Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-19 03:33 UTC

IAMconsortium / pyam

Analysis & visualization of energy & climate scenarios

PythonApache-2.0★ 290 stars⑂ 132 forkssince Dec 2017View on GitHub ↗

#integrated-assessment #scenario #analysis #iamc-format #visualization #macro-energy #energy-systems #modeling #timeseries-format #integrated-assessment-scenarios #scenario-data #pyam

IAMconsortium/pyam holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (90/100) and lowest on AI Readiness (63/100). It was last updated 3 days ago. A single contributor accounts for most of its recent work.

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.

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)

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

Integrated Assessment Modeling Consortium (IAMC)Organization

107 followers17 public repossince May 2016

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

Package ecosystems

Registry	Package	Version	Downloads / mo	Versions	Last publish
PyPI	pyam-iamc	4.0.0	29,464	44	3 days ago

Metrics by category

Vitality

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

81Excellent · 21% of overall

Development activity

74Good

How it's scored

36/36	Push recency — last push 3 days ago
13.8/36	Commit cadence — 20/52 weeks with commits
14.9/18	Commit volume — 45 commits in the last year
9/10	OpenSSF Scorecard: Maintained — 10 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 9

Inputs used

commits_last_year	45
human_commit_share	0.9
days_since_last_push	3
active_weeks_last_year	20

Release discipline

92Excellent

How it's scored

27/27	Ships releases — 44 releases published
36/36	Release recency — latest release 3 days ago
19.8/27	Release cadence — a release every ~79 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	44
latest_release_tag	v4.0.0
releases_from_tags	no
days_since_latest_release	3
mean_days_between_releases	79

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?

70Good · 17% of overall

Popularity & adoption

63Moderate

How it's scored

39.9/60	Stars — 290 stars
17.6/25	Forks — 132 forks
5.8/15	Watchers — 12 watchers

Inputs used

forks	132
stars	290
watchers	12
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

77Good

How it's scored

22.5/22.5	README
22.5/22.5	License — recognized license (Apache-2.0)
18/18	CONTRIBUTING guide
0/13.5	Code of conduct
0/7.2	Issue template
6.3/6.3	PR template

Inputs used

has_readme	yes
has_license	yes
readme_badges	12
has_contributing	yes
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	codecov.io, readthedocs.org, shields.io
has_pull_request_template	yes

Sustainability & Governance

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

66Good · 23% of overall

Maintainer resilience (bus factor)

40Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
7.3/22.5	Commit distribution — top contributor authored 68% of commits
13.5/13.5	Contributor breadth — 33 contributors
10/10	OpenSSF Scorecard: Contributors — project has 12 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	33
top_contributor_share	0.676

Issue & PR responsiveness

71Good

How it's scored

28.4/42	Issue resolution — 68% of issues closed
25/30	PR acceptance — 584/702 decided PRs merged
13/13	Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
4.5/15	OpenSSF Scorecard: Code-Review — Found 10/28 approved changesets -- score normalized to 3

Inputs used

merged_prs	584
open_issues	96
closed_issues	201
prs_merged_7d	3
prs_decided_7d	3
prs_merged_30d	3
prs_decided_30d	3
issue_closed_ratio	0.677
closed_unmerged_prs	118
first_time_authors_30d	1
first_time_prs_merged_30d	1
first_time_prs_decided_30d	1

Ownership & stewardship

66Good

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
14.6/25	Owner reach — 107 followers of IAMconsortium
21.1/25	Track record — 17 public repos, account ~10 yr old

Inputs used

followers	107
owner_type	Organization
is_verified	no
owner_login	IAMconsortium
public_repos	17
account_age_days	3,798

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 3 days ago
20/20	Version history — 44 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	pyam-iamc
ecosystems	pypi
any_deprecated	no
min_days_since_publish	3

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall

Engineering practices

84Excellent

How it's scored

24/24	CI workflows — 5 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff])
0/9.6	Pre-commit hooks
0/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	yes
has_precommit_config	no

Documentation

100Exceptional

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://pyam-iamc.readthedocs.io/
10/10	Repository description
10/10	Topics — 12 topics
10/10	Wiki

Inputs used

topics	integrated-assessment, scenario, analysis, iamc-format, visualization, macro-energy, energy-systems, modeling, timeseries-format, integrated-assessment-scenarios, scenario-data, pyam
has_wiki	yes
homepage	https://pyam-iamc.readthedocs.io/
docs_site	https://pyam-iamc.readthedocs.io/
has_readme	yes
has_docs_dir	yes
has_description	yes

