Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-12 20:55 UTC

roboflow / supervision

We write your reusable computer vision tools. 💜

PythonMIT★ 49,335 stars⑂ 4,665 forkssince Nov 2022View on GitHub ↗

#computer-vision #image-processing #python #yolo #instance-segmentation #object-detection #tracking #video-processing #coco #pascal-voc #deep-learning #metrics #machine-learning #pytorch #tensorflow #classification #oriented-bounding-box #low-code #hacktoberfest

roboflow/supervision holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Community & Adoption (97/100) and lowest on Security (46/100). It was last updated today. 2 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 83 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

RoboflowOrganization

5,251 followers170 public repossince Jul 2019

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	Tags
PyPI	supervision	0.30.0	1,358,425	104	8 days ago	ai deep-learning dl machine-learning ml roboflow vision

Metrics by category

Vitality

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

90Excellent · 21% of overall

Development activity

89Excellent

How it's scored

36/36	Push recency — last push 0 days ago
26.3/36	Commit cadence — 38/52 weeks with commits
18/18	Commit volume — 547 commits in the last year
0/10	OpenSSF Scorecard: Maintained — no data

Inputs used

commits_last_year	547
human_commit_share	0.76
days_since_last_push	0
active_weeks_last_year	38

Release discipline

92Excellent

How it's scored

27/27	Ships releases — 40 releases published
36/36	Release recency — latest release 8 days ago
19.8/27	Release cadence — a release every ~70 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	40
latest_release_tag	0.30.0
releases_from_tags	no
days_since_latest_release	8
mean_days_between_releases	70

Community & Adoption

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

97Exceptional · 17% of overall

Popularity & adoption

99Exceptional

How it's scored

60/60	Stars — 49,335 stars
25/25	Forks — 4,665 forks
13.8/15	Watchers — 303 watchers

Inputs used

forks	4,665
stars	49,335
watchers	303
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 (MIT)
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	8
has_contributing	yes
has_issue_template	no
has_code_of_conduct	yes
readme_badge_services	badge.fury.io, codecov.io, shields.io, snyk.io
has_pull_request_template	yes

Ecosystem adoption (downloads)

100Exceptional

How it's scored

80/80	Monthly downloads — 1,358,425 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	supervision
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	1,358,425
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?

84Excellent · 23% of overall

Maintainer resilience (bus factor)

59Moderate

How it's scored

25.2/54	Bus factor — 2 contributor(s) cover half of all commits
14.7/22.5	Commit distribution — top contributor authored 35% of commits
13.5/13.5	Contributor breadth — 97 contributors
0/10	OpenSSF Scorecard: Contributors — no data

Inputs used

bus_factor	2
contributors_sampled	97
top_contributor_share	0.346

Issue & PR responsiveness

84Excellent

How it's scored

38.9/42	Issue resolution — 93% of issues closed
25.5/30	PR acceptance — 1,376/1,621 decided PRs merged
7.4/13	Newcomer PR acceptance — 4/7 first-time contributors' PRs merged in 30d
0/15	OpenSSF Scorecard: Code-Review — no data

Inputs used

merged_prs	1,376
open_issues	40
closed_issues	503
prs_merged_7d	3
prs_decided_7d	4
prs_merged_30d	27
prs_decided_30d	42
issue_closed_ratio	0.926
closed_unmerged_prs	245
first_time_authors_30d	7
first_time_prs_merged_30d	4
first_time_prs_decided_30d	7

Ownership & stewardship

100Exceptional

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain — verified-domain status not read for this organization
25/25	Owner reach — 5,251 followers of roboflow
25/25	Track record — 170 public repos, account ~7 yr old

Inputs used

followers	5,251
owner_type	Organization
is_verified	—
owner_login	roboflow
public_repos	170
account_age_days	2,580

Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 8 days ago
20/20	Version history — 104 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	supervision
ecosystems	pypi
any_deprecated	no
min_days_since_publish	8

Engineering Quality

Are baseline engineering and documentation practices in place?

91Excellent · 19% of overall

Engineering practices

92Excellent

How it's scored

24/24	CI workflows — 10 workflow(s)
24/24	Tests present
16/16	Linter config — tox.ini
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
0/20	OpenSSF Scorecard: CI-Tests — no data

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://supervision.roboflow.com
10/10	Repository description
10/10	Topics — 19 topics
0/10	Wiki

Inputs used

topics	computer-vision, image-processing, python, yolo, instance-segmentation, object-detection, tracking, video-processing, coco, pascal-voc, deep-learning, metrics, machine-learning, pytorch, tensorflow, classification, oriented-bounding-box, low-code, hacktoberfest
has_wiki	no
homepage	https://supervision.roboflow.com
docs_site	https://supervision.roboflow.com
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?

