Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-13 20:35 UTC

alan-turing-institute / autoemulate

Emulate simulations easily

Python · Jupyter NotebookMIT★ 120 stars⑂ 44 forkssince Aug 2023View on GitHub ↗

#hut23 #hut23-1468 #emulation #pytorch #active-learning #calibration #gaussian-processes #mcmc #sensitivity-analysis #uncertainty-quantification #ensemble #history-matching #neural-networks #aiphys

alan-turing-institute/autoemulate holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Security (48/100). It was last updated today. 2 contributors account 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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

The Alan Turing InstituteOrganization

1,015 followers669 public repossince Apr 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	autoemulate	2.1.2	1,806	18	69 days ago

Metrics by category

Vitality

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

93Exceptional · 21% of overall

Development activity

88Excellent

How it's scored

36/36	Push recency — last push 0 days ago
23.5/36	Commit cadence — 34/52 weeks with commits
18/18	Commit volume — 645 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	645
human_commit_share	0.86
days_since_last_push	0
active_weeks_last_year	34

Release discipline

100Exceptional

How it's scored

27/27	Ships releases — 17 releases published
36/36	Release recency — latest release 68 days ago
27/27	Release cadence — a release every ~41.9 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	17
latest_release_tag	v2.1.2
releases_from_tags	no
days_since_latest_release	68
mean_days_between_releases	41.9

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?

64Moderate · 17% of overall

Popularity & adoption

51Moderate

How it's scored

33.7/60	Stars — 120 stars
13.6/25	Forks — 44 forks
3.3/15	Watchers — 5 watchers

Inputs used

forks	44
stars	120
watchers	5
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

85Excellent

How it's scored

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

Inputs used

has_readme	yes
has_license	yes
readme_badges	6
has_contributing	yes
has_issue_template	no
has_code_of_conduct	yes
readme_badge_services	codecov.io, github.com, shields.io
has_pull_request_template	no

Ecosystem adoption (downloads)

54Moderate

How it's scored

43.4/80	Monthly downloads — 1,806 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	autoemulate
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	1,806
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?

79Good · 23% of overall

Maintainer resilience (bus factor)

65Good

How it's scored

25.2/54	Bus factor — 2 contributor(s) cover half of all commits
16/22.5	Commit distribution — top contributor authored 29% of commits
13.5/13.5	Contributor breadth — 25 contributors
10/10	OpenSSF Scorecard: Contributors — project has 27 contributing companies or organizations

Inputs used

bus_factor	2
contributors_sampled	25
top_contributor_share	0.29

Issue & PR responsiveness

80Excellent

How it's scored

36.9/42	Issue resolution — 88% of issues closed
27.6/30	PR acceptance — 461/501 decided PRs merged
0/13	Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
15/15	OpenSSF Scorecard: Code-Review — all changesets reviewed

Inputs used

merged_prs	461
open_issues	63
closed_issues	454
prs_merged_7d	1
prs_decided_7d	1
prs_merged_30d	4
prs_decided_30d	5
issue_closed_ratio	0.878
closed_unmerged_prs	40
first_time_authors_30d	1
first_time_prs_merged_30d	0
first_time_prs_decided_30d	1

Ownership & stewardship

77Good

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
21.6/25	Owner reach — 1,015 followers of alan-turing-institute
25/25	Track record — 669 public repos, account ~10 yr old

Inputs used

followers	1,015
owner_type	Organization
is_verified	no
owner_login	alan-turing-institute
public_repos	669
account_age_days	3,812

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 69 days ago
20/20	Version history — 18 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	autoemulate
ecosystems	pypi
any_deprecated	no
min_days_since_publish	69

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional

How it's scored

24/24	CI workflows — 5 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff])
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 9 out of 9 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	yes

Documentation

100Exceptional

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://alan-turing-institute.github.io/autoemulate/
10/10	Repository description
10/10	Topics — 14 topics
10/10	Wiki

Inputs used

topics	hut23, hut23-1468, emulation, pytorch, active-learning, calibration, gaussian-processes, mcmc, sensitivity-analysis, uncertainty-quantification, ensemble, history-matching, neural-networks, aiphys
has_wiki	yes
homepage	—
docs_site	https://alan-turing-institute.github.io/autoemulate/
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?

