Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-14 23:53 UTC

duckdb / dbt-duckdb

dbt adapter for DuckDB

PythonApache-2.0★ 1,350 stars⑂ 146 forkssince Sep 2020View on GitHub ↗

duckdb/dbt-duckdb holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Vitality (91/100) and lowest on Security (46/100). It was last updated today. A single contributor accounts for most of its recent work.

86
overall / 100
Excellent

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.

86
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 72 is calibrated to 86 on the published index scale (record calibration 2026-08-02).

Ownership

DuckDB FoundationOrganization
1,725 followers92 public repossince Apr 2021

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIdbt-duckdb1.11.0-4938 days agosetupdistutils

Metrics by category

Vitality

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

91Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
27/36Commit cadence — 39/52 weeks with commits
18/18Commit volume — 122 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year122
human_commit_share0.6
days_since_last_push0
active_weeks_last_year39
How it's scored
27/27Ships releases — 32 releases published
36/36Release recency — latest release 38 days ago
19.8/27Release cadence — a release every ~74.3 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count32
latest_release_tag1.11.0
releases_from_tagsno
days_since_latest_release38
mean_days_between_releases74.3

Community & Adoption

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

73Good · 17% of overall
How it's scored
50.8/60Stars — 1,350 stars
18/25Forks — 146 forks
7.4/15Watchers — 22 watchers
Inputs used
forks146
stars1,350
watchers22
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

Sustainability & Governance

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

69Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
6.1/22.5Commit distribution — top contributor authored 73% of commits
13.5/13.5Contributor breadth — 58 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled58
top_contributor_share0.73
How it's scored
30.1/42Issue resolution — 72% of issues closed
25.7/30PR acceptance — 474/554 decided PRs merged
13/13Newcomer PR acceptance — 2/2 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs474
open_issues69
closed_issues174
prs_merged_7d1
prs_decided_7d1
prs_merged_30d5
prs_decided_30d5
issue_closed_ratio0.716
closed_unmerged_prs80
first_time_authors_30d2
first_time_prs_merged_30d2
first_time_prs_decided_30d2
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
23.3/25Owner reach — 1,725 followers of duckdb
23.9/25Track record — 92 public repos, account ~5 yr old
Inputs used
followers1,725
owner_typeOrganization
is_verifiedno
owner_loginduckdb
public_repos92
account_age_days1,987

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 38 days ago
20/20Version history — 49 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdbt-duckdb
ecosystemspypi
any_deprecatedno
min_days_since_publish38

Engineering Quality

Are baseline engineering and documentation practices in place?

75Good · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — .flake8, tox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 2 topics
0/10Wiki
Inputs used
topicsdbt, duckdb
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

46Weak · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
25/25Dependabot config
0/25Dependency lockfiles — published library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestssetup.cfg, setup.py
has_codeql_workflowno
has_security_policyno
has_dependabot_configyes
Excluded from scoring (no data or not applicable): Dependency lockfiles. 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_packages58
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:dbt-duckdb@1.11.0 runtime dependency closure — what installing the published package pulls in — 58 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.

66Good · 4% of overall
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://motherduck.com/llms.txt)
40/40Legible commit history — 60 of 60 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://motherduck.com/llms.txt
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, tox.ini
11/11Static type checking — mypy.ini
0/10Reproducible environment
10/10Demonstrated agent practice — 16 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 40 of the last 100 commits are automated dependency updates
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_configsmypy.ini
agent_commit_share0.16
toolchain_manifests—
dependency_bot_commit_share0.4
How it's scored
27/45Type-checkable code — Python with type-check config (mypy.ini)
55/55Manageable file sizes — 0/102 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes28,130
source_files_sampled102
oversized_source_files0

Key facts

1,350GitHub stars
58contributors
122commits, last 12 months
0days since last push
32releases
1bus factor
69open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'dbt-duckdb' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 0 ★ / 146 ⇿
0Stars
146Forks
32Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

025507510012515013942021-102024-032026-09
Major 0Minor 8Patch 24

Each point covers 5 days.

Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIdbt-common>=1,<2setup.cfg
PyPIdbt-adapters>=1,<2setup.cfg
PyPIduckdb>=1.0.0setup.cfg
PyPIdbt-core>=1.8.0setup.cfg
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:dbt-duckdb@1.11.0 pulls in 58 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.