Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-18 12:23 UTC

newton-physics / newton

An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.

PythonApache-2.0★ 5,650 stars⑂ 687 forkssince Apr 2025View on GitHub ↗

KindLibraryhow this is determined

#physics-simulation #robotics #nvidia-warp #newton-physics

newton-physics/newton holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Vitality (96/100) and lowest on Security (61/100). It was last updated 1 day ago. 3 contributors account for most of its recent work.

overall / 100

Exceptional

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 84 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

Newton PhysicsOrganization

529 followers9 public repossince Apr 2025

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	newton	1.6.0	219,238	34	7 days ago

Metrics by category

Vitality

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

96Exceptional · 21% of overall

Development activity

100Exceptional

How it's scored

36/36	Push recency — last push 1 days ago
36/36	Commit cadence — 52/52 weeks with commits
18/18	Commit volume — 1,742 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	1,742
human_commit_share	1
days_since_last_push	1
active_weeks_last_year	52

Release discipline

90Excellent

How it's scored

27/27	Ships releases — 10 releases published
36/36	Release recency — latest release 7 days ago
27/27	Release cadence — a release every ~16.7 days
0/10	OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.

Inputs used

releases_count	10
latest_release_tag	v1.6.0
releases_from_tags	no
days_since_latest_release	7
mean_days_between_releases	16.7

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

92Excellent · 17% of overall

Popularity & adoption

92Excellent

How it's scored

60/60	Stars — 5,650 stars
23.6/25	Forks — 687 forks
8.9/15	Watchers — 41 watchers

Inputs used

forks	687
stars	5,650
watchers	41
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

92Excellent

How it's scored

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

Inputs used

has_readme	yes
has_license	yes
readme_badges	4
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	yes

Sustainability & Governance

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

77Good · 23% of overall

Maintainer resilience (bus factor)

77Good

How it's scored

36/54	Bus factor — 3 contributor(s) cover half of all commits
17.5/22.5	Commit distribution — top contributor authored 22% of commits
13.5/13.5	Contributor breadth — 99 contributors
10/10	OpenSSF Scorecard: Contributors — project has 25 contributing companies or organizations

Inputs used

bus_factor	3
contributors_sampled	99
top_contributor_share	0.224

Issue & PR responsiveness

75Good

How it's scored

34/42	Issue resolution — 81% of issues closed
26.2/30	PR acceptance — 2,091/2,390 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	2,091
open_issues	310
closed_issues	1,313
prs_merged_7d	14
prs_decided_7d	17
prs_merged_30d	37
prs_decided_30d	43
issue_closed_ratio	0.809
closed_unmerged_prs	299
first_time_authors_30d	1
first_time_prs_merged_30d	0
first_time_prs_decided_30d	1

Ownership & stewardship

60Moderate

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
19.6/25	Owner reach — 529 followers of newton-physics
10.2/25	Track record — 9 public repos, account ~1 yr old

Inputs used

followers	529
owner_type	Organization
is_verified	no
owner_login	newton-physics
public_repos	9
account_age_days	526

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 7 days ago
20/20	Version history — 34 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	newton
ecosystems	pypi
any_deprecated	no
min_days_since_publish	7

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional

How it's scored

24/24	CI workflows — 18 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 — 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	yes

Documentation

90Excellent

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://newton-physics.github.io/newton/stable/
10/10	Repository description
10/10	Topics — 4 topics
0/10	Wiki

Inputs used

topics	physics-simulation, robotics, nvidia-warp, newton-physics
has_wiki	no
homepage	https://newton-physics.github.io/newton/stable/
docs_site	https://newton-physics.github.io/newton/stable/
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?

61Moderate · 16% of overall

Security posture

51Moderate

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
3.8/7.5	Branch-Protection — branch protection is not maximal on development and all release branches
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
7.5/7.5	Code-Review — all changesets reviewed
2.5/2.5	Contributors — project has 25 contributing companies or organizations
0/10	Dangerous-Workflow — 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 18 issue activity found in the last 90 days -- score normalized to 10
5/5	Packaging — packaging workflow detected
5/5	Pinned-Dependencies — all dependencies are pinned
0/5	SAST — SAST tool is not run on all commits -- score normalized to 0
5/5	Security-Policy — security policy file detected
0/7.5	Signed-Releases — Project has not signed or included provenance with any releases.
3/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
1.5/7.5	Vulnerabilities — 8 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	18
scorecard_version	v5.5.0
checks_inconclusive	0
scorecard_aggregate	5.1

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	2
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:newton@1.6.0 runtime dependency closure — what installing the published package pulls in — 2 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.