48Weak · 16% of overall

Security posture

47Weak

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 — 9 out of 9 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
7.5/7.5	Code-Review — all changesets reviewed
2.5/2.5	Contributors — project has 27 contributing companies or organizations
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5	Dependency-Update-Tool — no update tool detected
0/5	Fuzzing — project is not fuzzed
2.5/2.5	License — license file detected
7.5/7.5	Maintained — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
0/5	Packaging — no data
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
0/7.5	Vulnerabilities — 125 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	15
scorecard_version	v5.5.0
checks_inconclusive	3
scorecard_aggregate	4.7

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

Dependency advisories

53Moderate

How it's scored

20.2/35	Direct dependencies free of known advisories — 1 affected: torch 2.12.1 (moderate 5.3)
6.3/25	Indirect dependencies free of known advisories — 2 affected: setuptools 68.0.0 (high 8.8), wheel 0.41.0 (high 7.1)
26.1/40	No advisories left outstanding — 3 advisory-carrying package(s) unaddressed past 90 days; oldest published 790 days ago

Inputs used

source	osv
advisories	9
affected_packages	3
assessed_packages	194
unassessed_packages	0
affected_by_severity	high 2, moderate 1
direct_affected_packages	1

Matched the pypi:autoemulate@2.1.2 runtime dependency closure — what installing the published package pulls in — 194 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.

61Moderate · 4% of overall

Agent context & guidance

66Good

How it's scored

45/45	Agent instructions — AGENTS.md
0/15	Machine-readable docs (llms.txt)
21.1/40	Legible commit history — 34 of 86 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.395
agent_instruction_files	AGENTS.md
agent_instruction_max_bytes	4,030

Verify loop (build / test / typecheck)

45Weak

How it's scored

0/18	One-command bootstrap
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
0/11	Static type checking
10/10	Reproducible environment — lockfile
2/10	Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
0/8	Automated maintenance — no automated dependency updates observed
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	uv.lock
has_dockerfile	no
typed_language	no
bootstrap_files	—
has_devcontainer	no
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0.01
toolchain_manifests	—
dependency_bot_commit_share	0

Code legibility for models

55Moderate

How it's scored

0/45	Type-checkable code — Python without a type-check config
55/55	Manageable file sizes — 0/113 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	50,214
source_files_sampled	113
oversized_source_files	0

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 — notebooks

Inputs used

example_dirs	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

120GitHub stars

25contributors

645commits, last 12 months

0days since last push

17releases

2bus factor

63open 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 ★ / 44 ⇿

0Stars

44Forks

17Releases

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 2Minor 6Patch 8

Each point covers 3 days.

OpenSSF Scorecard 4.7 / 10

4.7aggregate

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 20:34 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	9 out of 9 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
10	Code-Review	all changesets reviewed
10	Contributors	project has 27 contributing companies or organizations
10	Dangerous-Workflow	no dangerous workflow patterns detected
0	Dependency-Update-Tool	no update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
10	Maintained	30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
n/a	Packaging	packaging workflow not 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
0	Vulnerabilities	125 existing vulnerabilities detected

Direct dependencies 22

Registry	Package	Version constraint	Manifest
PyPI	matplotlib	`>=3.7.2`	pyproject.toml
PyPI	seaborn	`>=0.12.2`	pyproject.toml
PyPI	scikit-learn	`>=1.3.0`	pyproject.toml
PyPI	pandas	`>=2.1`	pyproject.toml
PyPI	torch	`>=2.1.0`	pyproject.toml
PyPI	scipy	`>=1.11.3`	pyproject.toml
PyPI	numpy	`>=1.24`	pyproject.toml
PyPI	joblib	`>=1.3.2`	pyproject.toml
PyPI	tqdm	`>=4.66.2`	pyproject.toml
PyPI	lightgbm	`>=4.3.0`	pyproject.toml
PyPI	ipywidgets	`>=8.1.2`	pyproject.toml
PyPI	gpytorch	`>=1.12`	pyproject.toml
PyPI	salib	`>=1.5.1`	pyproject.toml
PyPI	torcheval	`>=0.0.7`	pyproject.toml
PyPI	anytree	`>=2.12.1`	pyproject.toml
PyPI	torchmetrics	`>=1.7.1`	pyproject.toml
PyPI	pyro-ppl	`>=1.9.1`	pyproject.toml
PyPI	torchrbf	`>=0.0.1`	pyproject.toml
PyPI	arviz	`>=0.21.0,<1.0`	pyproject.toml
PyPI	getdist	`>=1.7.2`	pyproject.toml
PyPI	einops	`>=0.8.1`	pyproject.toml
PyPI	harmonic	`>=1.3.0`	pyproject.toml

