Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-13 20:37 UTC

iiasa / climate-assessment

Python · Jupyter NotebookMIT★ 27 stars⑂ 20 forkssince Jun 2022View on GitHub ↗
KindLibraryhow this is determined

iiasa/climate-assessment holds a health index of 54 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (84/100) and lowest on Vitality (32/100). It was last updated 151 days ago. A single contributor accounts for most of its recent work.

54
overall / 100
Moderate

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.

54
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 53 is calibrated to 54 on the published index scale (record calibration 2026-08-02).

Ownership

IIASAOrganization
217 followers204 public repossince Oct 2015

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIclimate-assessment0.1.6545390 days agoclimateintegrated-assessmentemissionstemperatureipcc

Metrics by category

Vitality

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

32At Risk · 21% of overall

Development activity

18Critical
How it's scored
9.9/36Push recency — last push 151 days ago
1.4/36Commit cadence — 2/52 weeks with commits
6.3/18Commit volume — 4 commits in the last year
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year4
human_commit_share1
days_since_last_push151
active_weeks_last_year2

Release discipline

52Moderate
How it's scored
27/27Ships releases — 7 releases published
7.2/36Release recency — latest release 390 days ago
12.6/27Release cadence — a release every ~194.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count7
latest_release_tagv0.1.6
releases_from_tagsno
days_since_latest_release390
mean_days_between_releases194.7
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?

45Weak · 17% of overall

Popularity & adoption

35Weak
How it's scored
23/60Stars — 27 stars
10.7/25Forks — 20 forks
1.7/15Watchers — 3 watchers
Inputs used
forks20
stars27
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

57Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateyes

Sustainability & Governance

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

60Moderate · 23% of overall

Maintainer resilience (bus factor)

40Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
11/22.5Commit distribution — top contributor authored 51% of commits
9.5/13.5Contributor breadth — 7 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled7
top_contributor_share0.513

Issue & PR responsiveness

56Moderate
How it's scored
18.4/42Issue resolution — 44% of issues closed
21.3/30PR acceptance — 22/31 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
9/15OpenSSF Scorecard: Code-Review — Found 2/3 approved changesets -- score normalized to 6
Inputs used
merged_prs22
open_issues27
closed_issues21
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.438
closed_unmerged_prs9
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

72Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
16.8/25Owner reach — 217 followers of iiasa
25/25Track record — 204 public repos, account ~10 yr old
Inputs used
followers217
owner_typeOrganization
is_verifiedno
owner_loginiiasa
public_repos204
account_age_days3,980

Package maintenance

79Good
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
14/35Publish recency — latest publish 390 days ago
20/20Version history — 5 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesclimate-assessment
ecosystemspypi
any_deprecatedno
min_days_since_publish390

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall

Engineering practices

86Excellent
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
12/20OpenSSF Scorecard: CI-Tests — 2 out of 3 merged PRs checked by a CI test -- score normalized to 6
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://climate-assessment.readthedocs.io/en/latest
0/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepagehttps://climate-assessment.readthedocs.io/en/latest
docs_sitehttps://climate-assessment.readthedocs.io/en/latest
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

46Weak · 16% of overall

Security posture

37Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
1.5/2.5CI-Tests — 2 out of 3 merged PRs checked by a CI test -- score normalized to 6
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
4.5/7.5Code-Review — Found 2/3 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
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
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
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
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 50 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate3.7
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

Dependency advisories

83Excellent
How it's scored
17.9/35Direct dependencies free of known advisories — 1 affected: setuptools 80.10.2 (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_packages112
unassessed_packages0
affected_by_severitymoderate 1
direct_affected_packages1
Matched the pypi:climate-assessment@0.1.6 runtime dependency closure — what installing the published package pulls in — 112 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

4Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
3.7/40Legible commit history — 7 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.07
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

61Moderate
How it's scored
18/18One-command bootstrap — Makefile, docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
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
lockfilespoetry.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
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 — 0/56 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes39,000
source_files_sampled56
oversized_source_files0

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 — notebooks
Inputs used
example_dirsnotebooks
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

27GitHub stars
7contributors
4commits, last 12 months
151days since last push
7releases
1bus factor
27open 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 ★ / 20 ⇿
0Stars
20Forks
6Releases

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.

0481216202032022-062024-052026-04
Major 0Minor 0Patch 6

Each point covers 4 days.