89Excellent · 4% of overall

Agent context & guidance

85Excellent

How it's scored

45/45	Agent instructions — AGENTS.md, CLAUDE.md
0/15	Machine-readable docs (llms.txt)
40/40	Legible commit history — 94 of 100 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.94
agent_instruction_files	AGENTS.md, CLAUDE.md
agent_instruction_max_bytes	2,249

Verify loop (build / test / typecheck)

92Excellent

How it's scored

18/18	One-command bootstrap — docs/Makefile
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
11/11	Static type checking — newton/py.typed
10/10	Reproducible environment — lockfile
10/10	Demonstrated agent practice — 8 of the last 100 commits agent-authored or agent-credited
0/8	Automated maintenance — no automated dependency updates observed
10/10	OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned

Inputs used

has_nix	no
has_tests	yes
lockfiles	uv.lock
has_dockerfile	no
typed_language	no
bootstrap_files	docs/Makefile
has_devcontainer	no
has_linter_config	yes
typecheck_configs	newton/py.typed
agent_commit_share	0.08
toolchain_manifests	—
dependency_bot_commit_share	0

Code legibility for models

75Good

How it's scored

27/45	Type-checkable code — Python with type-check config (newton/py.typed)
48.4/55	Manageable file sizes — 96/798 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	735,326
source_files_sampled	798
oversized_source_files	96

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

5,650GitHub stars

99contributors

1,742commits, last 12 months

1days since last push

10releases

3bus factor

310open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
First-time contributor figures cover 12 of 18 authors (cap 12)

More detail

Star and fork history 0 ★ / 687 ⇿

0Stars

687Forks

10Releases

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 1Minor 6Patch 3

Each point covers 2 days.

OpenSSF Scorecard 5.1 / 10

5.1aggregate

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 · 2026-09-18 12:22 UTC

10	Binary-Artifacts	no binaries found in the repo
5	Branch-Protection	branch protection is not maximal on development and all release branches
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
10	Code-Review	all changesets reviewed
10	Contributors	project has 25 contributing companies or organizations
0	Dangerous-Workflow	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 18 issue activity found in the last 90 days -- score normalized to 10
10	Packaging	packaging workflow detected
10	Pinned-Dependencies	all dependencies are pinned
0	SAST	SAST tool is not run on all commits -- score normalized to 0
10	Security-Policy	security policy file detected
0	Signed-Releases	Project has not signed or included provenance with any releases.
4	Token-Permissions	detected GitHub workflow tokens with excessive permissions
2	Vulnerabilities	8 existing vulnerabilities detected

Direct dependencies 1

Registry	Package	Version constraint	Manifest
PyPI	warp-lang	`>=1.17.0`	pyproject.toml

