import-deps
find python module imports
Decision gist · record as of 2026-08-14
Yes, if you need static import analysis for code quality or architecture review within a single package. The tool is stable (MIT, no vulnerabilities, low install friction) and supports current Python versions. Install with caution if your project depends on frequent updates—maintenance is aging and the last release was 217 days ago, so it may lag behind new Python versions or edge cases.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.10; the package analyzes only imports within a known set of modules you provide, not external dependencies.
- Low friction install with no runtime dependencies.
- Maintenance status is aging—last release was 217 days ago and the repository shows minimal recent activity, though it remains archived=false and supports current Python versions (3.10–3.14).
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you may use, modify, and distribute this package freely with minimal restrictions.
last release 2026-01-09 (217 days) · last repo commit 2026-02-07 · 25 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,539,820 downloads/mo, #3,788 on PyPI
Alternatives
Verify before relying
pip install import-deps
# CLI: analyze a package
import_deps foo/ --json
# Library: track imports within a module set
from import_deps import ModuleSet
module_set = ModuleSet(['foo/foo_a.py', 'foo/foo_b.py'])
for imp in module_set.mod_imports('foo.foo_a'):
print(imp)- Whether the aging maintenance status (217 days since last release) affects reliability for new Python versions beyond 3.14.
- Performance characteristics on large codebases (the fact sheet does not specify scalability limits).
What it is and what it does
import_deps is a static import analyzer built on the ast module from the standard library that maps which modules import which other modules within a package, without executing any code. It works as both a CLI tool and a library, letting you discover direct and transitive import relationships, detect patterns like circular dependencies, re-imports, and inner imports, and visualize dependency graphs in DOT format.
The tool is designed for code quality workflows: you give it a set of Python files or a package directory, and it reports what each module imports from the others. It can output results as plain text, JSON, or a dependency graph, and includes checks useful for enforcing import patterns in CI/CD pipelines. It also supports topological sorting to order modules by their dependency depth.
Use it for
- Detect circular dependencies in a package to identify and refactor problematic import cycles.
- Enforce import patterns by checking for re-imports or inner imports within a codebase.
- Visualize internal module dependencies as a graph for documentation or architecture review.
- Generate a topological sort of modules for build systems or dependency-aware execution order.
- Run checks in CI/CD pipelines to enforce consistent import style across a package.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need static import analysis for code quality or architecture review within a single package.
The tool is stable (MIT, no vulnerabilities, low install friction) and supports current Python versions. Install with caution if your project depends on frequent updates—maintenance is aging and the last release was 217 days ago, so it may lag behind new Python versions or edge cases.
Install
import-deps on PyPI
Before you install
Low friction install with no runtime dependencies. Maintenance status is aging—last release was 217 days ago and the repository shows minimal recent activity, though it remains archived=false and supports current Python versions (3.10–3.14).
Requires Python >=3.10; the package analyzes only imports within a known set of modules you provide, not external dependencies.
License in practice
MIT license is permissive; you may use, modify, and distribute this package freely with minimal restrictions.
Quickstart
pip install import-deps
# CLI: analyze a package
import_deps foo/ --json
# Library: track imports within a module set
from import_deps import ModuleSet
module_set = ModuleSet(['foo/foo_a.py', 'foo/foo_b.py'])
for imp in module_set.mod_imports('foo.foo_a'):
print(imp)Verify before relying
- Whether the aging maintenance status (217 days since last release) affects reliability for new Python versions beyond 3.14.
- Performance characteristics on large codebases (the fact sheet does not specify scalability limits).
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Aging 217 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,539,820 / month, #3,788 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseNatural Language :: EnglishOperating System :: OS IndependentOperating System :: POSIXProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Software Development :: Quality Assurance |
Evidence: import_deps-0.5.1-py3-none-any.whl
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See also py-import-cycles · pyan3 · importlab · mo-imports · tach · aspy.refactor-imports · pydeps · pytest-archon · cyclic · modulegraph