46Weak · 16% of overall

Security posture

33At Risk

How it's scored

0/30	Security policy (SECURITY.md)
25/25	Dependabot config
0/25	Dependency lockfiles — published library — lockfiles are an application concern, not expected
0/20	CodeQL workflow

Inputs used

source	file_signals
lockfiles	uv.lock
manifests	pyproject.toml
has_codeql_workflow	no
has_security_policy	no
has_dependabot_config	yes

Excluded from scoring (no data or not applicable): Dependency lockfiles. 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	22
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:supervision@0.30.0 runtime dependency closure — what installing the published package pulls in — 22 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

100Exceptional

How it's scored

45/45	Agent instructions — .github/copilot-instructions.md, AGENTS.md, CLAUDE.md
15/15	Machine-readable docs (llms.txt) — llms.txt present
40/40	Legible commit history — 75 of 76 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	yes
llms_txt_url	—
legible_history_share	0.987
agent_instruction_files	.github/copilot-instructions.md, AGENTS.md, CLAUDE.md
agent_instruction_max_bytes	8,017

Verify loop (build / test / typecheck)

80Excellent

How it's scored

0/18	One-command bootstrap
22/22	Automated tests
11/11	Lint / format config — tox.ini
11/11	Static type checking — src/supervision/py.typed
10/10	Reproducible environment — lockfile
10/10	Demonstrated agent practice — 52 of the last 100 commits agent-authored or agent-credited
8/8	Automated maintenance — 18 of the last 100 commits are automated dependency updates
0/10	OpenSSF Scorecard: Pinned-Dependencies — no data

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	src/supervision/py.typed
agent_commit_share	0.52
toolchain_manifests	—
dependency_bot_commit_share	0.18

Code legibility for models

79Good

How it's scored

27/45	Type-checkable code — Python with type-check config (src/supervision/py.typed)
52.1/55	Manageable file sizes — 13/246 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	134,725
source_files_sampled	246
oversized_source_files	13

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

49,335GitHub stars

97contributors

547commits, last 12 months

0days since last push

40releases

2bus factor

40open 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 26 authors (cap 12)
OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 0 ★ / 4,665 ⇿

0Stars

4,665Forks

4Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

Major 0Minor 2Patch 1

Direct dependencies 10

Registry	Package	Version constraint	Manifest
PyPI	av	`>=14.2`	pyproject.toml
PyPI	defusedxml	`>=0.7.1`	pyproject.toml
PyPI	matplotlib	`>=3.6`	pyproject.toml
PyPI	numpy	`>=1.21.2`	pyproject.toml
PyPI	pillow	`>=9.4`	pyproject.toml
PyPI	pydeprecate	`>=0.9,<0.12`	pyproject.toml
PyPI	pyyaml	`>=5.3`	pyproject.toml
PyPI	requests	`>=2.26`	pyproject.toml
PyPI	scipy	`>=1.10`	pyproject.toml
PyPI	tqdm	`>=4.62.3`	pyproject.toml

