Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-16 11:49 UTC

dbt-labs / dbt-adapters

PythonApache-2.0★ 233 stars⑂ 361 forkssince Aug 2023View on GitHub ↗

dbt-labs/dbt-adapters holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Sustainability & Governance (86/100) and lowest on Security (68/100). It was last updated today. 5 contributors account for most of its recent work.

94
overall / 100
Exceptional

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.

94
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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

dbt LabsOrganization · verified domain
2,321 followers421 public repossince Apr 2016

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

Package ecosystems

Metrics by category

Vitality

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

82Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
32.5/36Commit cadence47/52 weeks with commits
18/18Commit volume490 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year490
human_commit_share1
days_since_last_push0
active_weeks_last_year47
How it's scored
27/27Ships releases26 releases published
7.2/36Release recencylatest release 650 days ago
27/27Release cadencea release every ~5.6 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count26
latest_release_tagv1.10.4
releases_from_tagsno
days_since_latest_release650
mean_days_between_releases5.6

Community & Adoption

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

82Excellent · 17% of overall
How it's scored
38.4/60Stars233 stars
21.3/25Forks361 forks
3.3/15Watchers5 watchers
Inputs used
forks361
stars233
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
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_badges1
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com
has_pull_request_templateyes
How it's scored
80/80Monthly downloads73,110,314 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesdbt-spark, dbt-athena, dbt-adapters, dbt-bigquery, dbt-postgres, dbt-redshift, dbt-snowflake, dbt-tests-adapter
dependents
ecosystemspypi
total_downloads
monthly_downloads73,110,314
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?

86Excellent · 23% of overall
How it's scored
45.9/54Bus factor5 contributor(s) cover half of all commits
18.3/22.5Commit distributiontop contributor authored 19% of commits
13.5/13.5Contributor breadth97 contributors
10/10OpenSSF Scorecard: Contributorsproject has 16 contributing companies or organizations
Inputs used
bus_factor5
contributors_sampled97
top_contributor_share0.187
How it's scored
15/42Issue resolution36% of issues closed
23.4/30PR acceptance696/892 decided PRs merged
6.5/13Newcomer PR acceptance1/2 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs696
open_issues673
closed_issues373
prs_merged_7d0
prs_decided_7d1
prs_merged_30d11
prs_decided_30d20
issue_closed_ratio0.357
closed_unmerged_prs196
first_time_authors_30d2
first_time_prs_merged_30d1
first_time_prs_decided_30d2
How it's scored
30/30Ownership backingorganization-owned
20/20Verified domain
24.2/25Owner reach2,321 followers of dbt-labs
25/25Track record421 public repos, account ~10 yr old
Inputs used
followers2,321
owner_typeOrganization
is_verifiedyes
owner_logindbt-labs
public_repos421
account_age_days3,813

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable8 package(s) on pypi
35/35Publish recencylatest publish 0 days ago
20/20Version history278 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesdbt-spark, dbt-athena, dbt-adapters, dbt-bigquery, dbt-postgres, dbt-redshift, dbt-snowflake, dbt-tests-adapter
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 workflows20 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests27 out of 28 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://docs.getdbt.com
0/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics
has_wikino
homepage
docs_sitehttps://docs.getdbt.com
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

68Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
6/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.2/2.5CI-Tests27 out of 28 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Reviewall changesets reviewed
2.5/2.5Contributorsproject has 16 contributing companies or organizations
0/10Dangerous-Workflowdangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
2/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
0/5SASTSAST tool is not run on all commits -- score normalized to 0
5/5Security-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
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages34
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-adapters@1.24.5 runtime dependency closure — what installing the published package pulls in — 34 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
How it's scored
45/45Agent instructionsAGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt)llms.txt served by the project website (https://docs.getdbt.com/llms.txt)
27.2/40Legible commit history51 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.getdbt.com/llms.txt
legible_history_share0.51
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes15,926
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
11/11Static type checkingdbt-adapters/src/dbt/adapters/py.typed, dbt-adapters/src/dbt/include/py.typed, mypy.ini
10/10Reproducible environmentDockerfile
10/10Demonstrated agent practice23 of the last 100 commits agent-authored or agent-credited
5/8Automated maintenancedependency automation configured, none observed in the sampled commits
4/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configsdbt-adapters/src/dbt/adapters/py.typed, dbt-adapters/src/dbt/include/py.typed, mypy.ini
agent_commit_share0.23
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (dbt-adapters/src/dbt/adapters/py.typed, dbt-adapters/src/dbt/include/py.typed, mypy.ini)
54.7/55Manageable file sizes6/983 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes111,485
source_files_sampled983
oversized_source_files6