All dependencies 320

Full resolved dependency set from the GitHub dependency graph: 28 direct and 292 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	anytree	`2.13.0`	direct
PyPI	arviz	`0.22.0`	direct
PyPI	einops	`0.8.1`	direct
PyPI	getdist	`1.7.2`	direct
PyPI	gpytorch	`1.14`	direct
PyPI	harmonic	`—`	direct
PyPI	harmonic	`1.3.0`	direct
PyPI	harmonic	`1.3.1`	direct
PyPI	ipywidgets	`8.1.7`	direct
PyPI	joblib	`1.5.1`	direct
PyPI	lightgbm	`4.6.0`	direct
PyPI	matplotlib	`3.10.5`	direct
PyPI	numpy	`1.26.4`	direct
PyPI	numpy	`2.3.2`	direct
PyPI	pandas	`2.3.1`	direct
PyPI	pyro-ppl	`1.9.1`	direct
PyPI	salib	`1.5.1`	direct
PyPI	scikit-learn	`1.7.2`	direct
PyPI	scikit-learn	`1.8.0`	direct
PyPI	scipy	`1.15.3`	direct
PyPI	scipy	`1.16.1`	direct
PyPI	seaborn	`0.13.2`	direct
PyPI	torch	`2.11.0+cu126`	direct
PyPI	torch	`2.7.1`	direct
PyPI	torcheval	`0.0.7`	direct
PyPI	torchmetrics	`1.8.0`	direct
PyPI	torchrbf	`1.0.0`	direct
PyPI	tqdm	`4.67.1`	direct
PyPI	absl-py	`2.4.0`	indirect
PyPI	accessible-pygments	`0.0.5`	indirect
PyPI	aiofiles	`25.1.0`	indirect
PyPI	alabaster	`0.7.16`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	anyio	`4.13.0`	indirect
PyPI	appnope	`0.1.4`	indirect
PyPI	argon2-cffi	`25.1.0`	indirect
PyPI	argon2-cffi-bindings	`25.1.0`	indirect
PyPI	arrow	`1.4.0`	indirect
PyPI	asciitree	`0.3.3`	indirect
PyPI	asttokens	`3.0.0`	indirect
PyPI	async-lru	`2.3.0`	indirect
PyPI	attrs	`25.3.0`	indirect
PyPI	autoemulate	`—`	indirect
PyPI	autoemulate	`1.1`	indirect
PyPI	autoemulate	`2.1.2`	indirect
PyPI	babel	`2.17.0`	indirect
PyPI	beautifulsoup4	`4.13.4`	indirect
PyPI	black	`25.1.0`	indirect
PyPI	bleach	`6.3.0`	indirect
PyPI	certifi	`2025.7.14`	indirect
PyPI	cffi	`1.17.1`	indirect
PyPI	cfgv	`3.4.0`	indirect
PyPI	charset-normalizer	`3.4.2`	indirect
PyPI	chex	`0.1.90`	indirect
PyPI	click	`8.2.1`	indirect
PyPI	cloudpickle	`3.1.2`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	colorlog	`6.10.1`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	configmypy	`0.2.0`	indirect
PyPI	contourpy	`1.3.2`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	coverage	`7.10.1`	indirect
PyPI	crc32c	`2.7.1`	indirect
PyPI	cuda-bindings	`12.9.6`	indirect
PyPI	cuda-pathfinder	`1.5.4`	indirect
PyPI	cuda-toolkit	`12.6.3`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	cython	`3.2.4`	indirect
PyPI	dataclasses-json	`0.6.7`	indirect
PyPI	debugpy	`1.8.15`	indirect
PyPI	decorator	`5.2.1`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	dill	`0.4.0`	indirect
PyPI	distlib	`0.4.0`	indirect
PyPI	distrax	`0.1.5`	indirect
PyPI	distrax	`0.1.7`	indirect
PyPI	dm-tree	`0.1.9`	indirect
PyPI	docutils	`0.21.2`	indirect
PyPI	donfig	`0.8.1.post1`	indirect
PyPI	dynesty	`—`	indirect
PyPI	etils	`1.13.0`	indirect
PyPI	etils	`1.14.0`	indirect
PyPI	exceptiongroup	`1.3.0`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	executing	`2.2.0`	indirect
