
- medium severity. ProposedRelease process includes documentation, PyPI, and conda-forge deployment checksAuto-proposed decision awaiting review
- medium severity. ProposedSeed numpy.random in tests for repeatabilityAuto-proposed decision awaiting review
Composition
Open the graphpython 73%shell 9%markdown 8%yaml 7%json 3%Other 2%
Explore this codebase
- Docs0 pages across 39 modules
- ChatAsk this codebase a question and get an answer with its sources
- Files117 files with per-file docs, health and history
- ArchitectureDependency graph, layers, and 0 entry points
- Code healthPer-file scores, 288 open findings, coverage and refactoring targets
- Knowledge graphEntities, communities, and the paths between them
- Change couplingFiles that keep changing together, mined from commit history
- CommitsChange-risk ranked history with agent provenance
- ContributorsBus factor, per-file maintainers, and the human/agent split
- StatsSize class, origin, lifetime churn, rhythm and records
- CostsWhat indexing this snapshot cost, by model and by run