Key facts

233GitHub stars
97contributors
490commits, last 12 months
0days since last push
26releases
5bus factor
673open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'dbt-spark' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download statistics for 'dbt-redshift' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download statistics for 'dbt-tests-adapter' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for dbt-spark carried forward from the previous scan (stats endpoint unavailable this scan)
  • pypi download figures for dbt-redshift carried forward from the previous scan (stats endpoint unavailable this scan)
  • pypi download figures for dbt-tests-adapter carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

Star and fork history 0 ★ / 361 ⇿
0Stars
361Forks
26Releases

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.

0125250375354122024-022025-052026-09
Major 1Minor 9Patch 13

Each point covers 3 days.

OpenSSF Scorecard 6.0 / 10
6.0aggregate

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 · 2026-09-16 11:49 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
9CI-Tests27 out of 28 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 16 contributing companies or organizations
0Dangerous-Workflowdangerous workflow patterns detected
10Dependency-Update-Toolupdate 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
4Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 54
RegistryPackageVersion constraintManifest
PyPIdbt-common>=1.36,<2.0dbt-adapters/pyproject.toml
PyPIdbt-protos>=1.0.291,<2.0dbt-adapters/pyproject.toml
PyPIpytz>=2015.7dbt-adapters/pyproject.toml
PyPIagate>=1.0,<2.0dbt-adapters/pyproject.toml
PyPImashumaro>=3.9,<3.18dbt-adapters/pyproject.toml
PyPIprotobuf>=6.0,<7.0dbt-adapters/pyproject.toml
PyPItyping-extensions>=4.0,<5.0dbt-adapters/pyproject.toml
PyPIdbt-athena==1.11.0rc1dbt-athena-community/pyproject.toml
PyPIdbt-adapters>=1.24.1,<2.0dbt-athena/pyproject.toml
PyPIdbt-common>=1.0.0,<2.0dbt-athena/pyproject.toml
PyPIdbt-core>=1.8.0rc1,<2.0dbt-athena/pyproject.toml
PyPIboto3>=1.28dbt-athena/pyproject.toml
PyPIboto3-stubs>=1.28dbt-athena/pyproject.toml
PyPImmh3>=4.0.1,<4.2.0dbt-athena/pyproject.toml
PyPIpyathena>=2.25,<3.35dbt-athena/pyproject.toml
PyPIpydantic>=1.10,<3.0dbt-athena/pyproject.toml
PyPItenacity>=8.2,<10.0dbt-athena/pyproject.toml
PyPIdbt-common>=1.10,<2.0dbt-bigquery/pyproject.toml
PyPIdbt-adapters>=1.24.4,<2.0dbt-bigquery/pyproject.toml
PyPIgoogle-cloud-bigquery>=3.0,<4.0dbt-bigquery/pyproject.toml
PyPIgoogle-cloud-storage>=2.4,<3.2dbt-bigquery/pyproject.toml
PyPIgoogle-cloud-dataproc~=5.0dbt-bigquery/pyproject.toml
PyPIgoogle-api-core>=2.11.0dbt-bigquery/pyproject.toml
PyPIgoogle-auth>=2.29.0dbt-bigquery/pyproject.toml
PyPIdbt-core>=1.10.0rc0,<2.0dbt-bigquery/pyproject.toml
PyPInbformat>=5.10.4dbt-bigquery/pyproject.toml
PyPIgoogle-cloud-aiplatform>=1.148.0dbt-bigquery/pyproject.toml
PyPIpsycopg2-binary>=2.9,<3.0dbt-postgres/pyproject.toml
PyPIdbt-adapters>=1.24.1,<2.0dbt-postgres/pyproject.toml
PyPIdbt-core>=1.8.0rc1,<2.0dbt-postgres/pyproject.toml
PyPIdbt-common>=1.0.4,<2.0dbt-postgres/pyproject.toml
PyPIagate>=1.0,<2.0dbt-postgres/pyproject.toml
PyPIdbt-common>=1.10,<2.0dbt-redshift/pyproject.toml
PyPIdbt-adapters>=1.24.1,<2.0dbt-redshift/pyproject.toml
PyPIdbt-postgres>=1.10.0rc1,<2.0dbt-redshift/pyproject.toml
PyPIredshift-connector>=2.1.8,<2.2dbt-redshift/pyproject.toml
PyPIdbt-core>=1.8.0b3,<2.0dbt-redshift/pyproject.toml
PyPIsqlparse>=0.5.0,<0.7.0dbt-redshift/pyproject.toml
PyPIagatedbt-redshift/pyproject.toml
PyPIrequestsdbt-redshift/pyproject.toml
PyPIdbt-common>=1.10,<2.0dbt-snowflake/pyproject.toml
PyPIdbt-adapters>=1.24.4,<2.0dbt-snowflake/pyproject.toml
PyPIsnowflake-connector-python>=4.2.0,<5.0.0dbt-snowflake/pyproject.toml
PyPIcertifi<2025.4.26dbt-snowflake/pyproject.toml
PyPIdbt-core>=1.10.0rc0,<2.0dbt-snowflake/pyproject.toml
PyPIagatedbt-snowflake/pyproject.toml
PyPIdbt-common>=1.10,<2.0dbt-spark/pyproject.toml
PyPIdbt-adapters>=1.24.1,<2.0dbt-spark/pyproject.toml
PyPIdbt-core>=1.8.0rc1,<2.0dbt-spark/pyproject.toml
PyPIsqlparams>=3.0.0dbt-spark/pyproject.toml
PyPIdbt-common>=1.34.0,<2.0dbt-tests-adapter/pyproject.toml
PyPIdbt-adapters>=1.14.0,<2.0dbt-tests-adapter/pyproject.toml
PyPIpyyamldbt-tests-adapter/pyproject.toml
PyPIfreezegundbt-tests-adapter/pyproject.toml
All dependencies 38