PyPI	fasteners	`0.20`	indirect
PyPI	fastjsonschema	`2.21.1`	indirect
PyPI	filelock	`3.18.0`	indirect
PyPI	flax	`0.10.7`	indirect
PyPI	flax	`0.12.6`	indirect
PyPI	fonttools	`4.59.0`	indirect
PyPI	fqdn	`1.5.1`	indirect
PyPI	fsspec	`2025.7.0`	indirect
PyPI	furo	`2025.7.19`	indirect
PyPI	gast	`0.7.0`	indirect
PyPI	gitdb	`4.0.12`	indirect
PyPI	gitpython	`3.1.45`	indirect
PyPI	greenlet	`3.2.3`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	h5netcdf	`1.6.3`	indirect
PyPI	h5py	`3.14.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	humanize	`4.15.0`	indirect
PyPI	identify	`2.6.12`	indirect
PyPI	idna	`3.10`	indirect
PyPI	imagesize	`1.4.1`	indirect
PyPI	importlib-metadata	`8.7.0`	indirect
PyPI	importlib-resources	`6.5.2`	indirect
PyPI	iniconfig	`2.1.0`	indirect
PyPI	ipykernel	`6.30.0`	indirect
PyPI	ipython	`8.37.0`	indirect
PyPI	ipython	`9.4.0`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	isoduration	`20.11.0`	indirect
PyPI	jax	`0.6.2`	indirect
PyPI	jax	`0.9.2`	indirect
PyPI	jaxlib	`0.6.2`	indirect
PyPI	jaxlib	`0.9.2`	indirect
PyPI	jaxtyping	`0.3.2`	indirect
PyPI	jedi	`0.19.2`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	json5	`0.13.0`	indirect
PyPI	jsonpointer	`3.1.1`	indirect
PyPI	jsonschema	`4.25.0`	indirect
PyPI	jsonschema-specifications	`2025.4.1`	indirect
PyPI	jupyter	`—`	indirect
PyPI	jupyter	`1.1.1`	indirect
PyPI	jupyter-book	`1.0.4.post1`	indirect
PyPI	jupyter-cache	`1.0.1`	indirect
PyPI	jupyter-client	`8.6.3`	indirect
PyPI	jupyter-console	`6.6.3`	indirect
PyPI	jupyter-core	`5.8.1`	indirect
PyPI	jupyter-events	`0.12.0`	indirect
PyPI	jupyter-lsp	`2.3.0`	indirect
PyPI	jupyter-server	`2.17.0`	indirect
PyPI	jupyter-server-terminals	`0.5.4`	indirect
PyPI	jupyterlab	`—`	indirect
PyPI	jupyterlab	`4.4.5`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	jupyterlab-server	`2.28.0`	indirect
PyPI	jupyterlab-widgets	`3.0.15`	indirect
PyPI	kiwisolver	`1.4.8`	indirect
PyPI	lark	`1.3.1`	indirect
PyPI	latexcodec	`3.0.1`	indirect
PyPI	lightning-utilities	`0.15.0`	indirect
PyPI	linear-operator	`0.6`	indirect
PyPI	linkify-it-py	`2.0.3`	indirect
PyPI	markdown-it-py	`3.0.0`	indirect
PyPI	markupsafe	`3.0.2`	indirect
PyPI	marshmallow	`3.26.2`	indirect
PyPI	matplotlib-inline	`0.1.7`	indirect
PyPI	mdit-py-plugins	`0.4.2`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mistune	`3.2.0`	indirect
PyPI	mizani	`0.14.2`	indirect
PyPI	ml-dtypes	`0.5.4`	indirect
PyPI	modularcirc	`—`	indirect
PyPI	mpmath	`1.3.0`	indirect
PyPI	msgpack	`1.1.2`	indirect
PyPI	multiprocess	`0.70.18`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	myst-nb	`1.3.0`	indirect
PyPI	myst-parser	`3.0.1`	indirect
PyPI	nbclient	`0.10.2`	indirect
PyPI	nbconvert	`7.17.0`	indirect
PyPI	nbformat	`5.10.4`	indirect
PyPI	nest-asyncio	`1.6.0`	indirect
PyPI	networkx	`3.4.2`	indirect
