Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-13 20:41 UTC

phackstock / pyam

an open-source Python package for IAM scenario analysis and visualization

PythonApache-2.0★ 0 stars⑂ 0 forkssince Aug 2021forkView on GitHub ↗
KindLibraryhow this is determined

phackstock/pyam holds a health index of 48 out of 100, placing it in the Weak band. It scores highest on Engineering Quality (68/100) and lowest on Community & Adoption (12/100). It was last updated 39 days ago. A single contributor accounts for most of its recent work.

48
overall / 100
Weak

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.

48
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 49 is calibrated to 48 on the published index scale (record calibration 2026-08-02).

Ownership

Philip HackstockPersonal account
10 followers24 public repossince Jul 2016International Institute for Applied Systems Analysis (IIASA)

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIpyam-iamc3.5.044,1294338 days ago

Metrics by category

Vitality

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

46Weak · 21% of overall

Development activity

50Moderate
How it's scored
18/36Push recency — last push 39 days ago
13.8/36Commit cadence — 20/52 weeks with commits
14.7/18Commit volume — 42 commits in the last year
4/10OpenSSF Scorecard: Maintained — 5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
Inputs used
commits_last_year42
human_commit_share0.9
days_since_last_push39
active_weeks_last_year20

Release discipline

40Weak
How it's scored
16.2/27Ships releases — 18 version tags (no GitHub releases)
0/36Release recency — latest release 1,861 days ago
19.8/27Release cadence — a release every ~47.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count18
latest_release_tagv1.1.0
releases_from_tagsyes
days_since_latest_release1,861
mean_days_between_releases47.9
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?

12Critical · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 0 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

25At Risk
How it's scored
0/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeno
has_licenseno
readme_badges12
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, readthedocs.org, shields.io
has_pull_request_templateno

Sustainability & Governance

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

61Moderate · 23% of overall

Maintainer resilience (bus factor)

40Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
7.3/22.5Commit distribution — top contributor authored 67% of commits
13.5/13.5Contributor breadth — 32 contributors
10/10OpenSSF Scorecard: Contributors — project has 12 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled32
top_contributor_share0.674

Issue & PR responsiveness

67Good
How it's scored
0/42Issue resolution — no issues or no data
30/30PR acceptance — 1/1 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs1
open_issues0
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio—
closed_unmerged_prs0
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

50Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
7.5/25Owner reach — 10 followers of phackstock
22.2/25Track record — 24 public repos, account ~10 yr old
Inputs used
followers10
owner_typeUser
is_verified—
owner_loginphackstock
public_repos24
account_age_days3,699
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 38 days ago
20/20Version history — 43 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespyam-iamc
ecosystemspypi
any_deprecatedno
min_days_since_publish38

Engineering Quality

Are baseline engineering and documentation practices in place?

68Good · 19% of overall

Engineering practices

80Excellent
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

50Moderate
How it's scored
0/30README
25/25Documentation directory
15/15Documentation / homepage site — https://pyam-iamc.readthedocs.io/
0/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepagehttps://pyam-iamc.readthedocs.io/
docs_sitehttps://pyam-iamc.readthedocs.io/
has_readmeno
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

33At Risk
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — no data
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 12 contributing companies or organizations
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
3/7.5Maintained — 5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — no SAST tool detected
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
4.5/7.5Vulnerabilities — 4 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate3.3
Excluded from scoring (no data or not applicable): CI-Tests, Packaging, 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_packages90
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:pyam-iamc@3.5.0 runtime dependency closure — what installing the published package pulls in — 90 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.

63Moderate · 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 — 89 of 90 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.989
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

69Good
How it's scored
18/18One-command bootstrap — docs/Makefile, manuscripts/ORE/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 10 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile, manuscripts/ORE/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.1

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.4/55Manageable file sizes — 1/85 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes111,212
source_files_sampled85
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, notebooks
Inputs used
example_dirsexamples, notebooks
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

0GitHub stars
32contributors
42commits, last 12 months
39days since last push
18releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Community profile unavailable

More detail

OpenSSF Scorecard 3.3 / 10
3.3aggregate

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 · 2026-09-13 20:40 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
10Contributorsproject has 12 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
4Maintained5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6Vulnerabilities4 existing vulnerabilities detected
Direct dependencies 13
RegistryPackageVersion constraintManifest
PyPIiam-units>=2021.8.12pyproject.toml
PyPIixmp4>=0.16.4pyproject.toml
PyPImatplotlib>=3.6.0, <3.11pyproject.toml
PyPInumpy>=1.26.0, <2.5pyproject.toml
PyPIopenpyxl>=3.1.2pyproject.toml
PyPIpandas>=2.1.2, <3.0.0pyproject.toml
PyPIPint>=0.16pyproject.toml
PyPIPyYAML>=6.0.1pyproject.toml
PyPIscipy>=1.10.0pyproject.toml
PyPIseaborn>=0.11pyproject.toml
PyPIrequests>2.27.1pyproject.toml
PyPIwquantiles>=0.6pyproject.toml
PyPIXlsxWriter>=3.0.3pyproject.toml
All dependencies 201

