Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-13 20:14 UTC

IAMconsortium / nomenclature

A package to work with IAMC-style variable templates

PythonApache-2.0★ 24 stars⑂ 15 forkssince Jun 2021View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

IAMconsortium/nomenclature holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (90/100) and lowest on Community & Adoption (42/100). It was last updated 19 days ago. 2 contributors account for most of its recent work.

84
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.

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

Ownership

105 followers17 public repossince May 2016

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPInomenclature-iamc0.31.11,5975040 days ago

Metrics by category

Vitality

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

81Excellent · 21% of overall
How it's scored
28.8/36Push recencylast push 19 days ago
15.2/36Commit cadence22/52 weeks with commits
14.8/18Commit volume43 commits in the last year
10/10OpenSSF Scorecard: Maintained9 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year43
human_commit_share1
days_since_last_push19
active_weeks_last_year22

Release discipline

100Exceptional
How it's scored
27/27Ships releases51 releases published
36/36Release recencylatest release 40 days ago
27/27Release cadencea release every ~16.3 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count51
latest_release_tagv0.31.1
releases_from_tagsno
days_since_latest_release40
mean_days_between_releases16.3
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?

42Weak · 17% of overall
How it's scored
22.1/60Stars24 stars
9.6/25Forks15 forks
3.3/15Watchers5 watchers
Inputs used
forks15
stars24
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesreadthedocs.org, shields.io
has_pull_request_templateno

Sustainability & Governance

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

77Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
12.8/22.5Commit distributiontop contributor authored 43% of commits
10.8/13.5Contributor breadth8 contributors
10/10OpenSSF Scorecard: Contributorsproject has 5 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled8
top_contributor_share0.431
How it's scored
35.1/42Issue resolution84% of issues closed
28.7/30PR acceptance320/334 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs320
open_issues45
closed_issues227
prs_merged_7d0
prs_decided_7d0
prs_merged_30d2
prs_decided_30d2
issue_closed_ratio0.835
closed_unmerged_prs14
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 backingorganization-owned
0/20Verified domain
14.6/25Owner reach105 followers of IAMconsortium
21.1/25Track record17 public repos, account ~10 yr old
Inputs used
followers105
owner_typeOrganization
is_verifiedno
owner_loginIAMconsortium
public_repos17
account_age_days3,763

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 40 days ago
20/20Version history50 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesnomenclature-iamc
ecosystemspypi
any_deprecatedno
min_days_since_publish40

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall
How it's scored
24/24CI workflows4 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff], [tool.flake8])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests30 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 sitehttps://nomenclature-iamc.readthedocs.io/
10/10Repository description
10/10Topics8 topics
10/10Wiki
Inputs used
topicsscenario, integrated-assessment, energy-systems, scenario-data, iamc-format, timeseries-format, pyam, python
has_wikiyes
homepagehttps://nomenclature-iamc.readthedocs.io/
docs_sitehttps://nomenclature-iamc.readthedocs.io/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

57Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
2.5/2.5CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
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 5 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained9 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities39 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.6
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 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_packages96
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:nomenclature-iamc@0.31.1 runtime dependency closure — what installing the published package pulls in — 96 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.

66Good · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history94 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.94
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff], [tool.flake8])
11/11Static type checkingnomenclature/py.typed
10/10Reproducible environmentlockfile
8/10Demonstrated agent practice4 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsnomenclature/py.typed
agent_commit_share0.04
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (nomenclature/py.typed)
55/55Manageable file sizes0/47 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes37,979
source_files_sampled47
oversized_source_files0

Key facts

24GitHub stars
8contributors
43commits, last 12 months
19days since last push
51releases
2bus factor
45open 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 ★ / 15 ⇿
0Stars
15Forks
45Releases

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.

03581013151512021-062023-112026-05
Major 0Minor 20Patch 16

Each point covers 5 days.

