Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-12 23:23 UTC

online-ml / river

🌊 Online machine learning in Python

PythonBSD-3-Clause★ 5,914 stars⑂ 654 forkssince Jan 2019View on GitHub ↗

#incremental-learning #machine-learning #python #online-learning #online-statistics #data-science #streaming #online-machine-learning #streaming-data #concept-drift #real-time-processing #stream-processing

online-ml/river holds a health index of 97 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (96/100) and lowest on Security (63/100). 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 85 is calibrated to 97 on the published index scale (record calibration 2026-08-02).

Ownership

The Fellowship of Online Machine LearningOrganization

243 followers15 public repossince Jan 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
crates.io	riverpoints to another repo — not scored	0.0.0	5	2	800 days ago	proxy
PyPI	river	0.25.0	-	28	73 days ago	—

Metrics by category

Vitality

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

89Excellent · 21% of overall

Development activity

87Excellent

How it's scored

36/36	Push recency — last push 0 days ago
22.8/36	Commit cadence — 33/52 weeks with commits
18/18	Commit volume — 289 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	289
human_commit_share	0.87
days_since_last_push	0
active_weeks_last_year	33

Release discipline

92Excellent

How it's scored

27/27	Ships releases — 22 releases published
36/36	Release recency — latest release 73 days ago
19.8/27	Release cadence — a release every ~103.8 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	22
latest_release_tag	0.25.0
releases_from_tags	no
days_since_latest_release	73
mean_days_between_releases	103.8

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?

93Exceptional · 17% of overall

Popularity & adoption

94Exceptional

How it's scored

60/60	Stars — 5,914 stars
23.5/25	Forks — 654 forks
10.5/15	Watchers — 79 watchers

Inputs used

forks	654
stars	5,914
watchers	79
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 (BSD-3-Clause)
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	5
has_contributing	yes
has_issue_template	no
has_code_of_conduct	yes
readme_badge_services	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?

80Excellent · 23% of overall

Maintainer resilience (bus factor)

60Moderate

How it's scored

25.2/54	Bus factor — 2 contributor(s) cover half of all commits
11.6/22.5	Commit distribution — top contributor authored 48% of commits
13.5/13.5	Contributor breadth — 98 contributors
10/10	OpenSSF Scorecard: Contributors — project has 30 contributing companies or organizations

Inputs used

bus_factor	2
contributors_sampled	98
top_contributor_share	0.485

Issue & PR responsiveness

84Excellent

How it's scored

38.6/42	Issue resolution — 92% of issues closed
24.4/30	PR acceptance — 703/863 decided PRs merged
10.1/13	Newcomer PR acceptance — 7/9 first-time contributors' PRs merged in 30d
10.5/15	OpenSSF Scorecard: Code-Review — Found 19/25 approved changesets -- score normalized to 7

Inputs used

merged_prs	703
open_issues	53
closed_issues	613
prs_merged_7d	4
prs_decided_7d	5
prs_merged_30d	25
prs_decided_30d	29
issue_closed_ratio	0.92
closed_unmerged_prs	160
first_time_authors_30d	3
first_time_prs_merged_30d	7
first_time_prs_decided_30d	9

Ownership & stewardship

85Excellent

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain — verified-domain status not read for this organization
17.2/25	Owner reach — 243 followers of online-ml
20.8/25	Track record — 15 public repos, account ~7 yr old

Inputs used

followers	243
owner_type	Organization
is_verified	—
owner_login	online-ml
public_repos	15
account_age_days	2,757

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 73 days ago
20/20	Version history — 28 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	river
ecosystems	pypi
any_deprecated	no
min_days_since_publish	73

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 — 7 workflow(s)
24/24	Tests present
16/16	Linter config
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 29 out of 29 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://riverml.xyz
10/10	Repository description
10/10	Topics — 12 topics
10/10	Wiki

Inputs used

topics	incremental-learning, machine-learning, python, online-learning, online-statistics, data-science, streaming, online-machine-learning, streaming-data, concept-drift, real-time-processing, stream-processing
has_wiki	yes
homepage	https://riverml.xyz
docs_site	https://riverml.xyz
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?