All dependencies 218

Full resolved dependency set from the GitHub dependency graph: 15 direct and 203 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	av	`17.1.0`	direct
PyPI	av	`18.0.0`	direct
PyPI	defusedxml	`0.7.1`	direct
PyPI	matplotlib	`3.10.3`	direct
PyPI	numpy	`2.2.6`	direct
PyPI	numpy	`2.3.1`	direct
PyPI	pillow	`12.3.0`	direct
PyPI	pydeprecate	`0.9.0`	direct
PyPI	pyyaml	`6.0.2`	direct
PyPI	requests	`—`	direct
PyPI	requests	`2.33.0`	direct
PyPI	scipy	`1.15.3`	direct
PyPI	scipy	`1.16.0`	direct
PyPI	tqdm	`—`	direct
PyPI	tqdm	`4.67.1`	direct
PyPI	affine	`2.4.0`	indirect
PyPI	anyio	`4.9.0`	indirect
PyPI	appnope	`0.1.4`	indirect
PyPI	argon2-cffi	`25.1.0`	indirect
PyPI	argon2-cffi-bindings	`21.2.0`	indirect
PyPI	arrow	`1.3.0`	indirect
PyPI	asttokens	`3.0.0`	indirect
PyPI	async-lru	`2.0.5`	indirect
PyPI	attrs	`25.3.0`	indirect
PyPI	babel	`2.17.0`	indirect
PyPI	backports-tarfile	`1.2.0`	indirect
PyPI	backrefs	`5.9`	indirect
PyPI	beautifulsoup4	`4.13.4`	indirect
PyPI	bleach	`6.4.0`	indirect
PyPI	build	`1.2.2.post1`	indirect
PyPI	cachetools	`6.1.0`	indirect
PyPI	cairocffi	`1.7.1`	indirect
PyPI	cairosvg	`2.8.2`	indirect
PyPI	certifi	`2025.7.9`	indirect
PyPI	cffi	`1.17.1`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	chardet	`5.2.0`	indirect
PyPI	charset-normalizer	`3.4.2`	indirect
PyPI	click	`8.1.8`	indirect
PyPI	click-plugins	`1.1.1.2`	indirect
PyPI	cligj	`0.7.2`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	comm	`0.2.2`	indirect
PyPI	contourpy	`1.3.2`	indirect
PyPI	coverage	`7.13.1`	indirect
PyPI	cryptography	`50.0.0`	indirect
PyPI	cssselect2	`0.8.0`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	debugpy	`1.8.14`	indirect
PyPI	decorator	`5.2.1`	indirect
PyPI	distlib	`0.3.9`	indirect
PyPI	docutils	`0.21.2`	indirect
PyPI	exceptiongroup	`1.3.0`	indirect
PyPI	executing	`2.2.0`	indirect
PyPI	fastjsonschema	`2.21.1`	indirect
PyPI	filelock	`3.20.3`	indirect
PyPI	fonttools	`4.60.2`	indirect
PyPI	fqdn	`1.5.1`	indirect
PyPI	gdown	`—`	indirect
PyPI	ghp-import	`2.1.0`	indirect
PyPI	gitdb	`4.0.12`	indirect
PyPI	gitpython	`3.1.54`	indirect
PyPI	griffelib	`2.1.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	id	`1.5.0`	indirect
PyPI	identify	`2.6.16`	indirect
PyPI	idna	`3.15`	indirect
PyPI	importlib-metadata	`8.7.0`	indirect
PyPI	importlib-resources	`6.5.2`	indirect
PyPI	inference	`—`	indirect
PyPI	iniconfig	`2.1.0`	indirect
PyPI	ipykernel	`6.29.5`	indirect
PyPI	ipython	`8.37.0`	indirect
PyPI	ipython	`9.4.0`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	ipywidgets	`8.1.7`	indirect
PyPI	isoduration	`20.11.0`	indirect
PyPI	jaraco-classes	`3.4.0`	indirect
PyPI	jaraco-context	`6.0.1`	indirect
PyPI	jaraco-functools	`4.2.1`	indirect
PyPI	jedi	`0.19.2`	indirect
PyPI	jeepney	`0.9.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	joblib	`1.5.3`	indirect
PyPI	json5	`0.12.0`	indirect
PyPI	jsonargparse	`—`	indirect
PyPI	jsonpointer	`3.0.0`	indirect
PyPI	jsonschema	`4.24.0`	indirect
PyPI	jsonschema-specifications	`2025.4.1`	indirect
PyPI	jupyter-client	`8.6.3`	indirect
PyPI	jupyter-core	`5.8.1`	indirect
PyPI	jupyter-events	`0.12.0`	indirect
PyPI	jupyter-lsp	`2.2.5`	indirect
PyPI	jupyter-server	`2.20.0`	indirect
PyPI	jupyter-server-terminals	`0.5.3`	indirect
PyPI	jupyterlab	`4.5.10`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	jupyterlab-server	`2.28.0`	indirect
PyPI	jupyterlab-widgets	`3.0.15`	indirect
PyPI	jupytext	`1.17.2`	indirect
PyPI	keyring	`25.6.0`	indirect
PyPI	kiwisolver	`1.4.8`	indirect
PyPI	markdown	`3.8.2`	indirect
PyPI	markdown-it-py	`3.0.0`	indirect
PyPI	markupsafe	`3.0.2`	indirect
PyPI	matplotlib-inline	`0.1.7`	indirect
PyPI	mdit-py-plugins	`0.4.2`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mergedeep	`1.3.4`	indirect
PyPI	mike	`2.1.3`	indirect
PyPI	mistune	`3.3.0`	indirect
PyPI	mkdocs	`1.6.1`	indirect
