Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-13 01:30 UTC

PaulKov / dpone

Declarative ETL framework for YAML-driven data pipelines

PythonApache-2.0★ 0 stars⑂ 0 forkssince Sep 2026View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

PaulKov/dpone holds a health index of 69 out of 100, placing it in the Good band. It scores highest on Engineering Quality (88/100) and lowest on Community & Adoption (45/100). It was last updated today. A single contributor accounts for most of its recent work.

69
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.

69
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 62 is calibrated to 69 on the published index scale (record calibration 2026-08-02).

Ownership

PaulKovPersonal account
2 followers19 public repossince Nov 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIdpone0.79.018,2782231 day agoetldata-platformdata-engineeringyamldagbigquerypostgresmssqlsql-serverclickhousekafka

Metrics by category

Vitality

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

65Good · 21% of overall

Development activity

49Weak
How it's scored
36/36Push recency — last push 0 days ago
0.7/36Commit cadence — 1/52 weeks with commits
11.9/18Commit volume — 20 commits in the last year
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Inputs used
commits_last_year20
human_commit_share1
days_since_last_push0
active_weeks_last_year1

Release discipline

88Excellent
How it's scored
16.2/27Ships releases — 9 version tags (no GitHub releases)
36/36Release recency — latest release 1 days ago
27/27Release cadence — a release every ~0.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count9
latest_release_tagv0.79.0
releases_from_tagsyes
days_since_latest_release1
mean_days_between_releases0.2
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?

45Weak · 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

77Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

71Good
How it's scored
56.8/80Monthly downloads — 18,278 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdpone
dependents—
ecosystemspypi
total_downloads—
monthly_downloads18,278
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?

46Weak · 23% of overall

Maintainer resilience (bus factor)

10Critical
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 — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

50Moderate
How it's scored
0/42Issue resolution — no issues or no data
20.4/30PR acceptance — 19/28 decided PRs merged
8.8/13Newcomer PR acceptance — 19/28 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/20 approved changesets -- score normalized to 0
Inputs used
merged_prs19
open_issues0
closed_issues0
prs_merged_7d19
prs_decided_7d28
prs_merged_30d19
prs_decided_30d28
issue_closed_ratio—
closed_unmerged_prs9
first_time_authors_30d1
first_time_prs_merged_30d19
first_time_prs_decided_30d28
Excluded from scoring (no data or not applicable): Issue resolution. Remaining weights renormalized.

Ownership & stewardship

43Weak
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
3.4/25Owner reach — 2 followers of PaulKov
21.1/25Track record — 19 public repos, account ~5 yr old
Inputs used
followers2
owner_typeUser
is_verified—
owner_loginPaulKov
public_repos19
account_age_days2,120
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 1 days ago
20/20Version history — 223 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdpone
ecosystemspypi
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 40 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 19 out of 19 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://paulkov.github.io/dpone/
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepage—
docs_sitehttps://paulkov.github.io/dpone/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

65Good · 16% of overall

Security posture

56Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 19 out of 19 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/20 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
0/5Packaging — no data
4/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
5/5SAST — SAST tool is run on all commits
2/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.6
Excluded from scoring (no data or not applicable): Packaging, 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
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_packages23
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:dpone@0.79.0 runtime dependency closure — what installing the published package pulls in — 23 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.

80Excellent · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — .cursor/rules/feature-review-subagents.mdc, .cursor/rules/route-live-wide-certification.mdc, AGENTS.md, docs/AGENTS.md, packages/apache-airflow-providers-dpone/AGENTS.md, packages/dpone-airflow-pack/AGENTS.md, src/dpone/AGENTS.md, tests/AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 20 of 20 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files.cursor/rules/feature-review-subagents.mdc, .cursor/rules/route-live-wide-certification.mdc, AGENTS.md, docs/AGENTS.md, packages/apache-airflow-providers-dpone/AGENTS.md, packages/dpone-airflow-pack/AGENTS.md, src/dpone/AGENTS.md, tests/AGENTS.md
agent_instruction_max_bytes10,312

