Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-13 03:08 UTC

dbt-labs / metricflow

MetricFlow allows you to define, build, and maintain metrics in code.

PythonApache-2.0★ 1,735 stars⑂ 196 forkssince Apr 2022View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#data#analytics#metrics#pypi#business-intelligence#data-modeling#semantic-layer

dbt-labs/metricflow holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (90/100) and lowest on Security (60/100). It was last updated today. 2 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
2,284 followers408 public repossince Apr 2016

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPImetricflow0.212.07,194,848950 days ago
PyPIdbt-metricflow0.13.0-2292 days ago

Metrics by category

Vitality

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

90Excellent · 21% of overall

Development activity

94Exceptional
How it's scored
36/36Push recency — last push 0 days ago
29.8/36Commit cadence — 43/52 weeks with commits
18/18Commit volume — 193 commits in the last year
10/10OpenSSF Scorecard: Maintained — 24 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year193
human_commit_share1
days_since_last_push0
active_weeks_last_year43

Release discipline

83Excellent
How it's scored
27/27Ships releases — 26 releases published
36/36Release recency — latest release 12 days ago
19.8/27Release cadence — a release every ~61.1 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count26
latest_release_tagmf-stdio-sidecar/v0.212.0.dev0+2607311617.cb03eb2a
releases_from_tagsno
days_since_latest_release12
mean_days_between_releases61.1

Community & Adoption

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

81Excellent · 17% of overall

Popularity & adoption

79Good
How it's scored
52.5/60Stars — 1,735 stars
19.1/25Forks — 196 forks
7.2/15Watchers — 21 watchers
Inputs used
forks196
stars1,735
watchers21
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
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_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 7,194,848 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmetricflow, dbt-metricflow
dependents—
ecosystemspypi
total_downloads—
monthly_downloads7,194,848
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?

84Excellent · 23% of overall

Maintainer resilience (bus factor)

64Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
15.1/22.5Commit distribution — top contributor authored 33% of commits
13.5/13.5Contributor breadth — 49 contributors
10/10OpenSSF Scorecard: Contributors — project has 7 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled49
top_contributor_share0.327

Issue & PR responsiveness

80Excellent
How it's scored
30.4/42Issue resolution — 72% of issues closed
25.8/30PR acceptance — 1,405/1,633 decided PRs merged
8.7/13Newcomer PR acceptance — 2/3 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs1,405
open_issues111
closed_issues289
prs_merged_7d4
prs_decided_7d4
prs_merged_30d14
prs_decided_30d15
issue_closed_ratio0.723
closed_unmerged_prs228
first_time_authors_30d3
first_time_prs_merged_30d2
first_time_prs_decided_30d3

Ownership & stewardship

99Exceptional
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
24.1/25Owner reach — 2,284 followers of dbt-labs
25/25Track record — 408 public repos, account ~10 yr old
Inputs used
followers2,284
owner_typeOrganization
is_verified—
owner_logindbt-labs
public_repos408
account_age_days3,779
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 2 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 95 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmetricflow, dbt-metricflow
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 12 workflow(s)
24/24Tests present
16/16Linter config — ruff.toml
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 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

65Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://docs.getdbt.com/docs/build/about-metricflow
10/10Repository description
10/10Topics — 7 topics
0/10Wiki
Inputs used
topicsdata, analytics, metrics, pypi, business-intelligence, data-modeling, semantic-layer
has_wikino
homepagehttps://docs.getdbt.com/docs/build/about-metricflow
docs_sitehttps://docs.getdbt.com/docs/build/about-metricflow
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

60Moderate · 16% of overall

Security posture

60Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 7 contributing companies or organizations
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 — 24 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
2.2/7.5Vulnerabilities — 7 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6

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.

