Public record
Software health reportschema 0.26.0 · metrics 2.10.0 · 2026-07-22 14:37 UTC

PaulKov / dpone

Declarative ETL framework for YAML-driven data pipelines

PythonApache-2.0★ 2 stars⑂ 1 forksince Jun 2026View on GitHub ↗

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 Sustainability & Governance (41/100). 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
1 follower19 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
PyPIdpone0.73.1525,0621660 days agoetldata-platformdata-engineeringyamldagbigquerypostgresmssqlsql-serverclickhousekafka

Metrics by category

Vitality

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

72Good · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
5.5/36Commit cadence8/52 weeks with commits
18/18Commit volume1,054 commits in the last year
0/10OpenSSF Scorecard: Maintainedproject was created within the last 90 days. Please review its contents carefully
Inputs used
commits_last_year1,054
human_commit_share1
days_since_last_push0
active_weeks_last_year8
How it's scored
27/27Ships releases100 releases published
36/36Release recencylatest release 0 days ago
27/27Release cadencea release every ~0.5 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv0.73.15
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases0.5

Community & Adoption

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

46Weak · 17% of overall
How it's scored
0/60Stars2 stars
0/25Forks1 forks
0/15Watchers0 watchers
Inputs used
forks1
stars2
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized 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_badges
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateyes
How it's scored
58.7/80Monthly downloads25,062 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesdpone
dependents
ecosystemspypi
total_downloads
monthly_downloads25,062
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?

41Weak · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0.4/22.5Commit distributiontop contributor authored 98% of commits
2.7/13.5Contributor breadth2 contributors
0/10OpenSSF Scorecard: Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.981
How it's scored
0/42Issue resolution0% of issues closed
24.2/30PR acceptance323/400 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/24 approved changesets -- score normalized to 0
Inputs used
merged_prs323
open_issues3
closed_issues0
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0
closed_unmerged_prs77
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
2.2/25Owner reach1 followers of PaulKov
20.8/25Track record19 public repos, account ~5 yr old
Inputs used
followers1
owner_typeUser
is_verified
owner_loginPaulKov
public_repos19
account_age_days2,068
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 0 days ago
20/20Version history166 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesdpone
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall
How it's scored
24/24CI workflows26 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests24 out of 24 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 sitehttps://paulkov.github.io/dpone/
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics
has_wikino
homepagehttps://paulkov.github.io/dpone/
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?

62Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
3/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests24 out of 24 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 0/24 approved changesets -- score normalized to 0
0/2.5Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
0/7.5Maintainedproject was created within the last 90 days. Please review its contents carefully
5/5Packagingpackaging workflow detected
4/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
5/5SASTSAST tool is run on all commits
2/5Security-Policysecurity policy file detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
5.2/7.5Vulnerabilities3 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.2

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
advisories5
affected_packages1
assessed_packages189
unassessed_packages7
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 189 resolved dependencies against OSV. 7 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.

84Excellent · 4% of overall
How it's scored
45/45Agent instructionsAGENTS.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 history100 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_filesAGENTS.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_bytes8,704
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
11/11Static type checkingmypy.ini, packages/apache-airflow-providers-dpone/src/airflow/providers/dpone/py.typed, packages/dpone-airflow-pack/src/dpone_airflow_pack/py.typed
10/10Reproducible environmentDockerfile, lockfile
10/10Demonstrated agent practice77 of the last 100 commits agent-authored or agent-credited
5/8Automated maintenancedependency automation configured, none observed in the sampled commits
8/10OpenSSF Scorecard: Pinned-Dependenciesdependency 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_share0.77
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython 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)
54.9/55Manageable file sizes7/3,556 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes165,037
source_files_sampled3,556
oversized_source_files7
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 examplesexamples
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

2GitHub stars
2contributors
1,054commits, last 12 months
0days since last push
100releases
1bus factor
3open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:dpone@0.73.15; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 5.2 / 10
5.2aggregate

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 · 2026-07-22 14:37 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests24 out of 24 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 0/24 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
10Packagingpackaging workflow detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
10SASTSAST tool is run on all commits
4Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7Vulnerabilities3 existing vulnerabilities detected
Direct dependencies 11
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
PyPIdpone-airflow-pack==0.73.16pyproject.toml
All dependencies 196

Full resolved dependency set from the GitHub dependency graph: 12 direct and 184 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdpone-airflow-pack0.73.16direct
PyPIidna3.17direct
PyPIijson3.5.0direct
PyPIjinja23.1.6direct
PyPIpendulum3.2.0direct
PyPIprettytable3.18.0direct
PyPIpytz2025.2direct
PyPIpyyamldirect
PyPIpyyaml6.0.3direct
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PyPIanyio4.13.0indirect
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PyPIapache-airflow-providers-cncf-kubernetesindirect
PyPIargon2-cffi25.1.0indirect
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PyPIattrs26.1.0indirect
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PyPIdistlib0.4.0indirect
PyPIdocutils0.23indirect
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PyPIdpone-native-accel0.73.16indirect
PyPIdurationpy0.10indirect
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PyPIfastavro1.12.2indirect
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Dependency advisories 1

This repository publishes no package the index resolves, so its own dependency graph was assessed — 189 packages, which also include development and test pins that never ship: 1 carry known advisories, of which 0 are direct. 7 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
pyasn10.6.3indirecthigh50.6.4

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 v0.26.0 — full methodology · metrics wiki.

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