Security

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

68Good · 16% of overall

Security posture

60Moderate

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — no data
2.5/2.5	CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
2.2/7.5	Code-Review — Found 10/28 approved changesets -- score normalized to 3
2.5/2.5	Contributors — project has 12 contributing companies or organizations
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5	Dependency-Update-Tool — update tool detected
0/5	Fuzzing — project is not fuzzed
2.5/2.5	License — license file detected
6.8/7.5	Maintained — 10 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 9
5/5	Packaging — packaging workflow detected
0/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5	SAST — SAST tool is not run on all commits -- score normalized to 0
0/5	Security-Policy — security policy file not detected
0/7.5	Signed-Releases — no data
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5	Vulnerabilities — 0 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	16
scorecard_version	v5.5.0
checks_inconclusive	2
scorecard_aggregate	6

Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional

How it's scored

35/35	Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25	Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40	No advisories left outstanding — no advisory carries a publication date

Inputs used

source	osv
advisories	0
affected_packages	0
assessed_packages	109
unassessed_packages	0
affected_by_severity	none
direct_affected_packages	0

Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:pyam-iamc@4.0.0 runtime dependency closure — what installing the published package pulls in — 109 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

0/45	Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15	Machine-readable docs (llms.txt)
40/40	Legible commit history — 88 of 90 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.978
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

69Good

How it's scored

18/18	One-command bootstrap — docs/Makefile, manuscripts/ORE/Makefile
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
0/11	Static type checking
10/10	Reproducible environment — lockfile
0/10	Demonstrated agent practice — no agent-authored commits among the last 100
8/8	Automated maintenance — 10 of the last 100 commits are automated dependency updates
0/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0

Inputs used

has_nix	no
has_tests	yes
lockfiles	poetry.lock
has_dockerfile	no
typed_language	no
bootstrap_files	docs/Makefile, manuscripts/ORE/Makefile
has_devcontainer	no
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0
toolchain_manifests	—
dependency_bot_commit_share	0.1

Code legibility for models

54Moderate

How it's scored

0/45	Type-checkable code — Python without a type-check config
54.4/55	Manageable file sizes — 1/85 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	111,276
source_files_sampled	85
oversized_source_files	1

Machine-readable interfaces

100Exceptional

How it's scored

0/40	API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20	MCP server — not applicable to this kind of software
40/40	Runnable examples — examples, notebooks

Inputs used

example_dirs	examples, notebooks
has_mcp_signal	no
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

290GitHub stars

33contributors

45commits, last 12 months

3days since last push

44releases

1bus factor

96open 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 ★ / 132 ⇿

0Stars

132Forks

43Releases

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.

Major 3Minor 30Patch 10

Each point covers 8 days.

OpenSSF Scorecard 6.0 / 10

6.0aggregate

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 · 2026-10-19 03:32 UTC

10	Binary-Artifacts	no binaries found in the repo
n/a	Branch-Protection	internal 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
10	CI-Tests	30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
3	Code-Review	Found 10/28 approved changesets -- score normalized to 3
10	Contributors	project has 12 contributing companies or organizations
10	Dangerous-Workflow	no dangerous workflow patterns detected
10	Dependency-Update-Tool	update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
9	Maintained	10 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 9
10	Packaging	packaging workflow detected
0	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 0
0	SAST	SAST tool is not run on all commits -- score normalized to 0
0	Security-Policy	security policy file not detected
n/a	Signed-Releases	no releases found
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
10	Vulnerabilities	0 existing vulnerabilities detected

Direct dependencies 15

Registry	Package	Version constraint	Manifest
PyPI	iam-units	`>=2021.8.12`	pyproject.toml
PyPI	ixmp4	`>=0.16.4`	pyproject.toml
PyPI	matplotlib	`>=3.6.0, <3.11`	pyproject.toml
PyPI	numpy	`>=1.26.0, <2.5`	pyproject.toml
PyPI	openpyxl	`>=3.1.2`	pyproject.toml
PyPI	pandas	`>=2.2.0, <4.0.0`	pyproject.toml
PyPI	Pint	`>=0.16`	pyproject.toml
PyPI	PyYAML	`>=6.0.1`	pyproject.toml
PyPI	scipy	`>=1.10.0`	pyproject.toml
PyPI	seaborn	`>=0.11`	pyproject.toml
PyPI	requests	`>2.27.1`	pyproject.toml
PyPI	wquantiles	`>=0.6`	pyproject.toml
PyPI	XlsxWriter	`>=3.0.3`	pyproject.toml
PyPI	ipykernel	`(>=7.4.0,<8.0.0)`	pyproject.toml
PyPI	packaging	`(>=26.3,<27.0)`	pyproject.toml

