Public record
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-15 06:59 UTC

financial-reports / financial-reports-python

Auto-generated Python SDK for the FinancialReports API

PythonNo license detected★ 0 stars⑂ 0 forkssince Apr 2025View on GitHub ↗

financial-reports/financial-reports-python holds a health index of 31 out of 100, placing it in the At risk band. It scores highest on Engineering Quality (60/100) and lowest on Security (1/100). It was last updated today. A single contributor accounts for most of its recent work.

31
overall / 100
At risk

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.

31
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe 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.

Ownership

FinancialReportsOrganization
5 followers4 public repossince May 2021

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIfinancial_reports_generated_clientpoints to another repo — not scored1.4.45-730 days agoopenapiopenapi-generatorfinancialreports-api

Metrics by category

Vitality

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

44At risk · 22% of overall
How it's scored
36/36Push recency — last push 0 days ago
13.8/36Commit cadence — 20/52 weeks with commits
16.2/18Commit volume — 63 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year63
human_commit_share
days_since_last_push0
active_weeks_last_year20
How it's scored
0/27Ships releases — no releases published
0/36Release recency — no releases
0/27Release cadence — no releases
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count0

Community & Adoption

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

12Critical · 18% of overall
How it's scored
0/60Stars — 0 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
0/22.5License — no license file detected
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseno
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno

Sustainability & Governance

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

30At risk · 24% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.3/22.5Commit distribution — top contributor authored 99% of commits
2.7/13.5Contributor breadth — 2 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.987
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
5.6/25Owner reach — 5 followers of financial-reports
15.4/25Track record — 4 public repos, account ~5 yr old
Inputs used
followers5
owner_typeOrganization
is_verified
owner_loginfinancial-reports
public_repos4
account_age_days1,876

Engineering Quality

Are baseline engineering and documentation practices in place?

60Moderate · 20% of overall
How it's scored
0/24CI workflows
24/24Tests present
16/16Linter config — tox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_cino
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepage
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

1Critical · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles
manifestspyproject.toml, requirements.txt, setup.cfg, setup.py
has_codeql_workflowno
has_security_policyno
has_dependabot_configno

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.

43At risk · 0% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — tox.ini
11/11Static type checking — financial_reports_generated_client/py.typed
0/10Reproducible environment
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configsfinancial_reports_generated_client/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
How it's scored
27/45Type-checkable code — Python with type-check config (financial_reports_generated_client/py.typed)
54.1/55Manageable file sizes — 4/249 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes111,523
source_files_sampled249
oversized_source_files4

Key facts

0GitHub stars
2contributors
63commits, last 12 months
0days since last push
0releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • pypi package 'financial_reports_generated_client' points at a different repository (https://github.com/GIT_USER_ID/GIT_REPO_ID); excluded from ecosystem scoring
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPIpython-dateutil(>=2.8.2)pyproject.toml
PyPIaiohttp(>=3.13.5)pyproject.toml
PyPIaiohttp-retry(>=2.8.3)pyproject.toml
PyPIpydantic(>=2.11)pyproject.toml
PyPItyping-extensions(>=4.7.1)pyproject.toml
All dependencies 59

Full resolved dependency set from the GitHub dependency graph: 10 direct and 49 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIpython-dateutil2.9.0.post0direct
PyPIpython-dateutildirect
PyPItyping-extensions4.16.0direct
PyPItyping-extensionsdirect
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PyPIaiosignal1.4.0indirect
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PyPImypy1.19.1indirect
PyPImypyindirect
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PyPItypes-python-dateutilindirect
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Raw JSON report machine-readable
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          "commits": 78,
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        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "pypi package 'financial_reports_generated_client' points at a different repository (https://github.com/GIT_USER_ID/GIT_REPO_ID); excluded from ecosystem scoring",
    "OpenSSF Scorecard timed out after 240s; skipping Scorecard checks"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-15T06:59:24.350045Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/f/financial-reports/financial-reports-python.svg",
  "full_name": "financial-reports/financial-reports-python",
  "license_state": "absent",
  "license_spdx": null
}

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 v1.13.0, schema v0.11.0 — full methodology · metrics wiki.

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