63Moderate · 16% of overall

Security posture

57Moderate

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5	CI-Tests — 29 out of 29 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
5.2/7.5	Code-Review — Found 19/25 approved changesets -- score normalized to 7
2.5/2.5	Contributors — project has 30 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
7.5/7.5	Maintained — 30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
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
5.2/7.5	Vulnerabilities — 3 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	17
scorecard_version	v5.5.0
checks_inconclusive	1
scorecard_aggregate	5.7

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

Dependency advisories

85Excellent

How it's scored

26.6/35	Direct dependencies free of known advisories — 1 affected: bincode 1.3.3 (unknown)
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
37.2/40	No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 239 days ago

Inputs used

source	osv
advisories	3
affected_packages	3
assessed_packages	294
unassessed_packages	0
affected_by_severity	high 1, unknown 2
direct_affected_packages	1

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 294 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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 — 82 of 87 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.943
agent_instruction_files	AGENTS.md, CLAUDE.md
agent_instruction_max_bytes	4,487

Verify loop (build / test / typecheck)

90Excellent

How it's scored

18/18	One-command bootstrap — Makefile
22/22	Automated tests
11/11	Lint / format config
11/11	Static type checking — river/py.typed
10/10	Reproducible environment — lockfile
10/10	Demonstrated agent practice — 41 of the last 100 commits agent-authored or agent-credited
8/8	Automated maintenance — 13 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	Cargo.lock, uv.lock
has_dockerfile	no
typed_language	no
bootstrap_files	Makefile
has_devcontainer	no
has_linter_config	yes
typecheck_configs	river/py.typed
agent_commit_share	0.41
toolchain_manifests	Cargo.toml
dependency_bot_commit_share	0.13

Code legibility for models

82Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (river/py.typed)
55/55	Manageable file sizes — 0/613 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	38,634
source_files_sampled	613
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 — examples, notebooks, recipes

Inputs used

example_dirs	examples, notebooks, recipes
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

5,914GitHub stars

98contributors

289commits, last 12 months

0days since last push

22releases

2bus factor

53open issues

crates.io, PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
crates package 'river' points at a different repository (https://github.com/memorysafety/river); excluded from ecosystem scoring
deps.dev does not index crates:river@0.0.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 654 ⇿

0Stars

654Forks

22Releases

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 0Minor 16Patch 6

Each point covers 7 days.

OpenSSF Scorecard 5.7 / 10

5.7aggregate

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 · 2026-08-12 23:23 UTC

10	Binary-Artifacts	no binaries found in the repo
0	Branch-Protection	branch protection not enabled on development/release branches
10	CI-Tests	29 out of 29 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
7	Code-Review	Found 19/25 approved changesets -- score normalized to 7
10	Contributors	project has 30 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
10	Maintained	30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
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
7	Vulnerabilities	3 existing vulnerabilities detected

Direct dependencies 10

Registry	Package	Version constraint	Manifest
crates.io	pyo3	`0.29.0`	Cargo.toml
crates.io	bincode	`1.3.3`	Cargo.toml
crates.io	serde	`1.0`	Cargo.toml
crates.io	serde_json	`1.0`	Cargo.toml
crates.io	num	`0.4`	Cargo.toml
crates.io	ordered-float	`3.9`	Cargo.toml
crates.io	libm	`0.2`	Cargo.toml
PyPI	scipy	`>=1.14.1,<2`	pyproject.toml
PyPI	numpy	`>=2.2.5,<3`	pyproject.toml
PyPI	narwhals	`>=2.0.0`	pyproject.toml

