Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-19 10:50 UTC

tks18 / personal-finance-etl

Local-first financial data engineering and quantitative decision-support platform for reconciled personal finance, investment analytics, tax evidence, FIRE simulation, and BI.

PythonGPL-3.0★ 2 stars⑂ 0 forkssince Jul 2026View on GitHub ↗
KindCommand-line toolLibraryDesktop applicationhow this is determined

tks18/personal-finance-etl holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Vitality (83/100) and lowest on Community & Adoption (47/100). It was last updated today. A single contributor accounts for most of its recent work.

78
overall / 100
Good

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.

78
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 67 is calibrated to 78 on the published index scale (record calibration 2026-08-02).

Ownership

Sudharshan TKPersonal account
130 followers88 public repossince Aug 2019Fractal.AI

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

Metrics by category

Vitality

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

83Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
8.3/36Commit cadence — 12/52 weeks with commits
18/18Commit volume — 1,884 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,884
human_commit_share1
days_since_last_push0
active_weeks_last_year12

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~0.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tag9.2.6
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases0.4
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

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

47Weak · 17% of overall
How it's scored
0/60Stars — 2 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars2
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (GPL-3.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges8
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesapp.codacy.com, shields.io
has_pull_request_templateyes
How it's scored
45.7/80Monthly downloads — 2,689 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespersonal-finance-etl
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,689
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

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

60Moderate · 23% of overall
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
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1
How it's scored
0/42Issue resolution — no issues or no data
30/30PR acceptance — 16/16 decided PRs merged
13/13Newcomer PR acceptance — 16/16 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/6 approved changesets -- score normalized to 0
Inputs used
merged_prs16
open_issues0
closed_issues0
prs_merged_7d16
prs_decided_7d16
prs_merged_30d16
prs_decided_30d16
issue_closed_ratio—
closed_unmerged_prs0
first_time_authors_30d1
first_time_prs_merged_30d16
first_time_prs_decided_30d16
Excluded from scoring (no data or not applicable): Issue resolution. Remaining weights renormalized.
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
15.2/25Owner reach — 130 followers of tks18
25/25Track record — 88 public repos, account ~7 yr old
Inputs used
followers130
owner_typeUser
is_verified—
owner_logintks18
public_repos88
account_age_days2,612
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 57 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespersonal-finance-etl
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

83Excellent · 19% of overall
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
16/16Linter config — .flake8, .pylintrc, ruff.toml
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
2/20OpenSSF Scorecard: CI-Tests — 1 out of 6 merged PRs checked by a CI test -- score normalized to 1
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 site — https://pypi.org/project/personal-finance-etl/
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicsinvestment-analysis, personal-finance, polars, analytics-engineering, data-engineering, duckdb, etl, financial-analytics, fire, power-bi, python, sqlite3, data-lineage, etl-pipeline, fifo, local-first, monte-carlo-simulation, portfolio-analytics, quantitative-finance, tax-analytics
has_wikiyes
homepagehttps://pypi.org/project/personal-finance-etl/
docs_sitehttps://pypi.org/project/personal-finance-etl/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

59Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
0.2/2.5CI-Tests — 1 out of 6 merged PRs checked by a CI test -- score normalized to 1
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/6 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — no data
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
5.2/7.5Vulnerabilities — 3 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4.9
Excluded from scoring (no data or not applicable): Packaging, Pinned-Dependencies, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories6
affected_packages1
assessed_packages95
unassessed_packages0
affected_by_severityhigh 1
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 95 resolved dependencies against OSV. 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.

57Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 100 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .flake8, .pylintrc, ruff.toml
11/11Static type checking — mypy.ini, pyrightconfig.json
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock, yarn.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsmypy.ini, pyrightconfig.json
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.
How it's scored
27/45Type-checkable code — Python with type-check config (mypy.ini, pyrightconfig.json)
54.7/55Manageable file sizes — 1/181 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes5,575,485
source_files_sampled181
oversized_source_files1