All dependencies 293

Full resolved dependency set from the GitHub dependency graph: 1 direct and 292 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	warp-lang	`1.17.0`	direct
PyPI	absl-py	`2.4.0`	indirect
PyPI	accessible-pygments	`0.0.5`	indirect
PyPI	addict	`2.4.0`	indirect
PyPI	aiohappyeyeballs	`2.6.2`	indirect
PyPI	aiohttp	`3.14.3`	indirect
PyPI	aiosignal	`1.4.0`	indirect
PyPI	alabaster	`1.0.0`	indirect
PyPI	alphashape	`1.3.1`	indirect
PyPI	anyio	`4.13.0`	indirect
PyPI	anywidget	`0.11.0`	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	asttokens	`3.0.1`	indirect
PyPI	asv	`0.6.5`	indirect
PyPI	asv-runner	`0.2.1`	indirect
PyPI	async-lru	`2.3.0`	indirect
PyPI	async-timeout	`5.0.1`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	beautifulsoup4	`4.15.0`	indirect
PyPI	bleach	`6.4.0`	indirect
PyPI	blinker	`1.9.0`	indirect
PyPI	build	`1.5.0`	indirect
PyPI	cbor2	`6.1.2`	indirect
PyPI	certifi	`2026.5.20`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	charset-normalizer	`3.4.7`	indirect
PyPI	click	`8.4.1`	indirect
PyPI	click-log	`0.4.0`	indirect
PyPI	coacd	`1.0.11`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	colorlog	`6.10.1`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	configargparse	`1.7.5`	indirect
PyPI	contourpy	`1.3.2`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	coverage	`7.14.1`	indirect
PyPI	cuda-bindings	`12.9.7`	indirect
PyPI	cuda-bindings	`13.3.1`	indirect
PyPI	cuda-pathfinder	`1.5.5`	indirect
PyPI	cuda-toolkit	`12.8.1`	indirect
PyPI	cuda-toolkit	`13.0.3.0`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	dash	`4.2.0`	indirect
PyPI	debugpy	`1.8.21`	indirect
PyPI	decorator	`5.3.1`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	distlib	`0.4.3`	indirect
PyPI	docutils	`0.21.2`	indirect
PyPI	embreex	`4.4.0`	indirect
PyPI	etils	`1.13.0`	indirect
PyPI	etils	`1.14.0`	indirect
PyPI	exceptiongroup	`1.3.1`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	fast-simplification	`0.1.13`	indirect
PyPI	fastjsonschema	`2.21.2`	indirect
PyPI	filelock	`3.29.3`	indirect
PyPI	flask	`3.1.3`	indirect
PyPI	fonttools	`4.63.0`	indirect
PyPI	fqdn	`1.5.1`	indirect
PyPI	frozenlist	`1.8.0`	indirect
PyPI	fsspec	`2026.4.0`	indirect
PyPI	gitdb	`4.0.12`	indirect
PyPI	gitpython	`3.1.59`	indirect
PyPI	glfw	`2.10.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	idna	`3.18`	indirect
PyPI	imageio	`2.37.3`	indirect
PyPI	imagesize	`2.0.0`	indirect
PyPI	imgui-bundle	`1.92.801`	indirect
PyPI	importlib-metadata	`9.0.0`	indirect
PyPI	importlib-resources	`7.1.0`	indirect
PyPI	ipykernel	`6.31.0`	indirect
PyPI	ipython	`8.39.0`	indirect
PyPI	ipython	`9.14.1`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	ipywidgets	`8.1.8`	indirect
PyPI	isoduration	`20.11.0`	indirect
PyPI	itsdangerous	`2.2.0`	indirect
PyPI	janus	`2.0.0`	indirect
PyPI	jedi	`0.20.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	joblib	`1.5.3`	indirect
PyPI	json5	`0.14.0`	indirect
PyPI	jsonpointer	`3.1.1`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	jupyter-builder	`1.0.2`	indirect
PyPI	jupyter-client	`8.9.1`	indirect
PyPI	jupyter-core	`5.9.1`	indirect
PyPI	jupyter-events	`0.12.1`	indirect
PyPI	jupyter-lsp	`2.3.1`	indirect
PyPI	jupyter-server	`2.20.0`	indirect
PyPI	jupyter-server-proxy	`4.5.0`	indirect
PyPI	jupyter-server-terminals	`0.5.4`	indirect
PyPI	jupyter-ui-poll	`1.1.0`	indirect
