Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-06 00:21 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 Community & Adoption (12/100). It was last updated 12 days ago. 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, 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.

31
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 37 is calibrated to 31 on the published index scale (record calibration 2026-08-02).

Ownership

FinancialReportsOrganization
4 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 scored1.4.62-9012 days agoopenapiopenapi-generatorfinancialfilings-api

Metrics by category

Vitality

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

55Moderate · 21% of overall

Development activity

33At Risk
How it's scored
28.8/36Push recency — last push 12 days ago
0.4/36Commit cadence — 23/52 weeks with commits, discounted for automation: 1 of the last 96 commits human-authored, spanning 496 days
0.4/18Commit volume — 73 commits in the last year, discounted for automation: 1 of the last 96 commits human-authored, spanning 496 days
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year73
human_commit_share0.01
days_since_last_push12
active_weeks_last_year23

Release discipline

88Excellent
How it's scored
16.2/27Ships releases — 94 version tags (no GitHub releases)
36/36Release recency — latest release 12 days ago
27/27Release cadence — a release every ~2.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count94
latest_release_tagv1.4.62
releases_from_tagsyes
days_since_latest_release12
mean_days_between_releases2.2

Community & Adoption

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

12Critical · 17% of overall

Popularity & adoption

1Critical
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

Community health

25At Risk
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
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

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

30At Risk · 23% of overall

Maintainer resilience (bus factor)

12Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Ownership & stewardship

51Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
5/25Owner reach — 4 followers of financial-reports
15.7/25Track record — 4 public repos, account ~5 yr old
Inputs used
followers4
owner_typeOrganization
is_verifiedno
owner_loginfinancial-reports
public_repos4
account_age_days1,929

Engineering Quality

Are baseline engineering and documentation practices in place?

60Moderate · 19% of overall

Engineering practices

50Moderate
How it's scored
0/24CI workflows
24/24Tests present
16/16Linter config — pyproject.toml ([tool.pylint]), setup.cfg ([flake8]), 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

Documentation

75Good
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—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

21At Risk · 16% of overall

Security posture

1Critical
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

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages17
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:financial_reports_generated_client@1.4.62 runtime dependency closure — what installing the published package pulls in — 17 packages. 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.

46Weak · 4% of overall

Agent context & guidance

25At Risk
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://financialfilings.com/llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtyes
llms_txt_urlhttps://financialfilings.com/llms.txt
legible_history_share—
agent_instruction_files—
agent_instruction_max_bytes—
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

49Weak
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.pylint]), setup.cfg ([flake8]), tox.ini
11/11Static type checking — financial_reports_generated_client/py.typed
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 96
0/8Automated maintenance — no automated dependency updates observed
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_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (financial_reports_generated_client/py.typed)
54.2/55Manageable file sizes — 4/275 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes111,523
source_files_sampled275
oversized_source_files4

Key facts

0GitHub stars
1contributors
73commits, last 12 months
12days since last push
94releases
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(>=3.14.1)pyproject.toml
PyPIaiohttp-retry(>=2.8.3)pyproject.toml
PyPIpydantic(>=2.11)pyproject.toml
PyPItyping-extensions(>=4.7.1)pyproject.toml
All dependencies 58

Full resolved dependency set from the GitHub dependency graph: 10 direct and 48 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiohttp—direct
PyPIaiohttp3.14.3direct
PyPIaiohttp-retry—direct
PyPIaiohttp-retry2.9.1direct
PyPIpydantic—direct
PyPIpydantic2.13.4direct
PyPIpython-dateutil—direct
PyPIpython-dateutil2.9.0.post0direct
PyPItyping-extensions—direct
PyPItyping-extensions4.16.0direct
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-types0.8.0indirect
PyPIast-serialize0.8.0indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs26.1.0indirect
PyPIcachetools7.1.7indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.15.4indirect
PyPIdistlib0.4.3indirect
PyPIexceptiongroup1.3.1indirect
PyPIfilelock3.32.4indirect
PyPIflake8—indirect
PyPIflake87.3.0indirect
PyPIfrozenlist1.8.0indirect
PyPIidna3.19indirect
PyPIiniconfig2.3.0indirect
PyPIlibrt0.15.0indirect
PyPImccabe0.7.0indirect
PyPImultidict6.7.1indirect
PyPImypy—indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPIpackaging26.3indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.11.4indirect
PyPIpluggy1.6.0indirect
PyPIpropcache0.5.2indirect
PyPIpycodestyle2.14.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.21.0indirect
PyPIpyproject-api1.11.0indirect
PyPIpytest—indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov—indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-discovery1.5.3indirect
PyPIsix1.17.0indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItox—indirect
PyPItox4.60.0indirect
PyPItypes-python-dateutil—indirect
PyPItypes-python-dateutil2.9.0.20260807indirect
PyPItyping-inspection0.4.4indirect
PyPIvirtualenv21.7.4indirect
PyPIyarl1.24.5indirect
Dependency advisories 0

Installing pypi:financial_reports_generated_client@1.4.62 pulls in 17 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

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

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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 v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.