Verify loop (build / test / typecheck)

67Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — mypy.ini, packages/apache-airflow-providers-dpone/src/airflow/providers/dpone/py.typed, packages/dpone-airflow-pack/src/dpone_airflow_pack/py.typed
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 20
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
8/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsmypy.ini, packages/apache-airflow-providers-dpone/src/airflow/providers/dpone/py.typed, packages/dpone-airflow-pack/src/dpone_airflow_pack/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (mypy.ini, packages/apache-airflow-providers-dpone/src/airflow/providers/dpone/py.typed, packages/dpone-airflow-pack/src/dpone_airflow_pack/py.typed)
54.8/55Manageable file sizes — 25/6,057 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes165,137
source_files_sampled6,057
oversized_source_files25

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
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

0GitHub stars
1contributors
20commits, last 12 months
0days since last push
9releases
1bus factor
0open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 5.6 / 10
5.6aggregate

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 · 2026-09-13 01:30 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests19 out of 19 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/20 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject was created within the last 90 days. Please review its contents carefully
n/aPackagingpackaging workflow not detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
10SASTSAST tool is run on all commits
4Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 12
RegistryPackageVersion constraintManifest
PyPIpyyaml>=6.0.1pyproject.toml
PyPIjinja2>=3.1.0pyproject.toml
PyPIsqlglot==30.12.0pyproject.toml
PyPIpendulum==3.2.0pyproject.toml
PyPIprettytable==3.18.0pyproject.toml
PyPIpytz>=2023.3pyproject.toml
PyPIidna>=3.15pyproject.toml
PyPIrequests>=2.33.0pyproject.toml
PyPIurllib3>=2.7.0pyproject.toml
PyPIijson>=3.3.0pyproject.toml
PyPIjsonschema>=4.23,<5pyproject.toml
PyPIdpone-airflow-pack==0.79.0pyproject.toml
All dependencies 202