All dependencies 194

Full resolved dependency set from the GitHub dependency graph: 15 direct and 179 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	iam-units	`2026.8.5`	direct
PyPI	ipykernel	`7.4.0`	direct
PyPI	ixmp4	`0.16.11`	direct
PyPI	matplotlib	`3.10.9`	direct
PyPI	numpy	`2.4.6`	direct
PyPI	openpyxl	`3.1.5`	direct
PyPI	packaging	`26.3`	direct
PyPI	pandas	`3.0.6`	direct
PyPI	pint	`0.25.3`	direct
PyPI	pyyaml	`6.0.3`	direct
PyPI	requests	`2.34.2`	direct
PyPI	scipy	`1.17.1`	direct
PyPI	seaborn	`0.13.2`	direct
PyPI	wquantiles	`0.6`	direct
PyPI	xlsxwriter	`3.2.9`	direct
PyPI	alabaster	`1.0.0`	indirect
PyPI	alembic	`1.20.0`	indirect
PyPI	annotated-doc	`0.0.5`	indirect
PyPI	annotated-types	`0.8.0`	indirect
PyPI	anyio	`4.15.1`	indirect
PyPI	appdirs	`1.4.4`	indirect
PyPI	appnope	`1.0.0`	indirect
PyPI	ast-serialize	`0.12.1`	indirect
PyPI	asttokens	`3.0.2`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	autodocsumm	`0.2.15`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	backoff	`2.2.1`	indirect
PyPI	beautifulsoup4	`4.15.0`	indirect
PyPI	bleach	`6.4.0`	indirect
PyPI	boto3	`1.43.111`	indirect
PyPI	botocore	`1.43.111`	indirect
PyPI	cached-property	`2.0.1`	indirect
PyPI	cachetools	`5.5.2`	indirect
PyPI	certifi	`2026.7.22`	indirect
PyPI	cffi	`2.1.1`	indirect
PyPI	chardet	`7.6.0`	indirect
PyPI	charset-normalizer	`3.5.2`	indirect
PyPI	click	`8.5.0`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	coverage	`7.16.2`	indirect
PyPI	coveralls	`4.1.0`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	dataflows-tabulator	`1.54.3`	indirect
PyPI	datapackage	`1.15.4`	indirect
PyPI	dateparser	`1.4.3`	indirect
PyPI	debugpy	`1.8.22`	indirect
PyPI	decorator	`5.3.1`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	docutils	`0.22.4`	indirect
PyPI	et-xmlfile	`2.0.0`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	fake-useragent	`2.2.0`	indirect
PyPI	faker	`40.43.0`	indirect
PyPI	fastjsonschema	`2.22.2`	indirect
PyPI	flexcache	`0.3`	indirect
PyPI	flexparser	`0.4`	indirect
PyPI	fonttools	`4.66.1`	indirect
PyPI	greenlet	`3.5.6`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	h2	`4.4.1`	indirect
PyPI	hpack	`4.2.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.27.2`	indirect
PyPI	hyperframe	`6.1.0`	indirect
PyPI	idna	`3.20`	indirect
PyPI	ijson	`3.5.1`	indirect
PyPI	imagesize	`2.0.1`	indirect
PyPI	iniconfig	`2.3.1`	indirect
PyPI	ipython	`9.17.1`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	isodate	`0.7.2`	indirect
PyPI	jedi	`0.20.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jmespath	`1.1.0`	indirect
PyPI	jsonlines	`4.0.0`	indirect
PyPI	jsonpointer	`3.2.0`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	jupyter-client	`8.10.0`	indirect
PyPI	jupyter-core	`5.9.1`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	kaleido	`0.2.1`	indirect
PyPI	kiwisolver	`1.5.1`	indirect
PyPI	librt	`0.16.0`	indirect
PyPI	linear-tsv	`1.1.0`	indirect
PyPI	litestar	`2.24.0`	indirect
PyPI	litestar-htmx	`0.5.0`	indirect
PyPI	mako	`1.4.3`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	markupsafe	`3.0.4`	indirect
PyPI	matplotlib-inline	`0.2.2`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mistune	`3.3.4`	indirect
PyPI	msgspec	`0.22.0`	indirect
PyPI	multidict	`7.1.0`	indirect
PyPI	multipart	`2.0.1`	indirect
PyPI	mypy	`2.4.0`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	narwhals	`2.27.1`	indirect
