Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-14 09:46 UTC

equinor / fmu-dataio

FMU data standard and data export with rich metadata in the FMU context

PythonApache-2.0★ 11 stars⑂ 20 forkssince Feb 2021View on GitHub ↗
KindLibraryPluginhow this is determined
#data#fmu#jsonschema#python#subsurface#sumo

equinor/fmu-dataio holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on Community & Adoption (54/100). It was last updated today. 3 contributors account for most of its recent work.

96
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.

96
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 84 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

EquinorOrganization · verified domain
1,838 followers760 public repossince Dec 2010

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIfmu-dataio2.32.04,2221170 days agofmusumo

Metrics by category

Vitality

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

99Exceptional · 21% of overall

Development activity

99Exceptional
How it's scored
36/36Push recency — last push 0 days ago
35.3/36Commit cadence — 51/52 weeks with commits
18/18Commit volume — 311 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year311
human_commit_share0.71
days_since_last_push0
active_weeks_last_year51

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~14.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tag2.32.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases14.9
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?

54Moderate · 17% of overall

Popularity & adoption

30At Risk
How it's scored
16.2/60Stars — 11 stars
10.7/25Forks — 20 forks
2.7/15Watchers — 4 watchers
Inputs used
forks20
stars11
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

77Good
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
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbadge.fury.io, github.com, readthedocs.org, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

60Moderate
How it's scored
48.3/80Monthly downloads — 4,222 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesfmu-dataio
dependents—
ecosystemspypi
total_downloads—
monthly_downloads4,222
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?

89Excellent · 23% of overall

Maintainer resilience (bus factor)

72Good
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
16.9/22.5Commit distribution — top contributor authored 25% of commits
13.5/13.5Contributor breadth — 21 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor3
contributors_sampled21
top_contributor_share0.251

Issue & PR responsiveness

92Excellent
How it's scored
37.5/42Issue resolution — 89% of issues closed
27.2/30PR acceptance — 979/1,081 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs979
open_issues84
closed_issues703
prs_merged_7d2
prs_decided_7d2
prs_merged_30d17
prs_decided_30d18
issue_closed_ratio0.893
closed_unmerged_prs102
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.

Ownership & stewardship

98Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
23.5/25Owner reach — 1,838 followers of equinor
25/25Track record — 760 public repos, account ~15 yr old
Inputs used
followers1,838
owner_typeOrganization
is_verifiedyes
owner_loginequinor
public_repos760
account_age_days5,780

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 117 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesfmu-dataio
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-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_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://fmu-dataio.readthedocs.io/en/latest/
10/10Repository description
10/10Topics — 6 topics
10/10Wiki
Inputs used
topicsdata, fmu, jsonschema, python, subsurface, sumo
has_wikiyes
homepagehttps://fmu-dataio.readthedocs.io/en/latest/
docs_sitehttps://fmu-dataio.readthedocs.io/en/latest/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

90Excellent · 16% of overall

Security posture

88Excellent
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
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 15 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate8.8
Excluded from scoring (no data or not applicable): Branch-Protection, 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
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages223
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 223 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

63Moderate · 4% of overall

Agent context & guidance

28At Risk
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
28.5/40Legible commit history — 38 of 71 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.535
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

68Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/fmu/dataio/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 29 of the last 100 commits are automated dependency updates
6/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configssrc/fmu/dataio/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.29

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/fmu/dataio/py.typed)
54.6/55Manageable file sizes — 1/147 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes72,668
source_files_sampled147
oversized_source_files1

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

11GitHub stars
21contributors
311commits, last 12 months
0days since last push
100releases
3bus factor
84open 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:fmu-dataio@2.32.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 20 ⇿
0Stars
20Forks
93Releases

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.

0481216202022021-052023-122026-06
Major 2Minor 40Patch 36

Each point covers 5 days.

OpenSSF Scorecard 8.8 / 10
8.8aggregate

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 · 2026-10-14 09:45 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
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 15 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 10
RegistryPackageVersion constraintManifest
PyPIPyYAML—pyproject.toml
PyPIfmu-datamodels~=0.26.3pyproject.toml
PyPIfmu-settings>=0.34.0pyproject.toml
PyPIfmu-sumo—pyproject.toml
PyPIjsonschema—pyproject.toml
PyPInumpy—pyproject.toml
PyPIpandas—pyproject.toml
PyPIpyarrow—pyproject.toml
PyPIpydantic—pyproject.toml
PyPIxtgeo>=2.16pyproject.toml
All dependencies 223