All dependencies 294

Full resolved dependency set from the GitHub dependency graph: 10 direct and 284 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
crates.io	bincode	`1.3.3`	direct
crates.io	libm	`0.2.16`	direct
crates.io	num	`0.4.3`	direct
crates.io	ordered-float	`3.9.2`	direct
crates.io	pyo3	`0.29.0`	direct
crates.io	serde	`1.0.228`	direct
crates.io	serde_json	`1.0.149`	direct
PyPI	narwhals	`2.18.1`	direct
PyPI	numpy	`2.4.3`	direct
PyPI	scipy	`1.17.1`	direct
crates.io	aho-corasick	`1.1.4`	indirect
crates.io	anes	`0.1.6`	indirect
crates.io	anstyle	`1.0.14`	indirect
crates.io	anyhow	`1.0.103`	indirect
crates.io	approx	`0.5.1`	indirect
crates.io	autocfg	`1.5.0`	indirect
crates.io	bitflags	`2.13.0`	indirect
crates.io	bumpalo	`3.20.2`	indirect
crates.io	cast	`0.3.0`	indirect
crates.io	cc	`1.2.65`	indirect
crates.io	cfg-if	`1.0.4`	indirect
crates.io	cfg_aliases	`0.2.1`	indirect
crates.io	ciborium	`0.2.2`	indirect
crates.io	ciborium-io	`0.2.2`	indirect
crates.io	ciborium-ll	`0.2.2`	indirect
crates.io	clap	`4.6.0`	indirect
crates.io	clap_builder	`4.6.0`	indirect
crates.io	clap_lex	`1.1.0`	indirect
crates.io	codspeed	`5.0.1`	indirect
crates.io	codspeed-criterion-compat	`5.0.1`	indirect
crates.io	codspeed-criterion-compat-walltime	`5.0.1`	indirect
crates.io	colored	`3.1.1`	indirect
crates.io	criterion-plot	`0.5.0`	indirect
crates.io	crossbeam-deque	`0.8.6`	indirect
crates.io	crossbeam-epoch	`0.9.18`	indirect
crates.io	crossbeam-utils	`0.8.21`	indirect
crates.io	crunchy	`0.2.4`	indirect
crates.io	either	`1.15.0`	indirect
crates.io	find-msvc-tools	`0.1.9`	indirect
crates.io	getrandom	`0.4.3`	indirect
crates.io	glob	`0.3.3`	indirect
crates.io	half	`2.7.1`	indirect
crates.io	heck	`0.5.0`	indirect
crates.io	hermit-abi	`0.5.2`	indirect
crates.io	is-terminal	`0.4.17`	indirect
crates.io	itertools	`0.10.5`	indirect
crates.io	itoa	`1.0.18`	indirect
crates.io	js-sys	`0.3.95`	indirect
crates.io	libc	`0.2.186`	indirect
crates.io	memchr	`2.8.0`	indirect
crates.io	nix	`0.31.3`	indirect
crates.io	num-bigint	`0.4.6`	indirect
crates.io	num-complex	`0.4.6`	indirect
crates.io	num-integer	`0.1.46`	indirect
crates.io	num-iter	`0.1.45`	indirect
crates.io	num-rational	`0.4.2`	indirect
crates.io	num-traits	`0.2.19`	indirect
crates.io	once_cell	`1.21.4`	indirect
crates.io	oorandom	`11.1.5`	indirect
crates.io	plotters	`0.3.7`	indirect
crates.io	plotters-backend	`0.3.7`	indirect
crates.io	plotters-svg	`0.3.7`	indirect
crates.io	portable-atomic	`1.13.1`	indirect
crates.io	proc-macro2	`1.0.106`	indirect
crates.io	pyo3-build-config	`0.29.0`	indirect
crates.io	pyo3-ffi	`0.29.0`	indirect
crates.io	pyo3-macros	`0.29.0`	indirect
crates.io	pyo3-macros-backend	`0.29.0`	indirect
crates.io	quote	`1.0.45`	indirect
crates.io	r-efi	`6.0.0`	indirect
crates.io	rand	`0.8.6`	indirect
crates.io	rand_core	`0.6.4`	indirect
crates.io	rayon	`1.12.0`	indirect
crates.io	rayon-core	`1.13.0`	indirect
crates.io	regex	`1.12.3`	indirect
crates.io	regex-automata	`0.4.14`	indirect
crates.io	regex-syntax	`0.8.10`	indirect
crates.io	rustversion	`1.0.22`	indirect
crates.io	same-file	`1.0.6`	indirect
crates.io	serde_core	`1.0.228`	indirect
crates.io	serde_derive	`1.0.228`	indirect
crates.io	shlex	`2.0.1`	indirect
crates.io	statrs	`0.18.0`	indirect
crates.io	syn	`2.0.117`	indirect
crates.io	target-lexicon	`0.13.5`	indirect
crates.io	tinytemplate	`1.2.1`	indirect
crates.io	unicode-ident	`1.0.24`	indirect
crates.io	walkdir	`2.5.0`	indirect
crates.io	wasm-bindgen	`0.2.118`	indirect
crates.io	wasm-bindgen-macro	`0.2.118`	indirect