PyPI	jupyterlab	`4.6.2`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	jupyterlab-server	`2.28.0`	indirect
PyPI	jupyterlab-widgets	`3.0.16`	indirect
PyPI	kiwisolver	`1.5.0`	indirect
PyPI	lark	`1.3.1`	indirect
PyPI	lxml	`6.1.1`	indirect
PyPI	manifold3d	`3.5.1`	indirect
PyPI	mapbox-earcut	`2.0.0`	indirect
PyPI	markdown-it-py	`3.0.0`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib	`3.10.9`	indirect
PyPI	matplotlib	`3.11.0`	indirect
PyPI	matplotlib-inline	`0.2.2`	indirect
PyPI	mdit-py-plugins	`0.6.1`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	meshio	`5.3.5`	indirect
PyPI	mistune	`3.3.3`	indirect
PyPI	ml-dtypes	`0.5.4`	indirect
PyPI	mpmath	`1.3.0`	indirect
PyPI	msgspec	`0.21.1`	indirect
PyPI	mujoco	`3.12.0`	indirect
PyPI	mujoco-warp	`3.12.0`	indirect
PyPI	multidict	`6.7.1`	indirect
PyPI	myst-parser	`4.0.1`	indirect
PyPI	myst-parser	`5.1.0`	indirect
PyPI	narwhals	`2.22.1`	indirect
PyPI	nbclient	`0.11.0`	indirect
PyPI	nbconvert	`7.17.1`	indirect
PyPI	nbformat	`5.10.4`	indirect
PyPI	nbsphinx	`0.9.8`	indirect
PyPI	nest-asyncio	`1.6.0`	indirect
PyPI	networkx	`3.4.2`	indirect
PyPI	networkx	`3.6.1`	indirect
PyPI	newton	`1.7.0.dev0`	indirect
PyPI	newton-usd-schemas	`0.5.0`	indirect
PyPI	notebook-shim	`0.2.4`	indirect
PyPI	numpy	`2.2.6`	indirect
PyPI	numpy	`2.4.6`	indirect
PyPI	numpy	`2.5.0`	indirect
PyPI	nvidia-cublas	`13.1.1.3`	indirect
PyPI	nvidia-cublas-cu12	`12.8.4.1`	indirect
PyPI	nvidia-cuda-cupti	`13.0.85`	indirect
PyPI	nvidia-cuda-cupti-cu12	`12.8.90`	indirect
PyPI	nvidia-cuda-nvrtc	`13.0.88`	indirect
PyPI	nvidia-cuda-nvrtc-cu12	`12.8.93`	indirect
PyPI	nvidia-cuda-runtime	`13.0.96`	indirect
PyPI	nvidia-cuda-runtime-cu12	`12.8.90`	indirect
PyPI	nvidia-cudnn-cu12	`9.19.0.56`	indirect
PyPI	nvidia-cudnn-cu13	`9.20.0.48`	indirect
PyPI	nvidia-cufft	`12.0.0.61`	indirect
PyPI	nvidia-cufft-cu12	`11.3.3.83`	indirect
PyPI	nvidia-cufile	`1.15.1.6`	indirect
PyPI	nvidia-cufile-cu12	`1.13.1.3`	indirect
PyPI	nvidia-curand	`10.4.0.35`	indirect
PyPI	nvidia-curand-cu12	`10.3.9.90`	indirect
PyPI	nvidia-cusolver	`12.0.4.66`	indirect
PyPI	nvidia-cusolver-cu12	`11.7.3.90`	indirect
PyPI	nvidia-cusparse	`12.6.3.3`	indirect
PyPI	nvidia-cusparse-cu12	`12.5.8.93`	indirect
PyPI	nvidia-cusparselt-cu12	`0.7.1`	indirect
PyPI	nvidia-cusparselt-cu13	`0.8.1`	indirect
PyPI	nvidia-nccl-cu12	`2.28.9`	indirect
PyPI	nvidia-nccl-cu13	`2.29.7`	indirect
PyPI	nvidia-nvjitlink	`13.0.88`	indirect
PyPI	nvidia-nvjitlink-cu12	`12.8.93`	indirect
PyPI	nvidia-nvshmem-cu12	`3.4.5`	indirect
PyPI	nvidia-nvshmem-cu13	`3.4.5`	indirect
PyPI	nvidia-nvtx	`13.0.85`	indirect
PyPI	nvidia-nvtx-cu12	`12.8.90`	indirect
PyPI	onnx	`1.22.0`	indirect
PyPI	open3d	`0.19.0`	indirect
PyPI	overrides	`7.7.0`	indirect
PyPI	ovrtx	`0.3.0.312915`	indirect
PyPI	packaging	`26.2`	indirect
PyPI	pandas	`2.3.3`	indirect
PyPI	pandas	`3.0.3`	indirect
PyPI	pandocfilters	`1.5.1`	indirect
PyPI	parso	`0.8.7`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`12.3.0`	indirect
PyPI	platformdirs	`4.10.0`	indirect
PyPI	plotly	`6.8.0`	indirect
PyPI	prometheus-client	`0.25.0`	indirect
PyPI	prompt-toolkit	`3.0.52`	indirect
PyPI	propcache	`0.5.2`	indirect
PyPI	protobuf	`7.35.1`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	psygnal	`0.15.1`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	pyarrow	`24.0.0`	indirect
