Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-19 23:23 UTC

datacommonsorg / datacommons

Python · HCLApache-2.0★ 8 stars⑂ 17 forkssince May 2025View on GitHub ↗
KindCommand-line toolLibraryNetwork servicehow this is determined

datacommonsorg/datacommons holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Vitality (90/100) and lowest on Community & Adoption (48/100). It was last updated 1 day ago. 2 contributors account for most of its recent work.

89
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.

89
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 75 is calibrated to 89 on the published index scale (record calibration 2026-08-02).

Ownership

datacommons.orgOrganization
232 followers14 public repossince Jun 2019

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIdatacommons-db1.1.5-39 days ago
PyPIdatacommons-cli1.1.5-109 days ago
PyPIdatacommons-admin1.1.5-109 days ago

Metrics by category

Vitality

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

90Excellent · 21% of overall

Development activity

83Excellent
How it's scored
36/36Push recency — last push 1 days ago
19.4/36Commit cadence — 28/52 weeks with commits
18/18Commit volume — 211 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_year211
human_commit_share1
days_since_last_push1
active_weeks_last_year28

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 9 releases published
36/36Release recency — latest release 9 days ago
27/27Release cadence — a release every ~13.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count9
latest_release_tagv1.1.5
releases_from_tagsno
days_since_latest_release9
mean_days_between_releases13.1
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?

48Weak · 17% of overall

Popularity & adoption

28At Risk
How it's scored
13.7/60Stars — 8 stars
10/25Forks — 17 forks
3.9/15Watchers — 6 watchers
Inputs used
forks17
stars8
watchers6
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_badges1
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com
has_pull_request_templateno

Sustainability & Governance

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

79Good · 23% of overall

Maintainer resilience (bus factor)

60Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
15/22.5Commit distribution — top contributor authored 33% of commits
13.5/13.5Contributor breadth — 12 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor2
contributors_sampled12
top_contributor_share0.333

Issue & PR responsiveness

96Exceptional
How it's scored
42/42Issue resolution — 100% of issues closed
25.7/30PR acceptance — 220/257 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs220
open_issues0
closed_issues1
prs_merged_7d5
prs_decided_7d7
prs_merged_30d42
prs_decided_30d50
issue_closed_ratio1
closed_unmerged_prs37
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1

Ownership & stewardship

68Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
17/25Owner reach — 232 followers of datacommonsorg
20.6/25Track record — 14 public repos, account ~7 yr old
Inputs used
followers232
owner_typeOrganization
is_verifiedno
owner_logindatacommonsorg
public_repos14
account_age_days2,648

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 3 package(s) on pypi
35/35Publish recency — latest publish 9 days ago
20/20Version history — 10 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdatacommons-db, datacommons-cli, datacommons-admin
ecosystemspypi
any_deprecatedno
min_days_since_publish9

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
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

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://github.com/datacommonsorg/datacommons#readme
0/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_sitehttps://github.com/datacommonsorg/datacommons#readme
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

71Good · 16% of overall

Security posture

68Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0.8/7.5Branch-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
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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
0/5Packaging — no data
3.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
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
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 20 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.8
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

83Excellent
How it's scored
17.9/35Direct dependencies free of known advisories — 1 affected: setuptools 80.0.0 (moderate 6.1)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
40/40No advisories left outstanding — no advisory has been public longer than 90 days
Inputs used
sourceosv
advisories2
affected_packages1
assessed_packages36
unassessed_packages0
affected_by_severitymoderate 1
direct_affected_packages1
Matched the pypi:datacommons-db@1.1.5 runtime dependency closure — what installing the published package pulls in — 36 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.

49Weak · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
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—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

58Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
8/10Demonstrated agent practice — 4 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.04
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/126 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes51,947
source_files_sampled126
oversized_source_files0

Machine-readable interfaces

40Weak
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — samples
Inputs used
example_dirssamples
has_mcp_signalno
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

8GitHub stars
12contributors
211commits, last 12 months
1days since last push
9releases
2bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'datacommons-platform' from its registry
  • pypi download statistics for 'datacommons-db' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • Could not fetch pypi package 'datacommons-api' from its registry
  • pypi download statistics for 'datacommons-cli' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download statistics for 'datacommons-admin' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • Could not fetch pypi package 'datacommons-schema' from its registry
  • Could not fetch pypi package 'datacommons-devtools' from its registry

More detail

Star and fork history 0 ★ / 17 ⇿
0Stars
17Forks
9Releases

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.

0481216201722025-052026-012026-09
Major 1Minor 1Patch 6

Each point covers 2 days.