89Excellent · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — .github/copilot-instructions.md, AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 100 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_files.github/copilot-instructions.md, AGENTS.md
agent_instruction_max_bytes15,529

Verify loop (build / test / typecheck)

91Excellent
How it's scored
18/18One-command bootstrap — Makefile, local-data-warehouses/Makefile
22/22Automated tests
11/11Lint / format config — ruff.toml
11/11Static type checking — dbt-metricflow/dbt_metricflow/py.typed, metricflow/py.typed, metricflow_semantic_interfaces/py.typed, metricflow_semantics/py.typed, mypy.ini
10/10Reproducible environment — Dockerfile
10/10Demonstrated agent practice — 5 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
9/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, local-data-warehouses/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsdbt-metricflow/dbt_metricflow/py.typed, metricflow/py.typed, metricflow_semantic_interfaces/py.typed, metricflow_semantics/py.typed, mypy.ini
agent_commit_share0.05
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (dbt-metricflow/dbt_metricflow/py.typed, metricflow/py.typed, metricflow_semantic_interfaces/py.typed, metricflow_semantics/py.typed, mypy.ini)
54.7/55Manageable file sizes — 5/1,011 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes129,421
source_files_sampled1,011
oversized_source_files5

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

1,735GitHub stars
49contributors
193commits, last 12 months
0days since last push
26releases
2bus factor
111open 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:metricflow@0.212.0; advisories assessed against the repository dependency graph instead
  • No resolved dependencies carried a version and a supported ecosystem

More detail

Star and fork history 0 ★ / 196 ⇿
0Stars
196Forks
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.

04080120160200187182022-042024-062026-08
Major 0Minor 16Patch 8

Each point covers 4 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 · 2026-08-13 03:06 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 7 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained24 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
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
3Vulnerabilities7 existing vulnerabilities detected
All dependencies 57

Full resolved dependency set from the GitHub dependency graph: 0 direct and 57 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIblack—indirect
PyPIclick—indirect
PyPIdatabricks-sqlalchemy—indirect
PyPIdbt-athena-community—indirect
PyPIdbt-bigquery—indirect
PyPIdbt-core—indirect
PyPIdbt-databricks—indirect
PyPIdbt-duckdb—indirect
PyPIdbt-postgres—indirect
PyPIdbt-redshift—indirect
PyPIdbt-snowflake—indirect
PyPIdbt-trino—indirect
PyPIduckdb—indirect
PyPIduckdb-engine—indirect
PyPIdulwich—indirect
PyPIgraphviz—indirect
PyPIhalo—indirect
PyPIhatch-requirements-txt—indirect
PyPIhatchling—indirect
PyPIhttpx—indirect
PyPIhypothesis—indirect
PyPIimportlib-metadata—indirect
PyPIisort—indirect
PyPIjinja2—indirect
PyPIjsonschema—indirect
PyPImetricflow—indirect
PyPImore-itertools—indirect
PyPImypy—indirect
PyPIpre-commit—indirect
PyPIpsycopg2-binary—indirect
PyPIpyathena—indirect
PyPIpydantic—indirect
PyPIpygithub—indirect
PyPIpympler—indirect
PyPIpytest—indirect
PyPIpytest-mock—indirect
PyPIpytest-xdist—indirect
PyPIpython-dateutil—indirect
PyPIpyyaml—indirect
PyPIrapidfuzz—indirect
PyPIreferencing—indirect
PyPIsnowflake-sqlalchemy—indirect
PyPIsqlalchemy—indirect
PyPIsqlalchemy-bigquery—indirect
PyPIsqlglot—indirect
PyPItabulate—indirect
PyPItermcolor—indirect
PyPItomli—indirect
PyPItrino—indirect
PyPItypes-jinja2—indirect
PyPItypes-jsonschema—indirect
PyPItypes-python-dateutil—indirect
PyPItypes-pyyaml—indirect
PyPItypes-tabulate—indirect
PyPItyping-extensions—indirect
PyPIupdate-checker—indirect
PyPIvarname—indirect
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies carried a version and a supported ecosystem

Raw JSON report machine-readable

Feedback

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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 v0.31.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.