PyPI	pycollada	`0.9.3`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydata-sphinx-theme	`0.18.0`	indirect
PyPI	pyfqmr	`0.5.0`	indirect
PyPI	pyglet	`2.1.14`	indirect
PyPI	pygments	`2.20.0`	indirect
PyPI	pympler	`1.1`	indirect
PyPI	pyopengl	`3.1.10`	indirect
PyPI	pypandoc	`1.17`	indirect
PyPI	pypandoc-binary	`1.17`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pyproject-hooks	`1.2.0`	indirect
PyPI	pyquaternion	`0.9.9`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-discovery	`1.4.2`	indirect
PyPI	python-json-logger	`4.1.0`	indirect
PyPI	pytz	`2026.2`	indirect
PyPI	pywin32	`312`	indirect
PyPI	pywinpty	`3.0.5`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyzmq	`27.1.0`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	requests	`2.34.2`	indirect
PyPI	rerun-notebook	`0.33.0`	indirect
PyPI	rerun-sdk	`0.33.0`	indirect
PyPI	resolve-robotics-uri-py	`0.4.1`	indirect
PyPI	retrying	`1.4.2`	indirect
PyPI	rfc3339-validator	`0.1.4`	indirect
PyPI	rfc3986-validator	`0.1.1`	indirect
PyPI	rfc3987-syntax	`1.1.0`	indirect
PyPI	rich	`14.3.4`	indirect
PyPI	roman-numerals	`4.1.0`	indirect
PyPI	roman-numerals-py	`4.1.0`	indirect
PyPI	rpds-py	`0.30.0`	indirect
PyPI	rpds-py	`2026.5.1`	indirect
PyPI	rtree	`1.4.1`	indirect
PyPI	scikit-learn	`1.7.2`	indirect
PyPI	scikit-learn	`1.9.0`	indirect
PyPI	scipy	`1.15.3`	indirect
PyPI	scipy	`1.17.1`	indirect
PyPI	send2trash	`2.1.0`	indirect
PyPI	setuptools	`81.0.0`	indirect
PyPI	setuptools	`83.0.0`	indirect
PyPI	shapely	`2.1.2`	indirect
PyPI	simpervisor	`1.0.0`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	smmap	`5.0.3`	indirect
PyPI	snowballstemmer	`3.1.1`	indirect
PyPI	soupsieve	`2.8.4`	indirect
PyPI	sphinx	`8.1.3`	indirect
PyPI	sphinx	`8.2.3`	indirect
PyPI	sphinx-copybutton	`0.5.2`	indirect
PyPI	sphinx-design	`0.6.1`	indirect
PyPI	sphinx-tabs	`3.5.0`	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-mermaid	`2.0.2`	indirect
PyPI	sphinxcontrib-qthelp	`2.0.0`	indirect
PyPI	sphinxcontrib-serializinghtml	`2.0.0`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	svg-path	`7.0`	indirect
PyPI	sympy	`1.14.0`	indirect
PyPI	tabulate	`0.10.0`	indirect
PyPI	terminado	`0.18.1`	indirect
PyPI	threadpoolctl	`3.6.0`	indirect
PyPI	tinycss2	`1.5.1`	indirect
PyPI	tomli	`2.4.1`	indirect
PyPI	torch	`2.11.0+cu128`	indirect
PyPI	torch	`2.13.0+cu130`	indirect
PyPI	tornado	`6.5.8`	indirect
PyPI	tqdm	`4.68.2`	indirect
PyPI	traitlets	`5.15.1`	indirect
PyPI	trimesh	`4.12.2`	indirect
PyPI	triton	`3.6.0`	indirect
PyPI	triton	`3.7.1`	indirect
PyPI	typing-extensions	`4.15.0`	indirect
PyPI	tzdata	`2026.2`	indirect
PyPI	uri-template	`1.3.0`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	usd-core	`26.8`	indirect
PyPI	usd-exchange	`3.0.0`	indirect
PyPI	vhacdx	`0.0.10`	indirect
PyPI	virtualenv	`21.4.3`	indirect
PyPI	viser	`1.0.26`	indirect
PyPI	warp-nn	`0.3.1`	indirect
PyPI	wcwidth	`0.8.1`	indirect
PyPI	webcolors	`25.10.0`	indirect
PyPI	webencodings	`0.5.1`	indirect
PyPI	websocket-client	`1.9.0`	indirect
PyPI	websockets	`16.0`	indirect
PyPI	werkzeug	`3.1.8`	indirect
PyPI	widgetsnbextension	`4.0.15`	indirect
PyPI	xxhash	`3.7.0`	indirect
PyPI	yarl	`1.24.2`	indirect
PyPI	yourdfpy	`0.0.60`	indirect
PyPI	zipp	`4.1.0`	indirect
PyPI	zstandard	`0.25.0`	indirect

Dependency advisories 0

Installing pypi:newton@1.6.0 pulls in 2 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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