Key facts

2GitHub stars
1contributors
1,884commits, last 12 months
0days since last push
100releases
1bus factor
0open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch npm package 'personal-finance-etl' from its registry
  • deps.dev does not index pypi:personal-finance-etl@9.2.6; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 4.9 / 10
4.9aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-10-19 10:50 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
1CI-Tests1 out of 6 merged PRs checked by a CI test -- score normalized to 1
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/6 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
n/aPinned-Dependenciesno dependencies found
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7Vulnerabilities3 existing vulnerabilities detected
Direct dependencies 20
RegistryPackageVersion constraintManifest
PyPIcustomtkinter>=6.0.0pyproject.toml
PyPIduckdb>=1.5.5pyproject.toml
PyPIfastexcel>=0.20.2pyproject.toml
PyPImarkdown>=3.7pyproject.toml
PyPInumba>=0.66.0pyproject.toml
PyPIpillow>=12.3.0pyproject.toml
PyPIpolars>=1.42.1pyproject.toml
PyPIpsutil>=7.2.2pyproject.toml
PyPIpyarrow>=25.0.0pyproject.toml
PyPIpydantic>=2.13.4pyproject.toml
PyPIpython-dateutil>=2.9.0.post0pyproject.toml
PyPIpyxirr>=0.10.8pyproject.toml
PyPIpywebview>=5.3.2pyproject.toml
PyPIrich>=15.0.0pyproject.toml
PyPItkcalendar>=1.6.1pyproject.toml
PyPItypes-psutil>=7.2.2.20260518pyproject.toml
PyPItypes-python-dateutil>=2.9.0.20260716pyproject.toml
PyPIyfinance>=1.5.1pyproject.toml
PyPIuuid>=1.30pyproject.toml
PyPIfilelock>=4.0.3pyproject.toml
All dependencies 95

Full resolved dependency set from the GitHub dependency graph: 20 direct and 75 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcustomtkinter6.0.0direct
PyPIduckdb1.5.5direct
PyPIfastexcel0.20.2direct
PyPIfilelock4.0.3direct
PyPImarkdown3.10.3direct
PyPInumba0.66.0direct
PyPIpillow12.3.0direct
PyPIpolars1.42.1direct
PyPIpsutil7.2.2direct
PyPIpyarrow25.0.0direct
PyPIpydantic2.13.4direct
PyPIpython-dateutil2.9.0.post0direct
PyPIpywebview6.2.1direct
PyPIpyxirr0.10.8direct
PyPIrich15.0.0direct
PyPItkcalendar1.6.1direct
PyPItypes-psutil7.2.2.20260518direct
PyPItypes-python-dateutil2.9.0.20260716direct
PyPIuuid1.30direct
PyPIyfinance1.5.1direct
PyPIaltgraph0.17.5indirect
PyPIannotated-types0.8.0indirect
PyPIast-serialize0.6.0indirect
PyPIastroid4.3.4indirect
PyPIbabel2.18.0indirect
PyPIbeautifulsoup44.15.0indirect
PyPIbottle0.13.4indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.1.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclr-loader0.3.1indirect
PyPIcolorama0.4.6indirect
PyPIcurl-cffi0.15.0indirect
PyPIdarkdetect0.8.0indirect
PyPIdill0.4.1indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.1indirect
PyPIisort9.0.2indirect
PyPIlibrt0.13.0indirect
PyPIllvmlite0.48.0indirect
PyPImacholib1.16.4indirect
PyPImarkdown-it-py4.2.0indirect
PyPImccabe0.7.0indirect
PyPImdurl0.1.2indirect
PyPImultitasking0.0.13indirect
PyPImypy2.3.0indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.10.0indirect
PyPInumpy2.4.6indirect
PyPIpackaging26.2indirect
PyPIpandas3.0.3indirect
PyPIpastel0.2.1indirect
PyPIpathspec1.1.1indirect
PyPIpeewee4.2.6indirect
PyPIpefile2024.8.26indirect
PyPIpersonal-finance-etl9.2.6indirect
PyPIplatformdirs4.10.1indirect
PyPIpluggy1.7.0indirect
PyPIpoethepoet0.48.0indirect
PyPIpolars-runtime-321.42.1indirect
PyPIprotobuf7.35.1indirect
PyPIproxy-tools0.1.0indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.20.0indirect
PyPIpyinstaller6.21.0indirect
PyPIpyinstaller-hooks-contrib2026.6indirect
PyPIpylint4.1.3indirect
PyPIpyobjc-core12.2.2indirect
PyPIpyobjc-framework-cocoa12.2.2indirect
PyPIpyobjc-framework-quartz12.2.2indirect
PyPIpyobjc-framework-security12.2.2indirect
PyPIpyobjc-framework-uniformtypeidentifiers12.2.2indirect
PyPIpyobjc-framework-webkit12.2.2indirect
PyPIpyright1.1.414indirect
PyPIpytest9.1.1indirect
PyPIpythonnet3.1.0indirect
PyPIpytz2026.2indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIqtpy2.4.3indirect
PyPIrequests2.34.2indirect
PyPIruff0.15.22indirect
PyPIsetuptools83.0.0indirect
PyPIsix1.17.0indirect
PyPIsoupsieve2.9indirect
PyPItkreload1.0.4indirect
PyPItomlkit0.15.2indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPIurllib32.7.0indirect
PyPIvulture2.16indirect
PyPIwatchdog6.0.0indirect
PyPIwebsockets16.1.1indirect
Dependency advisories 1

This repository publishes no package the index resolves, so its own dependency graph was assessed — 95 packages, which also include development and test pins that never ship: 1 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
urllib32.7.0indirecthigh62.8.0

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 v0.34.0 — full methodology · metrics wiki.

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