PyPI	mkdocs-autorefs	`1.4.2`	indirect
PyPI	mkdocs-get-deps	`0.2.0`	indirect
PyPI	mkdocs-git-committers-plugin-2	`2.5.0`	indirect
PyPI	mkdocs-git-revision-date-localized-plugin	`1.4.7`	indirect
PyPI	mkdocs-jupyter	`0.25.1`	indirect
PyPI	mkdocs-material	`9.7.6`	indirect
PyPI	mkdocs-material-extensions	`1.3.1`	indirect
PyPI	mkdocstrings	`1.0.4`	indirect
PyPI	mkdocstrings-python	`2.0.5`	indirect
PyPI	more-itertools	`10.7.0`	indirect
PyPI	narwhals	`2.24.0`	indirect
PyPI	nbclient	`0.10.2`	indirect
PyPI	nbconvert	`7.17.1`	indirect
PyPI	nbformat	`5.10.4`	indirect
PyPI	nest-asyncio	`1.6.0`	indirect
PyPI	nh3	`0.2.21`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	notebook	`7.5.6`	indirect
PyPI	notebook-shim	`0.2.4`	indirect
PyPI	overrides	`7.7.0`	indirect
PyPI	packaging	`25.0`	indirect
PyPI	paginate	`0.5.7`	indirect
PyPI	pandas	`2.3.1`	indirect
PyPI	pandocfilters	`1.5.1`	indirect
PyPI	parso	`0.8.4`	indirect
PyPI	pathspec	`0.12.1`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	platformdirs	`4.3.8`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	pre-commit	`4.5.1`	indirect
PyPI	prometheus-client	`0.22.1`	indirect
PyPI	prompt-toolkit	`3.0.51`	indirect
PyPI	psutil	`7.0.0`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	pycparser	`2.22`	indirect
PyPI	pygments	`2.19.2`	indirect
PyPI	pymdown-extensions	`11.0.1`	indirect
PyPI	pyparsing	`3.2.3`	indirect
PyPI	pyproject-api	`1.9.1`	indirect
PyPI	pyproject-hooks	`1.2.0`	indirect
PyPI	pytest	`9.0.3`	indirect
PyPI	pytest-cov	`7.0.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-json-logger	`3.3.0`	indirect
PyPI	pytubefix	`—`	indirect
PyPI	pytz	`2025.2`	indirect
PyPI	pywin32	`312`	indirect
PyPI	pywin32-ctypes	`0.2.3`	indirect
PyPI	pywinpty	`2.0.15`	indirect
PyPI	pyyaml-env-tag	`1.1`	indirect
PyPI	pyzmq	`27.0.0`	indirect
PyPI	rasterio	`1.4.4`	indirect
PyPI	rasterio	`1.5.0`	indirect
PyPI	readme-renderer	`44.0`	indirect
PyPI	referencing	`0.36.2`	indirect
PyPI	requests-toolbelt	`1.0.0`	indirect
PyPI	rfc3339-validator	`0.1.4`	indirect
PyPI	rfc3986	`2.0.0`	indirect
PyPI	rfc3986-validator	`0.1.1`	indirect
PyPI	rfdetr	`—`	indirect
PyPI	rich	`14.0.0`	indirect
PyPI	rpds-py	`0.26.0`	indirect
PyPI	scikit-learn	`1.7.2`	indirect
PyPI	scikit-learn	`1.9.0`	indirect
PyPI	secretstorage	`3.3.3`	indirect
PyPI	send2trash	`1.8.3`	indirect
PyPI	setuptools	`80.9.0`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	smmap	`5.0.2`	indirect
PyPI	sniffio	`1.3.1`	indirect
PyPI	soupsieve	`2.8.4`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	super-gradients	`3.5.0`	indirect
PyPI	supervision	`—`	indirect
PyPI	supervision	`0.31.0.dev0`	indirect
PyPI	terminado	`0.18.1`	indirect
PyPI	threadpoolctl	`3.6.0`	indirect
PyPI	tinycss2	`1.4.0`	indirect
PyPI	tomli	`2.2.1`	indirect
PyPI	tornado	`6.5.7`	indirect
PyPI	tox	`4.27.0`	indirect
PyPI	traitlets	`5.14.3`	indirect
PyPI	twine	`6.1.0`	indirect
PyPI	types-python-dateutil	`2.9.0.20250708`	indirect
PyPI	types-requests	`2.33.0.20260518`	indirect
PyPI	types-tqdm	`4.68.0.20260608`	indirect
PyPI	typing-extensions	`4.14.1`	indirect
PyPI	tzdata	`2025.2`	indirect
PyPI	ultralytics	`—`	indirect
PyPI	uri-template	`1.3.0`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	verspec	`0.1.0`	indirect
PyPI	virtualenv	`20.36.1`	indirect
PyPI	watchdog	`6.0.0`	indirect
PyPI	wcwidth	`0.2.13`	indirect
PyPI	webcolors	`24.11.1`	indirect
PyPI	webencodings	`0.5.1`	indirect
PyPI	websocket-client	`1.8.0`	indirect
PyPI	wheel	`0.46.2`	indirect
PyPI	widgetsnbextension	`4.0.14`	indirect
PyPI	yt-dlp	`—`	indirect
PyPI	zipp	`3.23.0`	indirect

Dependency advisories 0

Installing pypi:supervision@0.30.0 pulls in 22 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 v0.31.0 — full methodology · metrics wiki.

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

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