OpenSSF Scorecard 3.7 / 10
3.7aggregate

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 20:36 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
6CI-Tests2 out of 3 merged PRs checked by a CI test -- score normalized to 6
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 2/3 approved changesets -- score normalized to 6
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
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
0Vulnerabilities50 existing vulnerabilities detected
Direct dependencies 12
RegistryPackageVersion constraintManifest
PyPIaneris_iamc==0.3.1pyproject.toml
PyPIfair==1.6.2pyproject.toml
PyPIixmp4>=0.9.10pyproject.toml
PyPIjoblib^1.3.2pyproject.toml
PyPIopenscm-runner==0.12.1pyproject.toml
PyPIpandas^2.2.2pyproject.toml
PyPIpooch^1.8.0pyproject.toml
PyPIpyam-iamc>=2.2.2pyproject.toml
PyPIpymagicc==2.1.5pyproject.toml
PyPIscmdata^0.18.0pyproject.toml
PyPIsilicone==1.3.0pyproject.toml
PyPIsetuptools^80.9.0pyproject.toml
All dependencies 122

Full resolved dependency set from the GitHub dependency graph: 12 direct and 110 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaneris-iamc0.3.1direct
PyPIfair1.6.2direct
PyPIixmp40.9.10direct
PyPIjoblib1.5.1direct
PyPIopenscm-runner0.12.1direct
PyPIpandas2.3.1direct
PyPIpooch1.8.2direct
PyPIpyam-iamc3.0.0direct
PyPIpymagicc2.1.5direct
PyPIscmdata0.18.0direct
PyPIsetuptools80.9.0direct
PyPIsilicone1.3.0direct
PyPIalabaster0.7.16indirect
PyPIalembic1.16.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.9.0indirect
PyPIbabel2.17.0indirect
PyPIcertifi2025.7.14indirect
PyPIcfgv3.4.0indirect
PyPIcftime1.6.4.post1indirect
PyPIcharset-normalizer3.4.2indirect
PyPIclick8.2.1indirect
PyPIcolorama0.4.6indirect
PyPIcontourpy1.3.2indirect
PyPIcoverage7.9.2indirect
PyPIcycler0.12.1indirect
PyPIdistlib0.4.0indirect
PyPIdocutils0.20.1indirect
PyPIet-xmlfile2.0.0indirect
PyPIf90nml1.4.5indirect
PyPIfastapi0.116.1indirect
PyPIfilelock3.18.0indirect
PyPIflexcache0.3indirect
PyPIflexparser0.4indirect
PyPIfonttools4.59.0indirect
PyPIglobalwarmingpotentials0.11.1indirect
PyPIgreenlet3.2.3indirect
PyPIh110.16.0indirect
PyPIh24.2.0indirect
PyPIhpack4.1.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhyperframe6.1.0indirect
PyPIiam-units2023.9.12indirect
PyPIidentify2.6.12indirect
PyPIidna3.10indirect
PyPIimagesize1.4.1indirect
PyPIiniconfig2.1.0indirect
PyPIjinja23.1.6indirect
PyPIkiwisolver1.4.8indirect
PyPImako1.3.10indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkupsafe3.0.2indirect
PyPImatplotlib3.10.3indirect
PyPImdurl0.1.2indirect
PyPImypy1.17.0indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.9.1indirect
PyPInumpy2.3.1indirect
PyPIopenpyxl3.1.5indirect
PyPIopenscm-units0.6.3indirect
PyPIpackaging25.0indirect
PyPIpandas-datapackage-reader0.18.0indirect
PyPIpandera0.25.0indirect
PyPIpathspec0.12.1indirect
PyPIpillow11.3.0indirect
PyPIpint0.24.4indirect
PyPIpint-pandas0.7.1indirect
PyPIplatformdirs4.3.8indirect
PyPIpluggy1.6.0indirect
PyPIply3.11indirect
PyPIpre-commit3.8.0indirect
PyPIpsycopg3.2.9indirect
PyPIpsycopg-binary3.2.9indirect
PyPIpydantic2.11.7indirect
PyPIpydantic-core2.33.2indirect
PyPIpydantic-settings2.10.1indirect
PyPIpygments2.19.2indirect
PyPIpyjwt2.10.1indirect
PyPIpyomo6.9.2indirect
PyPIpyparsing3.2.3indirect
PyPIpytest8.4.1indirect
PyPIpytest-cov5.0.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.1.1indirect
PyPIpytz2025.2indirect
PyPIpyyaml6.0.2indirect
PyPIrequests2.32.4indirect
PyPIrich14.0.0indirect
PyPIscipy1.16.0indirect
PyPIseaborn0.13.2indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsphinx7.4.7indirect
PyPIsphinx-rtd-theme2.0.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsqlalchemy2.0.41indirect
PyPIsqlalchemy-utils0.41.2indirect
PyPIstarlette0.47.2indirect
PyPItoml0.10.2indirect
PyPItqdm4.67.1indirect
PyPItypeguard4.4.4indirect
PyPItyper0.16.0indirect
PyPItyping-extensions4.14.1indirect
PyPItyping-inspect0.9.0indirect
PyPItyping-inspection0.4.1indirect
PyPItzdata2025.2indirect
PyPIurllib32.5.0indirect
PyPIversioneer0.29indirect
PyPIvirtualenv20.32.0indirect
PyPIwquantiles0.6indirect
PyPIxarray2025.7.1indirect
PyPIxlrd2.0.2indirect
PyPIxlsxwriter3.2.5indirect
Dependency advisories 1

Installing pypi:climate-assessment@0.1.6 pulls in 112 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
setuptools80.10.2directmoderate283.0.0

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

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 v0.34.0 — full methodology · metrics wiki.

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