Full resolved dependency set from the GitHub dependency graph: 30 direct and 8 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIagatedirect
PyPIboto3direct
PyPIboto3-stubsdirect
PyPIcertifidirect
PyPIdbt-adaptersdirect
PyPIdbt-athena1.11.0rc1direct
PyPIdbt-commondirect
PyPIdbt-coredirect
PyPIdbt-postgresdirect
PyPIdbt-protosdirect
PyPIgoogle-api-coredirect
PyPIgoogle-authdirect
PyPIgoogle-cloud-aiplatformdirect
PyPIgoogle-cloud-bigquerydirect
PyPIgoogle-cloud-dataprocdirect
PyPIgoogle-cloud-storagedirect
PyPImashumarodirect
PyPImmh3direct
PyPInbformatdirect
PyPIprotobufdirect
PyPIpsycopg2-binarydirect
PyPIpyathenadirect
PyPIpydanticdirect
PyPIpytzdirect
PyPIredshift-connectordirect
PyPIsnowflake-connector-pythondirect
PyPIsqlparamsdirect
PyPIsqlparsedirect
PyPItenacitydirect
PyPItyping-extensionsdirect
PyPIbeartypeindirect
PyPIdagger-ioindirect
PyPIgqlindirect
PyPIpyhiveindirect
PyPIpyodbcindirect
PyPIpysparkindirect
PyPIpython-dotenvindirect
PyPIthriftindirect
Dependency advisories 0

Installing pypi:dbt-adapters@1.24.5 pulls in 34 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 statisticsPyPI.