OpenSSF Scorecard 6.8 / 10
6.8aggregate

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 · 2026-09-19 23:23 UTC

10Binary-Artifactsno binaries found in the repo
1Branch-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
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
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
n/aPackagingpackaging workflow not detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities20 existing vulnerabilities detected
Direct dependencies 25
RegistryPackageVersion constraintManifest
PyPIdatacommons-cli—pyproject.toml
PyPIclick>=8.1.7packages/datacommons-admin/pyproject.toml
PyPIgoogle-cloud-storage>=2.13.0packages/datacommons-admin/pyproject.toml
PyPIpyopenssl>=24.0.0packages/datacommons-admin/pyproject.toml
PyPIdatacommons-db==1.1.5packages/datacommons-admin/pyproject.toml
PyPIfastapi>=0.95.0packages/datacommons-api/pyproject.toml
PyPIuvicorn>=0.22.0packages/datacommons-api/pyproject.toml
PyPIsqlalchemy>=2.0.0packages/datacommons-api/pyproject.toml
PyPIpydantic>=2.0.0packages/datacommons-api/pyproject.toml
PyPIclick>=8.1.7packages/datacommons-api/pyproject.toml
PyPIdatacommons-db—packages/datacommons-api/pyproject.toml
PyPIdatacommons-schema—packages/datacommons-api/pyproject.toml
PyPIsqlalchemy-spanner>=1.17.2packages/datacommons-api/pyproject.toml
PyPIpython-dotenv>=1.2.1packages/datacommons-api/pyproject.toml
PyPIclick>=8.1.7packages/datacommons-cli/pyproject.toml
PyPIdatacommons-admin==1.1.5packages/datacommons-cli/pyproject.toml
PyPIsqlalchemy—packages/datacommons-db/pyproject.toml
PyPIsqlalchemy-spanner—packages/datacommons-db/pyproject.toml
PyPIgoogle-cloud-spanner>=3.67.0packages/datacommons-db/pyproject.toml
PyPIsetuptools<=80.0.0packages/datacommons-db/pyproject.toml
PyPIclick>=8.1.7packages/datacommons-devtools/pyproject.toml
PyPIclick—packages/datacommons-schema/pyproject.toml
PyPIpydantic—packages/datacommons-schema/pyproject.toml
PyPIpyshacl—packages/datacommons-schema/pyproject.toml
PyPIrdflib—packages/datacommons-schema/pyproject.toml
All dependencies 103

Full resolved dependency set from the GitHub dependency graph: 31 direct and 72 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIclick—direct
PyPIclick8.3.1direct
PyPIdatacommons-admin—direct
PyPIdatacommons-admin1.1.5direct
PyPIdatacommons-db—direct
PyPIdatacommons-db1.1.5direct
PyPIdatacommons-schema—direct
PyPIfastapi—direct
PyPIfastapi0.128.6direct
PyPIgoogle-cloud-spanner—direct
PyPIgoogle-cloud-spanner3.67.0direct
PyPIgoogle-cloud-storage—direct
PyPIgoogle-cloud-storage3.10.1direct
PyPIpydantic—direct
PyPIpydantic2.12.5direct
PyPIpyopenssl—direct
PyPIpyopenssl26.2.0direct
PyPIpyshacl—direct
PyPIpyshacl0.31.0direct
PyPIpython-dotenv—direct
PyPIpython-dotenv1.2.2direct
PyPIrdflib—direct
PyPIrdflib7.5.0direct
PyPIsetuptools—direct
PyPIsetuptools80.0.0direct
PyPIsqlalchemy—direct
PyPIsqlalchemy2.0.46direct
PyPIsqlalchemy-spanner—direct
PyPIsqlalchemy-spanner1.17.2direct
PyPIuvicorn—direct
PyPIuvicorn0.40.0direct
PyPIalembic1.18.3indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.12.1indirect
PyPIcertifi2026.1.4indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIcolorama0.4.6indirect
PyPIcryptography48.0.1indirect
PyPIdatacommons-client2.1.6indirect
PyPIdistlib0.4.0indirect
PyPIfilelock3.21.2indirect
PyPIgoogle-api-core2.29.0indirect
PyPIgoogle-auth2.48.0indirect
PyPIgoogle-cloud-core2.5.0indirect
PyPIgoogle-cloud-monitoring2.29.1indirect
PyPIgoogle-crc32c1.8.0indirect
PyPIgoogle-resumable-media2.9.0indirect
PyPIgoogleapis-common-protos1.72.0indirect
PyPIgreenlet3.3.1indirect
PyPIgrpc-google-iam-v10.14.3indirect
PyPIgrpc-interceptor0.15.4indirect
PyPIgrpcio1.78.0indirect
PyPIgrpcio-status1.78.0indirect
PyPIh110.16.0indirect
PyPIhtml5rdf1.2.1indirect
PyPIhttptools0.7.1indirect
PyPIidentify2.6.16indirect
PyPIidna3.15indirect
PyPIimportlib-metadata8.7.1indirect
PyPIiniconfig2.3.0indirect
PyPImako1.3.12indirect
PyPImarkupsafe3.0.3indirect
PyPImmh35.2.0indirect
PyPInodeenv1.10.0indirect
PyPIopentelemetry-api1.39.1indirect
PyPIopentelemetry-resourcedetector-gcp1.11.0a0indirect
PyPIopentelemetry-sdk1.39.1indirect
PyPIopentelemetry-semantic-conventions0.60b1indirect
PyPIowlrl7.1.4indirect
PyPIpackaging26.0indirect
PyPIplatformdirs4.7.1indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.5.1indirect
PyPIprettytable3.17.0indirect
PyPIproto-plus1.27.1indirect
PyPIprotobuf6.33.5indirect
PyPIpyasn10.6.3indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.41.5indirect
PyPIpygments2.20.0indirect
PyPIpyparsing3.3.2indirect
PyPIpytest—indirect
PyPIpytest9.0.3indirect
PyPIpyyaml6.0.3indirect
PyPIrequests2.33.0indirect
PyPIrsa4.9.1indirect
PyPIruff0.15.0indirect
PyPIsqlparse0.5.5indirect
PyPIstarlette0.52.1indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.7.0indirect
PyPIuv—indirect
PyPIuvloop0.22.1indirect
PyPIvirtualenv20.36.1indirect
PyPIwatchfiles1.1.1indirect
PyPIwcwidth0.6.0indirect
PyPIwebsockets16.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 1

Installing pypi:datacommons-db@1.1.5 pulls in 36 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
setuptools80.0.0directmoderate283.0.0

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

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