A
licenseNot graded
qualityD
maintenanceEnables deterministic static analysis of Python code, providing tools to inspect classes, functions, imports, dependencies, and more, without executing the code.
1
MIT
io.github.KoyoYeager/pystub
by KoyoYeager
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TDQS
A3.9/5.0
Scored across 5 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: analyze classifies packages, check dives into specific usage, generate produces stubs, generate_submodule handles C extension submodules, and graph visualizes imports. No overlap.
Naming Consistency5/5
All tool names follow a consistent pattern: lowercase English verbs (analyze, check, generate, graph) with one compound (generate_submodule) that follows the verb_noun convention. No mixing of styles.
Tool Count5/5
5 tools is well-scoped for the domain of import analysis and stub generation, covering detection, inspection, generation (both regular and submodule), and visualization without unnecessary tools.
Completeness4/5
The tool set covers the core workflow: detection, detailed analysis, stub generation for both regular and C extension packages, and visualization. Missing a tool to actually write stubs to disk or apply them, but this can be done externally.
Maintenance
ActivityInactive
ResponsivenessNo issues