Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-29 00:16 UTC

google / meridian

Meridian is an MMM framework that enables advertisers to set up and run their own in-house models.

PythonApache-2.0★ 1,550 stars⑂ 301 forkssince Jan 2024View on GitHub ↗

google/meridian holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (95/100) and lowest on AI Readiness (37/100). It was last updated today. 3 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 80 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

GoogleOrganization · verified domain
79,448 followers2,912 public repossince Jan 2012

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIgoogle-meridian2.1.040,648354 days agommm
PyPImmm-proto-schema1.4.118,951120 days agommmprotobuf

Metrics by category

Vitality

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

95Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recency — last push 0 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 532 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_year532
human_commit_share1
days_since_last_push0
active_weeks_last_year52
How it's scored
16.2/27Ships releases — 50 version tags (no GitHub releases)
36/36Release recency — latest release 4 days ago
27/27Release cadence — a release every ~24.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count50
latest_release_tagv2.1.0
releases_from_tagsyes
days_since_latest_release4
mean_days_between_releases24.9
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?

83Excellent · 17% of overall
How it's scored
51.7/60Stars — 1,550 stars
20.6/25Forks — 301 forks
10/15Watchers — 65 watchers
Inputs used
forks301
stars1,550
watchers65
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code 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_conductyes
readme_badge_services—
has_pull_request_templateno
How it's scored
63.7/80Monthly downloads — 59,599 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesgoogle-meridian, mmm-proto-schema
dependents—
ecosystemspypi
total_downloads—
monthly_downloads59,599
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
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
18/22.5Commit distribution — top contributor authored 20% of commits
13.5/13.5Contributor breadth — 21 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor3
contributors_sampled21
top_contributor_share0.199
How it's scored
33.9/42Issue resolution — 81% of issues closed
20.1/30PR acceptance — 871/1,298 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 3/30 approved changesets -- score normalized to 1
Inputs used
merged_prs871
open_issues47
closed_issues195
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.806
closed_unmerged_prs427
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
20/20Verified domain
25/25Owner reach — 79,448 followers of google
25/25Track record — 2,912 public repos, account ~14 yr old
Inputs used
followers79,448
owner_typeOrganization
is_verifiedyes
owner_logingoogle
public_repos2,912
account_age_days5,367

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 — 35 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgoogle-meridian, mmm-proto-schema
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

72Good · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — .pylintrc
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 27 out of 27 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

55Moderate
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://developers.google.com/meridian
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepagehttps://developers.google.com/meridian
docs_sitehttps://developers.google.com/meridian
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

70Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 27 out of 27 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
0.8/7.5Code-Review — Found 3/30 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — 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
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.3
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_packages71
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:google-meridian@2.1.0 runtime dependency closure — what installing the published package pulls in — 71 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.