Full resolved dependency set from the GitHub dependency graph: 11 direct and 212 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIfmu-datamodels0.26.4direct
PyPIfmu-settings1.6.0direct
PyPIfmu-sumo2.16.0direct
PyPIjsonschema4.26.0direct
PyPInumpy2.4.6direct
PyPInumpy2.5.3direct
PyPIpandas3.0.6direct
PyPIpyarrow25.0.1direct
PyPIpydantic2.13.5direct
PyPIpyyaml6.0.3direct
PyPIxtgeo4.26.0direct
PyPIaccessible-pygments0.0.5indirect
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiohttp3.14.4indirect
PyPIaiosignal1.4.0indirect
PyPIalabaster1.0.0indirect
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.15.1indirect
PyPIast-serialize0.12.1indirect
PyPIattrs26.1.0indirect
PyPIautoapi2.0.1indirect
PyPIautodoc-pydantic2.2.0indirect
PyPIazure-core1.41.0indirect
PyPIazure-identity1.26.0indirect
PyPIbabel2.18.0indirect
PyPIbeautifulsoup44.15.0indirect
PyPIblosc24.14.1indirect
PyPIcarolina2.0.4indirect
PyPIcarolina2.0.5indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcftime1.6.6indirect
PyPIcharset-normalizer3.5.2indirect
PyPIclarabel0.11.1indirect
PyPIclick8.5.0indirect
PyPIcloudpickle3.1.2indirect
PyPIcolorama0.4.6indirect
PyPIcontourpy1.3.3indirect
PyPIcontourpy1.4.0indirect
PyPIcoverage7.16.2indirect
PyPIcryptography50.0.2indirect
PyPIcvxpy1.9.3indirect
PyPIcycler0.12.1indirect
PyPIdecorator5.3.1indirect
PyPIdeprecation2.1.0indirect
PyPIdnspython2.8.0indirect
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PyPIemcee3.1.6indirect
PyPIert23.0.1indirect
PyPIert26.0.1indirect
PyPIet-xmlfile2.0.0indirect
PyPIexecnet2.1.2indirect
PyPIfastapi0.142.2indirect
PyPIfastexcel0.21.0indirect
PyPIfilelock4.0.12indirect
PyPIfmu-config1.7.3indirect
PyPIfonttools4.66.1indirect
PyPIfrozenlist1.8.0indirect
PyPIfuro2025.12.19indirect
PyPIgraphite-maps0.0.10indirect
PyPIgraphite-maps0.0.11indirect
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PyPIhighspy1.15.1indirect
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PyPIjinja23.1.6indirect
PyPIjoblib1.6.0indirect
PyPIjsonschema-specifications2025.9.1indirect
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PyPImeshio5.3.5indirect
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PyPImsal-extensions1.3.1indirect
PyPImsgpack1.2.3indirect
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PyPInetcdf41.7.4indirect
PyPInetworkx3.6.1indirect
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PyPInumexpr2.14.2indirect
PyPIopenpyxl3.1.5indirect
PyPIopentelemetry-api1.45.0indirect
PyPIopentelemetry-instrumentation0.66b0indirect
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PyPIorjson3.12.0indirect
PyPIosqp1.1.3indirect
PyPIpackaging26.3indirect
PyPIpandas-stubs3.0.5.260914indirect
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PyPIpbr7.0.3indirect
PyPIpillow12.3.0indirect
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PyPIpolars2.0.0indirect
PyPIpolars-runtime-322.0.0indirect
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PyPIprogressbar24.6.0indirect
PyPIpropcache0.5.4indirect
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PyPIpyarrow-stubs20.0.0.20260819indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.5indirect
PyPIpydantic-settings2.15.0indirect
PyPIpydocstyle6.3.0indirect
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PyPIpyqt6-qt66.9.2indirect
PyPIpyqt6-sip13.13.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-mock3.16.0indirect
PyPIpytest-runner6.0.1indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-calamine0.8.2indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.4indirect
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PyPIscikit-learn1.9.1indirect
PyPIscipy1.17.1indirect
PyPIscipy1.18.1indirect
PyPIscs3.3.1indirect
PyPIseaborn0.13.2indirect
PyPIsegyio1.9.14indirect
PyPIsetuptools84.0.0indirect
PyPIshapely2.1.2indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve2.10indirect
PyPIsparsediffpy0.6.1indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-autodoc-typehints3.13.8indirect
PyPIsphinx-autodoc-typehints3.6.1indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinx-togglebutton0.4.5indirect
PyPIsphinxcontrib-apidoc0.6.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstarlette1.7.0indirect
PyPIsumo-wrapper-python1.10.0indirect
PyPIsurfio0.0.22indirect
PyPIsurfio0.0.24indirect
PyPItables3.11.1indirect
PyPItabulate0.10.0indirect
PyPItenacity9.1.4indirect
PyPIthreadpoolctl3.7.0indirect
PyPItomli2.4.1indirect
PyPItqdm4.70.1indirect
PyPItyper0.27.2indirect
PyPItypes-pyyaml6.0.12.20260906indirect
PyPItypes-requests2.33.0.20261006indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPItzdata2026.5indirect
PyPIurllib32.8.0indirect
PyPIuvicorn0.54.0indirect
PyPIwebsockets17.2indirect
PyPIwheel0.48.0indirect
PyPIwrapt2.5.0indirect
PyPIxarray2026.9.0indirect
PyPIxtgeoviz0.3.2indirect
PyPIyarl1.25.1indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 223 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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

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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 v0.34.0 — full methodology · metrics wiki.

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