OpenSSF Scorecard 4.6 / 10
4.6aggregate

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 · 2026-09-13 20:14 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/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 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained9 commit(s) and 4 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
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities39 existing vulnerabilities detected
Direct dependencies 12
RegistryPackageVersion constraintManifest
PyPIpyam-iamc(>=3.1,<4.0)pyproject.toml
PyPIopenpyxl(>=3.1.2,<4.0)pyproject.toml
PyPIpydantic(>=2.11,<3)pyproject.toml
PyPIPyYAML(>=6.0.1,<7.0)pyproject.toml
PyPIpandas(>=2.1.2,<3.0)pyproject.toml
PyPIpycountry==23.12.11pyproject.toml
PyPIpysquirrel(>=1.3,<2.0)pyproject.toml
PyPIgitpython(>=3.1.40,<4.0)pyproject.toml
PyPInumpy(>=1.23.0,<3.0)pyproject.toml
PyPIscse-toolkit(>=0.15.2,<2.0)pyproject.toml
PyPItyper(>=0.20,<1.0.0)pyproject.toml
PyPIrich(>=14.0.0,<15)pyproject.toml
All dependencies 120

Full resolved dependency set from the GitHub dependency graph: 12 direct and 108 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIgitpython3.1.50direct
PyPInumpy2.4.6direct
PyPIopenpyxl3.1.5direct
PyPIpandas2.3.3direct
PyPIpyam-iamc3.4.0direct
PyPIpycountry23.12.11direct
PyPIpydantic2.13.4direct
PyPIpysquirrel1.4direct
PyPIpyyaml6.0.3direct
PyPIrich14.3.4direct
PyPIscse-toolkit1.0.5direct
PyPItyper0.26.7direct
PyPIalabaster0.7.16indirect
PyPIalembic1.18.4indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.13.0indirect
PyPIargon2-cffi25.1.0indirect
PyPIargon2-cffi-bindings25.1.0indirect
PyPIbabel2.18.0indirect
PyPIcertifi2026.5.20indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.4.1indirect
PyPIcolorama0.4.6indirect
PyPIcontourpy1.3.3indirect
PyPIcoverage7.14.1indirect
PyPIcycler0.12.1indirect
PyPIdocutils0.21.2indirect
PyPIet-xmlfile2.0.0indirect
PyPIfaker40.23.0indirect
PyPIflake86.1.0indirect
PyPIflexcache0.3indirect
PyPIflexparser0.4indirect
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PyPIh110.16.0indirect
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PyPIhttpcore1.0.9indirect
PyPIhttpx0.27.2indirect
PyPIhyperframe6.1.0indirect
PyPIiam-units2026.5.18indirect
PyPIidna3.18indirect
PyPIimagesize2.0.0indirect
PyPIiniconfig2.3.0indirect
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PyPIplatformdirs4.10.0indirect
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PyPIpolars1.41.2indirect
PyPIpolars-runtime-321.41.2indirect
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PyPIpyflakes3.1.0indirect
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PyPIpyjwt2.13.0indirect
PyPIpyparsing3.3.2indirect
PyPIpytest8.4.2indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpytz2026.2indirect
PyPIrequests2.34.2indirect
PyPIrich-click1.9.8indirect
PyPIruff0.15.17indirect
PyPIscipy1.17.1indirect
PyPIseaborn0.13.2indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsmmap5.0.3indirect
PyPIsniffio1.3.1indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsphinx7.4.7indirect
PyPIsphinx-click5.2.1indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsqlalchemy2.0.50indirect
PyPIsqlalchemy-utils0.42.1indirect
PyPItoml0.10.2indirect
PyPItypeguard4.5.2indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspect0.9.0indirect
PyPItyping-inspection0.4.2indirect
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PyPIurllib32.7.0indirect
PyPIwquantiles0.6indirect
PyPIxlsxwriter3.2.9indirect
Dependency advisories 0

Installing pypi:nomenclature-iamc@0.31.1 pulls in 96 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.