crates.io	wasm-bindgen-macro-support	`0.2.118`	indirect
crates.io	wasm-bindgen-shared	`0.2.118`	indirect
crates.io	web-sys	`0.3.95`	indirect
crates.io	winapi-util	`0.1.11`	indirect
crates.io	windows-link	`0.2.1`	indirect
crates.io	windows-sys	`0.61.2`	indirect
crates.io	zerocopy	`0.8.48`	indirect
crates.io	zerocopy-derive	`0.8.48`	indirect
crates.io	zmij	`1.0.21`	indirect
PyPI	alabaster	`1.0.0`	indirect
PyPI	altair	`6.0.0`	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	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	attrs	`26.1.0`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	beautifulsoup4	`4.14.3`	indirect
PyPI	bleach	`6.4.0`	indirect
PyPI	blinker	`1.9.0`	indirect
PyPI	build	`1.4.2`	indirect
PyPI	certifi	`2026.2.25`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	charset-normalizer	`3.4.6`	indirect
PyPI	click	`8.3.1`	indirect
PyPI	cloudpickle	`3.1.2`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	debugpy	`1.8.20`	indirect
PyPI	decorator	`5.2.1`	indirect
PyPI	deepmerge	`2.0`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	distlib	`0.4.0`	indirect
PyPI	docutils	`0.22.4`	indirect
PyPI	dominate	`2.9.1`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	farama-notifications	`0.0.4`	indirect
PyPI	fastjsonschema	`2.21.2`	indirect
PyPI	filelock	`3.25.2`	indirect
PyPI	flask	`3.1.3`	indirect
PyPI	fonttools	`4.63.0`	indirect
PyPI	fqdn	`1.5.1`	indirect
PyPI	graphviz	`0.20.3`	indirect
PyPI	greenlet	`3.3.2`	indirect
PyPI	grimp	`3.15`	indirect
PyPI	gymnasium	`0.29.1`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	idna	`3.15`	indirect
PyPI	imagesize	`2.0.0`	indirect
PyPI	import-linter	`2.13`	indirect
PyPI	importlib-metadata	`9.0.0`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	ipykernel	`6.31.0`	indirect
PyPI	ipython	`8.38.0`	indirect
PyPI	ipython-genutils	`0.2.0`	indirect
PyPI	ipywidgets	`8.1.8`	indirect
PyPI	isoduration	`20.11.0`	indirect
PyPI	itsdangerous	`2.2.0`	indirect
PyPI	jedi	`0.19.2`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	joblib	`1.5.3`	indirect
PyPI	json5	`0.13.0`	indirect
PyPI	jsonpointer	`3.1.1`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	jupyter	`1.1.1`	indirect
PyPI	jupyter-client	`8.8.0`	indirect
PyPI	jupyter-console	`6.6.3`	indirect
PyPI	jupyter-contrib-core	`0.4.2`	indirect
PyPI	jupyter-contrib-nbextensions	`0.7.0`	indirect
PyPI	jupyter-core	`5.9.1`	indirect
PyPI	jupyter-events	`0.12.0`	indirect
PyPI	jupyter-highlight-selected-word	`0.2.0`	indirect
PyPI	jupyter-lsp	`2.3.0`	indirect
PyPI	jupyter-nbextensions-configurator	`0.6.4`	indirect
PyPI	jupyter-server	`2.20.0`	indirect
PyPI	jupyter-server-terminals	`0.5.4`	indirect
PyPI	jupyterlab	`4.5.10`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	jupyterlab-server	`2.28.0`	indirect
PyPI	jupyterlab-widgets	`3.0.16`	indirect
PyPI	kiwisolver	`1.5.0`	indirect
PyPI	lark	`1.3.1`	indirect
PyPI	librt	`0.8.1`	indirect
PyPI	lxml	`6.1.0`	indirect
PyPI	markdown	`3.10.2`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib	`3.10.9`	indirect
PyPI	matplotlib-inline	`0.2.1`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mike	`2.2.0+zensical.0.1.0`	indirect
PyPI	mistune	`3.3.0`	indirect
PyPI	mpmath	`1.3.0`	indirect
PyPI	mypy	`1.19.1`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	nbclassic	`1.3.3`	indirect
PyPI	nbclient	`0.10.4`	indirect
PyPI	nbconvert	`7.17.1`	indirect
PyPI	nbformat	`5.10.4`	indirect
PyPI	nest-asyncio	`1.6.0`	indirect
PyPI	notebook	`6.5.4`	indirect
PyPI	notebook-shim	`0.2.4`	indirect
PyPI	numpydoc	`1.10.0`	indirect
PyPI	overrides	`7.7.0`	indirect