PyPI	nbclient	`0.11.0`	indirect
PyPI	nbconvert	`7.17.1`	indirect
PyPI	nbformat	`5.11.1`	indirect
PyPI	nbsphinx	`0.9.8`	indirect
PyPI	nest-asyncio2	`1.7.4`	indirect
PyPI	numpydoc	`1.11.0`	indirect
PyPI	pandas-stubs	`3.0.5.260914`	indirect
PyPI	pandera	`0.34.1`	indirect
PyPI	pandocfilters	`1.5.1`	indirect
PyPI	parso	`0.8.7`	indirect
PyPI	pathspec	`1.1.1`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`12.3.0`	indirect
PyPI	platformdirs	`4.12.4`	indirect
PyPI	plotly	`7.1.0`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	polars	`1.44.2`	indirect
PyPI	polars-runtime-32	`1.44.2`	indirect
PyPI	polyfactory	`3.3.0`	indirect
PyPI	pooch	`1.9.0`	indirect
PyPI	prompt-toolkit	`3.0.53`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	psycopg	`3.3.6`	indirect
PyPI	psycopg-binary	`3.3.6`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.4`	indirect
PyPI	pyarrow	`26.0.0`	indirect
PyPI	pycparser	`3.11`	indirect
PyPI	pydantic	`2.14.0`	indirect
PyPI	pydantic-core	`2.50.0`	indirect
PyPI	pydantic-settings	`2.15.0`	indirect
PyPI	pygments	`2.21.0`	indirect
PyPI	pyjwt	`2.15.1`	indirect
PyPI	pypandoc	`1.17`	indirect
PyPI	pyparsing	`3.3.3`	indirect
PyPI	pytest	`9.1.1`	indirect
PyPI	pytest-cov	`7.1.0`	indirect
PyPI	pytest-mpl	`0.19.0`	indirect
PyPI	python-calamine	`0.8.3`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-dotenv	`1.2.4`	indirect
PyPI	pytz	`2026.5`	indirect
PyPI	pyzmq	`27.2.0`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	regex	`2026.9.29`	indirect
PyPI	rfc3986	`2.0.0`	indirect
PyPI	rich	`14.3.4`	indirect
PyPI	rich-click	`1.9.9`	indirect
PyPI	roman-numerals	`4.1.0`	indirect
PyPI	rpds-py	`2026.9.1`	indirect
PyPI	ruff	`0.17.0`	indirect
PyPI	s3transfer	`0.19.2`	indirect
PyPI	scse-toolkit	`2.0.0`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	shelved-cache	`0.3.1`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	sniffio	`1.3.1`	indirect
PyPI	snowballstemmer	`3.1.1`	indirect
PyPI	soupsieve	`2.10`	indirect
PyPI	sphinx	`9.0.4`	indirect
PyPI	sphinx-gallery	`0.22.1`	indirect
PyPI	sphinxcontrib-applehelp	`2.0.0`	indirect
PyPI	sphinxcontrib-devhelp	`2.0.0`	indirect
PyPI	sphinxcontrib-htmlhelp	`2.1.0`	indirect
PyPI	sphinxcontrib-jsmath	`1.0.1`	indirect
PyPI	sphinxcontrib-qthelp	`2.0.0`	indirect
PyPI	sphinxcontrib-serializinghtml	`2.0.0`	indirect
PyPI	sqlalchemy	`2.0.54`	indirect
PyPI	sqlalchemy-utils	`0.43.0`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	tableschema	`1.21.0`	indirect
PyPI	tabulate	`0.10.0`	indirect
PyPI	tinycss2	`1.5.1`	indirect
PyPI	toml	`0.10.2`	indirect
PyPI	tornado	`6.5.10`	indirect
PyPI	traitlets	`5.16.1`	indirect
PyPI	treelib	`1.8.0`	indirect
PyPI	typeguard	`4.6.0`	indirect
PyPI	typer	`0.27.3`	indirect
PyPI	typing-extensions	`4.16.0`	indirect
PyPI	typing-inspect	`0.9.0`	indirect
PyPI	typing-inspection	`0.4.4`	indirect
PyPI	tzdata	`2026.5`	indirect
PyPI	tzlocal	`5.4.4`	indirect
PyPI	unfccc-di-api	`4.0.4`	indirect
PyPI	unicodecsv	`0.14.1`	indirect
PyPI	urllib3	`2.8.0`	indirect
PyPI	wbdata	`1.1.0`	indirect
PyPI	wcwidth	`0.9.2`	indirect
PyPI	webencodings	`0.6.1`	indirect
PyPI	xarray	`2026.9.0`	indirect
PyPI	xlrd	`2.0.2`	indirect

Dependency advisories 0

Installing pypi:pyam-iamc@4.0.0 pulls in 109 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.

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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.

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