Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-19 09:34 UTC

enrichmeai / culvert

Java · PythonApache-2.0★ 0 stars⑂ 0 forkssince Mar 2026View on GitHub ↗
KindLibraryNetwork servicePluginhow this is determined

enrichmeai/culvert holds a health index of 71 out of 100, placing it in the Good band. It scores highest on Vitality (92/100) and lowest on Community & Adoption (35/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

71
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.

71
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 63 is calibrated to 71 on the published index scale (record calibration 2026-08-02).

Ownership

enrichmeaiOrganization
0 followers5 public repossince Mar 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIculvert0.5.022254 days agoairflowbigquerycloud-agnosticcontractsdata-pipelinedbtframeworkgcp

Metrics by category

Vitality

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

92Excellent · 21% of overall
How it's scored
36/36Push recency — last push 1 days ago
21.5/36Commit cadence — 31/52 weeks with commits
18/18Commit volume — 766 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_year766
human_commit_share1
days_since_last_push1
active_weeks_last_year31

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 4 releases published
36/36Release recency — latest release 4 days ago
27/27Release cadence — a release every ~30.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count4
latest_release_tagv0.5.0
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases30.7
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?

35Weak · 17% 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
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno
How it's scored
31.3/80Monthly downloads — 222 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesculvert
dependents—
ecosystemspypi
total_downloads—
monthly_downloads222
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?

52Moderate · 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
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1
How it's scored
36/42Issue resolution — 86% of issues closed
29.3/30PR acceptance — 131/134 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs131
open_issues20
closed_issues120
prs_merged_7d11
prs_decided_7d11
prs_merged_30d49
prs_decided_30d49
issue_closed_ratio0.857
closed_unmerged_prs3
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
0/25Owner reach — 0 followers of enrichmeai
8.8/25Track record — 5 public repos, account ~1 yr old
Inputs used
followers0
owner_typeOrganization
is_verifiedno
owner_loginenrichmeai
public_repos5
account_age_days568

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 4 days ago
20/20Version history — 5 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesculvert
ecosystemspypi
any_deprecatedno
min_days_since_publish4

Engineering Quality

Are baseline engineering and documentation practices in place?

75Good · 19% of overall
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config — .flake8
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
8/20OpenSSF Scorecard: CI-Tests — 13 out of 30 merged PRs checked by a CI test -- score normalized to 4
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
0/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

50Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
1/2.5CI-Tests — 13 out of 30 merged PRs checked by a CI test -- score normalized to 4
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
2/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 70 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3.7
Excluded from scoring (no data or not applicable): 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_packages2
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:culvert@0.5.0 runtime dependency closure — what installing the published package pulls in — 2 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.

79Good · 4% of overall
How it's scored
45/45Agent instructions — .github/copilot-instructions.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 99 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.99
agent_instruction_files.github/copilot-instructions.md, CLAUDE.md
agent_instruction_max_bytes22,610
How it's scored
18/18One-command bootstrap — infrastructure/k8s/charts/pipeline-dbt-runner/Makefile
22/22Automated tests
11/11Lint / format config — .flake8
11/11Static type checking — data-pipeline-libraries/data-pipeline-core/src/data_pipeline_core/py.typed
10/10Reproducible environment — Dockerfile
10/10Demonstrated agent practice — 52 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageyes
bootstrap_filesinfrastructure/k8s/charts/pipeline-dbt-runner/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsdata-pipeline-libraries/data-pipeline-core/src/data_pipeline_core/py.typed
agent_commit_share0.52
toolchain_manifestsdata-pipeline-libraries-java/data-pipeline-aws-athena-java/pom.xml, data-pipeline-libraries-java/data-pipeline-aws-cloudwatch-java/pom.xml, data-pipeline-libraries-java/data-pipeline-aws-dynamodb-java/pom.xml, data-pipeline-libraries-java/data-pipeline-aws-s3-java/pom.xml, data-pipeline-libraries-java/data-pipeline-aws-secrets-java/pom.xml, data-pipeline-libraries-java/data-pipeline-aws-sqs-java/pom.xml, data-pipeline-libraries-java/data-pipeline-azure-blob-java/pom.xml, data-pipeline-libraries-java/data-pipeline-console-java/pom.xml, data-pipeline-libraries-java/data-pipeline-contract-tests-java/pom.xml, data-pipeline-libraries-java/data-pipeline-core-java/pom.xml, data-pipeline-libraries-java/data-pipeline-gcp-bigquery-java/pom.xml, data-pipeline-libraries-java/data-pipeline-gcp-dataflow-java/pom.xml, data-pipeline-libraries-java/data-pipeline-gcp-gcs-java/pom.xml, data-pipeline-libraries-java/data-pipeline-gcp-observability-java/pom.xml, data-pipeline-libraries-java/data-pipeline-gcp-pubsub-java/pom.xml, data-pipeline-libraries-java/data-pipeline-gcp-secrets-java/pom.xml, data-pipeline-libraries-java/data-pipeline-it-support-java/pom.xml, data-pipeline-libraries-java/data-pipeline-orchestration-java/pom.xml, data-pipeline-libraries-java/data-pipeline-postgres-java/pom.xml, data-pipeline-libraries-java/data-pipeline-registration-audit-java/pom.xml, data-pipeline-libraries-java/data-pipeline-tester-java/pom.xml, data-pipeline-libraries-java/pom.xml, deployments/mainframe-segment-transform-java/pom.xml, deployments/original-data-to-bigqueryload-java/pom.xml, deployments/postgres-cdc-streaming-java/pom.xml, deployments/reference-e2e-gcp/pom.xml, pom.xml
dependency_bot_commit_share0
How it's scored
45/45Type-checkable code — Java (statically typed)
55/55Manageable file sizes — 0/652 source files over 60KB
Inputs used
primary_languageJava
largest_source_bytes52,316
source_files_sampled652
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

0GitHub stars
1contributors
766commits, last 12 months
1days since last push
4releases
1bus factor
20open issues
Maven, PyPIpackage ecosystems

Data collection warnings

  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

More detail

OpenSSF Scorecard 3.7 / 10
3.7aggregate

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 09:33 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
4CI-Tests13 out of 30 merged PRs checked by a CI test -- score normalized to 4
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
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
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
4Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities70 existing vulnerabilities detected
Direct dependencies 8
RegistryPackageVersion constraintManifest
Mavenorg.yaml:snakeyaml${snakeyaml.version}data-pipeline-libraries-java/pom.xml
Mavenorg.junit:junit-bom${junit.version}data-pipeline-libraries-java/pom.xml
Mavennet.bytebuddy:byte-buddy${bytebuddy.version}data-pipeline-libraries-java/pom.xml
Mavennet.bytebuddy:byte-buddy-agent${bytebuddy.version}data-pipeline-libraries-java/pom.xml
Mavenorg.slf4j:slf4j-api${slf4j.version}data-pipeline-libraries-java/pom.xml
Mavenorg.testcontainers:testcontainers-bom${testcontainers.version}data-pipeline-libraries-java/pom.xml
PyPItyping-extensions>=4.7python-culvert/pyproject.toml
PyPIPyYAML>=6.0python-culvert/pyproject.toml
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Dependency advisories 0

Installing pypi:culvert@0.5.0 pulls in 2 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

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.