PyPI	packaging	`26.0`	indirect
PyPI	pandas	`2.3.3`	indirect
PyPI	pandocfilters	`1.5.1`	indirect
PyPI	parso	`0.8.6`	indirect
PyPI	pathspec	`1.0.4`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`12.3.0`	indirect
PyPI	platformdirs	`4.9.4`	indirect
PyPI	plotly	`6.6.0`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	polars	`1.39.3`	indirect
PyPI	polars-runtime-32	`1.39.3`	indirect
PyPI	prek	`0.4.3`	indirect
PyPI	prometheus-client	`0.24.1`	indirect
PyPI	prompt-toolkit	`3.0.52`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	pyarrow	`24.0.0`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pygments	`2.20.0`	indirect
PyPI	pymdown-extensions	`11.0.1`	indirect
PyPI	pympler	`1.1`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pyproject-hooks	`1.2.0`	indirect
PyPI	pytest	`9.0.3`	indirect
PyPI	pytest-codspeed	`5.0.3`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-discovery	`1.2.0`	indirect
PyPI	python-json-logger	`4.0.0`	indirect
PyPI	python-slugify	`8.0.4`	indirect
PyPI	pytz	`2026.1.post1`	indirect
PyPI	pywin32	`311`	indirect
PyPI	pywinpty	`3.0.3`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyzmq	`27.1.0`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	requests	`2.33.0`	indirect
PyPI	rfc3339-validator	`0.1.4`	indirect
PyPI	rfc3986-validator	`0.1.1`	indirect
PyPI	rfc3987-syntax	`1.1.0`	indirect
PyPI	rich	`15.0.0`	indirect
PyPI	river	`0.25.0`	indirect
PyPI	roman-numerals	`4.1.0`	indirect
PyPI	rpds-py	`0.30.0`	indirect
PyPI	ruff	`0.15.8`	indirect
PyPI	scikit-learn	`1.8.0`	indirect
PyPI	send2trash	`2.1.0`	indirect
PyPI	setuptools	`83.0.0`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	snowballstemmer	`3.0.1`	indirect
PyPI	soupsieve	`2.8.4`	indirect
PyPI	sphinx	`9.0.4`	indirect
PyPI	sphinx	`9.1.0`	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-qthelp	`2.0.0`	indirect
PyPI	sphinxcontrib-serializinghtml	`2.0.0`	indirect
PyPI	sqlalchemy	`2.0.48`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	sympy	`1.14.0`	indirect
PyPI	ta-lib	`0.6.8`	indirect
PyPI	tabulate	`0.10.0`	indirect
PyPI	terminado	`0.18.1`	indirect
PyPI	text-unidecode	`1.3`	indirect
PyPI	threadpoolctl	`3.6.0`	indirect
PyPI	tinycss2	`1.4.0`	indirect
PyPI	tomli	`2.4.1`	indirect
PyPI	tornado	`6.5.7`	indirect
PyPI	tqdm	`4.67.3`	indirect
PyPI	traitlets	`5.14.3`	indirect
PyPI	typing-extensions	`4.15.0`	indirect
PyPI	tzdata	`2025.3`	indirect
PyPI	uri-template	`1.3.0`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	verspec	`0.1.0`	indirect
PyPI	virtualenv	`21.2.0`	indirect
PyPI	watermark	`2.6.0`	indirect
PyPI	wcwidth	`0.6.0`	indirect
PyPI	webcolors	`25.10.0`	indirect
PyPI	webencodings	`0.5.1`	indirect
PyPI	websocket-client	`1.9.0`	indirect
PyPI	werkzeug	`3.1.7`	indirect
PyPI	widgetsnbextension	`4.0.15`	indirect
PyPI	zensical	`0.0.40`	indirect
PyPI	zipp	`3.23.0`	indirect

Dependency advisories 3

This repository publishes no package the index resolves, so its own dependency graph was assessed — 294 packages, which also include development and test pins that never ship: 3 carry known advisories, of which 1 are direct.

Package	Version	Relation	Severity	Advisories	Fixed in
click	`8.3.1`	indirect	high	1	`8.3.3`
bincode	`1.3.3`	direct	unknown	1	—
crossbeam-epoch	`0.9.18`	indirect	unknown	1	`0.9.20`

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

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 — crates.io, PyPI.

Software health index

Score profile

Ownership

Package ecosystems

Metrics by category

Key facts

Data collection warnings

More detail

Feedback

Related records