Full resolved dependency set from the GitHub dependency graph: 13 direct and 189 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdpone-airflow-pack0.79.0direct
PyPIidna3.17direct
PyPIijson3.5.0direct
PyPIjinja23.1.6direct
PyPIjsonschema4.26.0direct
PyPIpendulum3.2.0direct
PyPIprettytable3.18.0direct
PyPIpytz2025.2direct
PyPIpyyaml—direct
PyPIpyyaml6.0.3direct
PyPIrequests2.34.2direct
PyPIsqlglot30.12.0direct
PyPIurllib32.7.0direct
PyPIagate1.9.1indirect
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiohttp3.14.3indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.13.0indirect
PyPIapache-airflow—indirect
PyPIapache-airflow-providers-cncf-kubernetes—indirect
PyPIargon2-cffi25.1.0indirect
PyPIargon2-cffi-bindings25.1.0indirect
PyPIattrs26.1.0indirect
PyPIauthlib1.7.2indirect
PyPIazure-core1.41.0indirect
PyPIazure-identity1.25.3indirect
PyPIazure-storage-blob12.29.0indirect
PyPIbabel2.18.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbackrefs5.9indirect
PyPIboto31.43.23indirect
PyPIbotocore1.43.23indirect
PyPIcachetools6.2.6indirect
PyPIcertifi2025.11.12indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.4indirect
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PyPIclickhouse-cityhash1.0.2.5indirect
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PyPIclickhouse-driver0.2.10indirect
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PyPIcryptography50.0.0indirect
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PyPIdbt-common1.38.0indirect
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PyPIdbt-protos1.0.541indirect
PyPIdbt-sqlserver1.11.1indirect
PyPIdeepdiff8.6.2indirect
PyPIdistlib0.4.0indirect
PyPIdocutils0.23indirect
PyPIdpone0.79.0indirect
PyPIdpone-native-accel0.79.0indirect
PyPIdurationpy0.10indirect
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PyPIfilelock3.25.2indirect
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PyPIghp-import2.1.0indirect
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PyPIgoogle-auth2.53.0indirect
PyPIgoogle-auth-oauthlib1.4.0indirect
PyPIgoogle-cloud-bigquery3.42.2indirect
PyPIgoogle-cloud-core2.5.0indirect
PyPIgoogle-cloud-storage3.12.1indirect
PyPIgoogle-crc32c1.8.0indirect
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PyPIgoogleapis-common-protos1.72.0indirect
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PyPIhvac2.4.0indirect
PyPIid1.6.1indirect
PyPIidentify2.6.17indirect
PyPIimportlib-metadata8.9.0indirect
PyPIiniconfig2.3.0indirect
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PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.5.0indirect
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PyPIjmespath1.1.0indirect
PyPIjoserfc1.7.0indirect
PyPIjsonschema-specifications2025.9.1indirect
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PyPIkubernetes36.0.3indirect
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PyPImdurl0.1.2indirect
PyPImergedeep1.3.4indirect
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PyPIminio7.2.20indirect
PyPImkdocs—indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-material—indirect
PyPImkdocs-material9.7.7indirect
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PyPImore-itertools10.8.0indirect
PyPImsal1.37.0indirect
PyPImsal-extensions1.3.1indirect
PyPImsgpack1.2.1indirect
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PyPImypy1.19.1indirect
PyPImypy-extensions1.1.0indirect
PyPInetworkx3.6.1indirect
PyPInh30.3.5indirect
PyPInodeenv1.10.0indirect
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PyPIoauthlib3.3.1indirect
PyPIopentelemetry-api1.44.0indirect
PyPIorderly-set5.5.0indirect
PyPIorjson3.11.9indirect
PyPIpackaging25.0indirect
PyPIpaginate0.5.7indirect
PyPIpandas2.1.4indirect
PyPIparsedatetime2.6indirect
PyPIpathspec0.12.1indirect
PyPIplatformdirs4.9.4indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.5.1indirect
PyPIpropcache0.5.2indirect
PyPIproto-plus1.27.0indirect
PyPIprotobuf6.33.6indirect
PyPIpsycopg3.3.4indirect
PyPIpsycopg-binary3.3.4indirect
PyPIpyarrow23.0.1indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpycryptodome3.23.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpymdown-extensions—indirect
PyPIpymdown-extensions11.0.1indirect
PyPIpymysql1.2.0indirect
PyPIpyodbc5.3.0indirect
PyPIpyopenssl26.4.0indirect
PyPIpytest9.0.3indirect
PyPIpytest-cov7.0.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.1.3indirect
PyPIpython-dotenv1.2.3indirect
PyPIpython-slugify8.0.4indirect
PyPIpytimeparse1.1.8indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIradon6.0.1indirect
PyPIrapidfuzz3.14.5indirect
PyPIreadme-renderer44.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich15.0.0indirect
PyPIrpds-py2026.5.1indirect
PyPIruff0.15.6indirect
PyPIs3transfer0.18.0indirect
PyPIsecretstorage3.5.0indirect
PyPIsix1.17.0indirect
PyPIsnowplow-tracker1.1.0indirect
PyPIsqlparse0.6.0indirect
PyPItabulate0.10.0indirect
PyPItext-unidecode1.3indirect
PyPItomli2.4.0indirect
PyPItwine6.2.0indirect
PyPItypes-pyyaml6.0.12.20250915indirect
PyPItypes-requests2.32.4.20260107indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.3indirect
PyPItzlocal5.3.1indirect
PyPIuv-build—indirect
PyPIvault-kv-client0.1.0indirect
PyPIvirtualenv21.2.0indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.8.2indirect
PyPIwebsocket-client1.9.0indirect
PyPIyarl1.24.2indirect
PyPIzipp4.1.0indirect
PyPIzstandard0.25.0indirect
PyPIzstd1.5.7.2indirect
Dependency advisories 0

Installing pypi:dpone@0.79.0 pulls in 23 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

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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.