37Weak · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
4.8/40Legible commit history — 9 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.09
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .pylintrc
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
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_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
45.9/55Manageable file sizes — 30/182 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes304,914
source_files_sampled182
oversized_source_files30
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — proto/mmm/v1/common/date_interval.proto, proto/mmm/v1/common/estimate.proto, proto/mmm/v1/common/kpi_type.proto, proto/mmm/v1/common/target_metric.proto, proto/mmm/v1/fit/model_fit.proto, proto/mmm/v1/marketing/analysis/marketing_analysis.proto, proto/mmm/v1/marketing/analysis/media_analysis.proto, proto/mmm/v1/marketing/analysis/non_media_analysis.proto, proto/mmm/v1/marketing/analysis/outcome.proto, proto/mmm/v1/marketing/analysis/response_curve.proto, proto/mmm/v1/marketing/marketing_data.proto, proto/mmm/v1/marketing/new_marketing_data.proto, proto/mmm/v1/marketing/optimization/budget_optimization.proto, proto/mmm/v1/marketing/optimization/constraints.proto, proto/mmm/v1/marketing/optimization/marketing_optimization.proto, proto/mmm/v1/marketing/optimization/reach_frequency_optimization.proto, proto/mmm/v1/mmm.proto, proto/mmm/v1/model/meridian/eda/eda_spec.proto, proto/mmm/v1/model/meridian/meridian_model.proto, proto/mmm/v1/model/meridian/review/configs.proto, proto/mmm/v1/model/meridian/review/results.proto, proto/mmm/v1/model/mmm_kernel.proto
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — notebooks
Inputs used
example_dirsnotebooks
has_mcp_signalno
api_schema_filesproto/mmm/v1/common/date_interval.proto, proto/mmm/v1/common/estimate.proto, proto/mmm/v1/common/kpi_type.proto, proto/mmm/v1/common/target_metric.proto, proto/mmm/v1/fit/model_fit.proto, proto/mmm/v1/marketing/analysis/marketing_analysis.proto, proto/mmm/v1/marketing/analysis/media_analysis.proto, proto/mmm/v1/marketing/analysis/non_media_analysis.proto, proto/mmm/v1/marketing/analysis/outcome.proto, proto/mmm/v1/marketing/analysis/response_curve.proto, proto/mmm/v1/marketing/marketing_data.proto, proto/mmm/v1/marketing/new_marketing_data.proto, proto/mmm/v1/marketing/optimization/budget_optimization.proto, proto/mmm/v1/marketing/optimization/constraints.proto, proto/mmm/v1/marketing/optimization/marketing_optimization.proto, proto/mmm/v1/marketing/optimization/reach_frequency_optimization.proto, proto/mmm/v1/mmm.proto, proto/mmm/v1/model/meridian/eda/eda_spec.proto, proto/mmm/v1/model/meridian/meridian_model.proto, proto/mmm/v1/model/meridian/review/configs.proto, proto/mmm/v1/model/meridian/review/results.proto, proto/mmm/v1/model/mmm_kernel.proto
interfaces_expected_of—
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

1,550GitHub stars
21contributors
532commits, last 12 months
0days since last push
50releases
3bus factor
47open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 301 ⇿
0Stars
301Forks
35Releases

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.

050100150200250300300342025-012025-112026-09
Major 2Minor 8Patch 25

Each point covers 2 days.

OpenSSF Scorecard 6.3 / 10
6.3aggregate

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 · 2026-09-29 00:16 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests27 out of 27 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 3/30 approved changesets -- score normalized to 1
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous 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
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 21
RegistryPackageVersion constraintManifest
PyPIgoogleapis-common-protos—proto/pyproject.toml
PyPIprotobuf—proto/pyproject.toml
PyPItensorflow—proto/pyproject.toml
PyPIarviz< 0.20.0pyproject.toml
PyPIaltair>= 5pyproject.toml
PyPIbabel—pyproject.toml
PyPIbidict—pyproject.toml
PyPIimmutabledict—pyproject.toml
PyPIjax>= 0.7.2, < 1.0.0pyproject.toml
PyPIjaxlib>= 0.7.2, < 1.0.0pyproject.toml
PyPIjoblib—pyproject.toml
PyPImatplotlib< 3.11.0pyproject.toml
PyPInatsort>= 7.1.1, < 8pyproject.toml
PyPInumpy>= 2.0.2, < 2.4.0pyproject.toml
PyPIpandas>= 2.2.2, < 3pyproject.toml
PyPIscipy>= 1.13.1, < 2pyproject.toml
PyPIstatsmodels>= 0.14.5, < 0.15pyproject.toml
PyPItensorflow>= 2.21.0, < 2.22pyproject.toml
PyPItfp-nightly== 0.26.0.dev20260130pyproject.toml
PyPItf-keras>= 2.21.0, < 2.22pyproject.toml
PyPIxarray—pyproject.toml
All dependencies 19

Full resolved dependency set from the GitHub dependency graph: 13 direct and 6 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaltair—direct
PyPIarviz—direct
PyPIjax—direct
PyPIjaxlib—direct
PyPImatplotlib—direct
PyPInatsort—direct
PyPInumpy—direct
PyPIpandas—direct
PyPIscipy—direct
PyPIstatsmodels—direct
PyPItensorflow—direct
PyPItf-keras—direct
PyPItfp-nightly0.26.0.dev20260130direct
PyPIgrpcio-tools—indirect
PyPImeridian-geox—indirect
PyPImmm-proto-schema—indirect
PyPIpylint—indirect
PyPIpytest—indirect
PyPIsetuptools—indirect
Dependency advisories 0

Installing pypi:google-meridian@2.1.0 pulls in 71 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.