Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-13 00:09 UTC

ets-labs / python-dependency-injector

Dependency injection framework for Python

Python · CythonBSD-3-Clause★ 4,908 stars⑂ 351 forkssince Jan 2015View on GitHub ↗

ets-labs/python-dependency-injector holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (93/100) and lowest on Security (46/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

86
overall / 100
Excellent

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

86
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 72 is calibrated to 86 on the published index scale (record calibration 2026-08-02).

Ownership

ETS LabsOrganization
40 followers4 public repossince Mar 2015

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIdependency-injector4.49.1-26255 days agodependency-injectiondiinversion-of-controliocfactorysingletondesign-patternsflask

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

77Good · 21% of overall
How it's scored
36/36Push recencylast push 1 days ago
9.7/36Commit cadence14/52 weeks with commits
14.9/18Commit volume45 commits in the last year
0/10OpenSSF Scorecard: Maintainedno data
Inputs used
commits_last_year45
human_commit_share0.99
days_since_last_push1
active_weeks_last_year14
How it's scored
27/27Ships releases13 releases published
36/36Release recencylatest release 55 days ago
19.8/27Release cadencea release every ~52.9 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count13
latest_release_tag4.49.1
releases_from_tagsno
days_since_latest_release55
mean_days_between_releases52.9

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

71Good · 17% of overall
How it's scored
59.9/60Stars4,908 stars
21.2/25Forks351 forks
9.4/15Watchers51 watchers
Inputs used
forks351
stars4,908
watchers51
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (BSD-3-Clause)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges7
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicescoveralls.io, shields.io
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

66Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
1.8/22.5Commit distributiontop contributor authored 92% of commits
13.5/13.5Contributor breadth44 contributors
0/10OpenSSF Scorecard: Contributorsno data
Inputs used
bus_factor1
contributors_sampled44
top_contributor_share0.919
How it's scored
29/42Issue resolution69% of issues closed
25.9/30PR acceptance236/273 decided PRs merged
10.4/13Newcomer PR acceptance4/5 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Reviewno data
Inputs used
merged_prs236
open_issues201
closed_issues448
prs_merged_7d1
prs_decided_7d2
prs_merged_30d4
prs_decided_30d5
issue_closed_ratio0.69
closed_unmerged_prs37
first_time_authors_30d5
first_time_prs_merged_30d4
first_time_prs_decided_30d5
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
11.6/25Owner reach40 followers of ets-labs
17.1/25Track record4 public repos, account ~11 yr old
Inputs used
followers40
owner_typeOrganization
is_verified
owner_loginets-labs
public_repos4
account_age_days4,178
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 55 days ago
20/20Version history262 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesdependency-injector
ecosystemspypi
any_deprecatedno
min_days_since_publish55

Engineering Quality

Are baseline engineering and documentation practices in place?

93Exceptional · 19% of overall
How it's scored
24/24CI workflows2 workflow(s)
24/24Tests present
16/16Linter configtox.ini
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://python-dependency-injector.ets-labs.org/
10/10Repository description
10/10Topics18 topics
10/10Wiki
Inputs used
topicspython, dependency-injection, ioc, ioc-container, factory, singleton, design-patterns, dependency-injection-container, dependency-injection-framework, flask, aiohttp, asyncio, python3, python-3, python-2, flask-application, flask-restful, threadlocal
has_wikiyes
homepagehttps://python-dependency-injector.ets-labs.org/
docs_sitehttps://python-dependency-injector.ets-labs.org/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

46Weak · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
25/25Dependabot config
0/25Dependency lockfilespublished library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles
manifestspyproject.toml, requirements-dev.txt, requirements-doc.txt, requirements-ext.txt, setup.cfg, setup.py
has_codeql_workflowno
has_security_policyno
has_dependabot_configyes
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages2
unassessed_packages44
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 2 resolved dependencies against OSV. 44 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

80Excellent · 4% of overall
How it's scored
45/45Agent instructions.cursor/rules/coding-guide.mdc, .cursor/rules/makefile-commands.mdc, .cursor/rules/run-examples.mdc
0/15Machine-readable docs (llms.txt)
11.3/40Legible commit history21 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.212
agent_instruction_files.cursor/rules/coding-guide.mdc, .cursor/rules/makefile-commands.mdc, .cursor/rules/run-examples.mdc
agent_instruction_max_bytes802
How it's scored
18/18One-command bootstrapMakefile, docs/Makefile
22/22Automated tests
11/11Lint / format configtox.ini
11/11Static type checkingsrc/dependency_injector/py.typed
10/10Reproducible environmentDockerfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance1 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependenciesno data
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/dependency_injector/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.01
How it's scored
27/45Type-checkable codePython with type-check config (src/dependency_injector/py.typed)
55/55Manageable file sizes0/428 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes36,557
source_files_sampled428
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexample, examples, samples
Inputs used
example_dirsexample, examples, samples
has_mcp_signalno
api_schema_files
interfaces_expected_of
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

4,908GitHub stars
44contributors
45commits, last 12 months
1days since last push
13releases
1bus factor
201open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 0 ★ / 351 ⇿
0Stars
351Forks
13Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

012525037534082016-052021-062026-08
Major 0Minor 8Patch 5

Each point covers 10 days.

Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPItyping-extensionspyproject.toml
All dependencies 46

Full resolved dependency set from the GitHub dependency graph: 1 direct and 45 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPItyping-extensionsdirect
PyPIaiohttpindirect
PyPIbootstrap-flaskindirect
PyPIboto3indirect
PyPIboto3-stubsindirect
PyPIcoverageindirect
PyPIcython3.1.4indirect
PyPIdependency-injectorindirect
PyPIdjangoindirect
PyPIdjango-bootstrap4indirect
PyPIfast-dependsindirect
PyPIfastapiindirect
PyPIfaststreamindirect
PyPIflake8indirect
PyPIflake8-pyprojectindirect
PyPIflaskindirect
PyPIhttpxindirect
PyPIjinja2indirect
PyPImypyindirect
PyPImypy-boto3-s3indirect
PyPInumpyindirect
PyPIpipindirect
PyPIpydanticindirect
PyPIpydantic-settingsindirect
PyPIpydocstyleindirect
PyPIpygithubindirect
PyPIpytestindirect
PyPIpytest-aiohttpindirect
PyPIpytest-asyncioindirect
PyPIpytest-covindirect
PyPIpytest-flaskindirect
PyPIpyyamlindirect
PyPIredisindirect
PyPIrequestsindirect
PyPIsanicindirect
PyPIsanic-testingindirect
PyPIscipyindirect
PyPIsetuptoolsindirect
PyPIsphinxindirect
PyPIsphinx-autobuildindirect
PyPIsphinx-disqus1.3.0indirect
PyPIsqlalchemyindirect
PyPIstarletteindirect
PyPItoxindirect
PyPIuvicornindirect
PyPIwerkzeugindirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 2 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 44 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.31.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.