Full resolved dependency set from the GitHub dependency graph: 13 direct and 188 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIiam-units2026.5.18direct
PyPIixmp40.16.6direct
PyPImatplotlib3.10.9direct
PyPInumpy2.2.6direct
PyPIopenpyxl3.1.5direct
PyPIpandas2.3.3direct
PyPIpint0.24.4direct
PyPIpyyaml6.0.3direct
PyPIrequests2.34.2direct
PyPIscipy1.15.3direct
PyPIseaborn0.13.2direct
PyPIwquantiles0.6direct
PyPIxlsxwriter3.2.9direct
PyPIalabaster1.0.0indirect
PyPIalembic1.18.5indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.14.2indirect
PyPIappdirs1.4.4indirect
PyPIappnope0.1.4indirect
PyPIargon2-cffi25.1.0indirect
PyPIargon2-cffi-bindings25.1.0indirect
PyPIast-serialize0.6.0indirect
PyPIasttokens3.0.2indirect
PyPIattrs26.1.0indirect
PyPIautodocsumm0.2.15indirect
PyPIbabel2.18.0indirect
PyPIbackoff2.2.1indirect
PyPIbeautifulsoup44.15.0indirect
PyPIbleach6.4.0indirect
PyPIboto31.43.54indirect
PyPIbotocore1.43.54indirect
PyPIcached-property2.0.1indirect
PyPIcachetools5.5.2indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.0indirect
PyPIchardet7.4.3indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
PyPIcontourpy1.3.2indirect
PyPIcoverage7.15.2indirect
PyPIcoveralls4.1.0indirect
PyPIcycler0.12.1indirect
PyPIdataflows-tabulator1.54.3indirect
PyPIdatapackage1.15.4indirect
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PyPIdebugpy1.8.21indirect
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PyPIexecuting2.2.1indirect
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PyPIfaker40.35.0indirect
PyPIfastjsonschema2.21.2indirect
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PyPIh110.16.0indirect
PyPIh24.3.0indirect
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PyPIhttpcore1.0.9indirect
PyPIhttpx0.27.2indirect
PyPIhyperframe6.1.0indirect
PyPIidna3.18indirect
PyPIijson3.5.1indirect
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PyPIiniconfig2.3.0indirect
PyPIipykernel7.3.0indirect
PyPIipython8.39.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIisodate0.7.2indirect
PyPIjedi0.20.0indirect
PyPIjinja23.1.6indirect
PyPIjmespath1.1.0indirect
PyPIjsonlines4.0.0indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter-client8.9.1indirect
PyPIjupyter-core5.9.1indirect
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PyPIkaleido0.2.1indirect
PyPIkiwisolver1.5.0indirect
PyPIlibrt0.13.0indirect
PyPIlinear-tsv1.1.0indirect
PyPIlitestar2.24.0indirect
PyPIlitestar-htmx0.5.0indirect
PyPImako1.3.12indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.2indirect
PyPImdurl0.1.2indirect
PyPIminio7.2.20indirect
PyPImistune3.3.4indirect
PyPImsgspec0.21.1indirect
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PyPInbsphinx0.9.8indirect
PyPInest-asyncio21.7.2indirect
PyPInumpydoc1.10.0indirect
PyPIpackaging26.2indirect
PyPIpandas-stubs2.3.3.260113indirect
PyPIpandera0.32.1indirect
PyPIpandocfilters1.5.1indirect
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PyPIplatformdirs4.11.0indirect
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PyPIpolars-runtime-321.43.0indirect
PyPIpolyfactory3.3.0indirect
PyPIpooch1.9.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpsutil7.2.2indirect
PyPIpsycopg3.3.4indirect
PyPIpsycopg-binary3.3.4indirect
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PyPIpycparser3.0indirect
PyPIpycryptodome3.23.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings2.14.2indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpypandoc1.17indirect
PyPIpyparsing3.3.2indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-mpl0.19.0indirect
PyPIpython-calamine0.8.2indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpytz2026.2indirect
PyPIpyzmq27.1.0indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.7.19indirect
PyPIrfc39862.0.0indirect
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PyPIrich-click1.9.8indirect
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PyPIsniffio1.3.1indirect
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PyPIsphinx8.1.3indirect
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PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
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PyPIsqlalchemy-utils0.42.1indirect
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PyPItableschema1.21.0indirect
PyPItabulate0.10.0indirect
PyPItinycss21.5.1indirect
PyPItoml0.10.2indirect
PyPItomli2.4.1indirect
PyPItornado6.5.7indirect
PyPItraitlets5.15.1indirect
PyPItreelib1.8.0indirect
PyPItypeguard4.5.2indirect
PyPItyper0.27.0indirect
PyPItypes-pytz2026.2.0.20260518indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspect0.9.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPItzlocal5.4.4indirect
PyPIunfccc-di-api4.0.4indirect
PyPIunicodecsv0.14.1indirect
PyPIurllib32.7.0indirect
PyPIwbdata1.1.0indirect
PyPIwcwidth0.8.2indirect
PyPIwebencodings0.5.1indirect
PyPIxarray2025.6.1indirect
PyPIxlrd2.0.2indirect
Dependency advisories 0

Installing pypi:pyam-iamc@3.5.0 pulls in 90 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

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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.