PyPI	networkx	`3.5`	indirect
PyPI	neuraloperator	`1.0.2`	indirect
PyPI	nodeenv	`1.9.1`	indirect
PyPI	notebook	`7.4.5`	indirect
PyPI	notebook-shim	`0.2.4`	indirect
PyPI	numcodecs	`0.13.1`	indirect
PyPI	numcodecs	`0.16.1`	indirect
PyPI	nvidia-cublas-cu12	`12.6.4.1`	indirect
PyPI	nvidia-cuda-cupti-cu12	`12.6.80`	indirect
PyPI	nvidia-cuda-nvrtc-cu12	`12.6.85`	indirect
PyPI	nvidia-cuda-runtime-cu12	`12.6.77`	indirect
PyPI	nvidia-cudnn-cu12	`9.10.2.21`	indirect
PyPI	nvidia-cufft-cu12	`11.3.0.4`	indirect
PyPI	nvidia-cufile-cu12	`1.11.1.6`	indirect
PyPI	nvidia-curand-cu12	`10.3.7.77`	indirect
PyPI	nvidia-cusolver-cu12	`11.7.1.2`	indirect
PyPI	nvidia-cusparse-cu12	`12.5.4.2`	indirect
PyPI	nvidia-cusparselt-cu12	`0.7.1`	indirect
PyPI	nvidia-nccl-cu12	`2.28.9`	indirect
PyPI	nvidia-nvjitlink-cu12	`12.6.85`	indirect
PyPI	nvidia-nvshmem-cu12	`3.4.5`	indirect
PyPI	nvidia-nvtx-cu12	`12.6.77`	indirect
PyPI	opt-einsum	`3.4.0`	indirect
PyPI	optax	`0.2.8`	indirect
PyPI	orbax-checkpoint	`0.11.33`	indirect
PyPI	orbax-export	`0.0.8`	indirect
PyPI	overrides	`7.7.0`	indirect
PyPI	packaging	`25.0`	indirect
PyPI	pandocfilters	`1.5.1`	indirect
PyPI	parso	`0.8.4`	indirect
PyPI	pathspec	`0.12.1`	indirect
PyPI	patsy	`1.0.1`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`11.3.0`	indirect
PyPI	platformdirs	`4.3.8`	indirect
PyPI	plotnine	`0.15.0`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	pre-commit	`4.2.0`	indirect
PyPI	prometheus-client	`0.24.1`	indirect
PyPI	prompt-toolkit	`3.0.51`	indirect
PyPI	protobuf	`6.31.1`	indirect
PyPI	psutil	`7.0.0`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	pybtex	`0.25.1`	indirect
PyPI	pybtex-docutils	`1.0.3`	indirect
PyPI	pycparser	`2.22`	indirect
PyPI	pydantic	`2.11.7`	indirect
PyPI	pydantic-core	`2.33.2`	indirect
PyPI	pydata-sphinx-theme	`0.15.4`	indirect
PyPI	pygments	`2.19.2`	indirect
PyPI	pyparsing	`3.2.3`	indirect
PyPI	pyright	`1.1.405`	indirect
PyPI	pyro-api	`0.1.2`	indirect
PyPI	pytest	`8.4.1`	indirect
PyPI	pytest-cov	`6.2.1`	indirect
PyPI	pytest-mock	`3.14.1`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-json-logger	`4.0.0`	indirect
PyPI	pytz	`2025.2`	indirect
PyPI	pywin32	`311`	indirect
PyPI	pywinpty	`3.0.3`	indirect
PyPI	pyyaml	`6.0.2`	indirect
PyPI	pyzmq	`27.0.0`	indirect
PyPI	referencing	`0.36.2`	indirect
PyPI	requests	`2.32.4`	indirect
PyPI	rfc3339-validator	`0.1.4`	indirect
PyPI	rfc3986-validator	`0.1.1`	indirect
PyPI	rfc3987-syntax	`1.1.0`	indirect
PyPI	rich	`14.3.3`	indirect
PyPI	rpds-py	`0.26.0`	indirect
PyPI	ruamel-yaml	`0.18.14`	indirect
PyPI	ruamel-yaml-clib	`0.2.12`	indirect
PyPI	ruff	`0.12.11`	indirect
PyPI	send2trash	`2.1.0`	indirect
PyPI	sentry-sdk	`2.34.1`	indirect
PyPI	setuptools	`68.0.0`	indirect
PyPI	setuptools-scm	`9.2.2`	indirect
PyPI	simplejson	`3.20.2`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	smmap	`5.0.2`	indirect
PyPI	snowballstemmer	`3.0.1`	indirect
PyPI	soupsieve	`2.7`	indirect
PyPI	sphinx	`7.4.7`	indirect
PyPI	sphinx-autodoc-typehints	`2.3.0`	indirect
PyPI	sphinx-basic-ng	`1.0.0b2`	indirect
PyPI	sphinx-book-theme	`1.1.4`	indirect
PyPI	sphinx-comments	`0.0.3`	indirect
PyPI	sphinx-copybutton	`0.5.2`	indirect
PyPI	sphinx-design	`0.6.1`	indirect
PyPI	sphinx-external-toc	`1.0.1`	indirect
PyPI	sphinx-jupyterbook-latex	`1.0.0`	indirect
PyPI	sphinx-multitoc-numbering	`0.1.3`	indirect
PyPI	sphinx-thebe	`0.3.1`	indirect
PyPI	sphinx-togglebutton	`0.3.2`	indirect
PyPI	sphinxcontrib-applehelp	`2.0.0`	indirect
PyPI	sphinxcontrib-bibtex	`2.6.5`	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	`2.0.42`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	statsmodels	`0.14.5`	indirect
PyPI	sympy	`1.14.0`	indirect
PyPI	tabulate	`0.9.0`	indirect
PyPI	tensorflow-probability	`0.25.0`	indirect
PyPI	tensorly	`0.9.0`	indirect
PyPI	tensorly-torch	`0.5.0`	indirect
PyPI	tensorstore	`0.1.78`	indirect
PyPI	tensorstore	`0.1.82`	indirect
PyPI	terminado	`0.18.1`	indirect
PyPI	tfp-nightly	`0.26.0.dev20260325`	indirect
PyPI	the-well	`1.1.0`	indirect
PyPI	threadpoolctl	`3.6.0`	indirect
PyPI	tinycss2	`1.4.0`	indirect
PyPI	tomli	`2.2.1`	indirect
PyPI	toolz	`1.1.0`	indirect
PyPI	torch-harmonics	`0.7.3`	indirect
PyPI	tornado	`6.5.1`	indirect
PyPI	traitlets	`5.14.3`	indirect
PyPI	treescope	`0.1.10`	indirect
PyPI	triton	`3.6.0`	indirect
PyPI	typing-extensions	`4.14.1`	indirect
PyPI	typing-inspect	`0.9.0`	indirect
PyPI	typing-inspection	`0.4.1`	indirect
PyPI	tzdata	`2025.2`	indirect
PyPI	uc-micro-py	`1.0.3`	indirect
PyPI	uri-template	`1.3.0`	indirect
PyPI	urllib3	`2.5.0`	indirect
PyPI	uvloop	`0.22.1`	indirect
PyPI	virtualenv	`20.32.0`	indirect
PyPI	wadler-lindig	`0.1.7`	indirect
PyPI	wandb	`0.21.1`	indirect
PyPI	wcwidth	`0.2.13`	indirect
PyPI	webcolors	`25.10.0`	indirect
PyPI	webencodings	`0.5.1`	indirect
PyPI	websocket-client	`1.9.0`	indirect
PyPI	wheel	`0.41.0`	indirect
PyPI	widgetsnbextension	`4.0.14`	indirect
PyPI	wrapt	`2.1.2`	indirect
PyPI	xarray	`2025.6.1`	indirect
PyPI	xarray	`2025.7.1`	indirect
PyPI	xarray-einstats	`0.8.0`	indirect
PyPI	xarray-einstats	`0.9.1`	indirect
PyPI	zarr	`2.18.3`	indirect
PyPI	zarr	`3.1.1`	indirect
PyPI	zipp	`3.23.0`	indirect

Dependency advisories 3

Installing pypi:autoemulate@2.1.2 pulls in 194 packages, direct and transitive: 3 carry known advisories, of which 1 are direct dependencies.

Package	Version	Relation	Severity	Advisories	Fixed in
setuptools	`68.0.0`	indirect	high	6	`83.0.0`
wheel	`0.41.0`	indirect	high	2	`0.46.2`
torch	`2.12.1`	direct	moderate	1	`2.13.0`

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.

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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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