Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-29 20:56 UTC

Sage-Bionetworks / synapsePythonClient

Programmatic interface to Synapse services for Python

PythonApache-2.0★ 84 stars⑂ 77 forkssince Aug 2012View on GitHub ↗

KindCommand-line toolLibraryhow this is determined

Sage-Bionetworks/synapsePythonClient holds a health index of 98 out of 100, placing it in the Exceptional band. It scores highest on Vitality (96/100) and lowest on AI Readiness (72/100). It was last updated today. 4 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 88 is calibrated to 98 on the published index scale (record calibration 2026-08-02).

Ownership

Sage BionetworksOrganization · verified domain

142 followers343 public repossince Dec 2011

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	synapseclient	4.14.0	21,953	71	0 days ago

Metrics by category

Vitality

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

96Exceptional · 21% of overall

Development activity

99Exceptional

How it's scored

36/36	Push recency — last push 0 days ago
35.3/36	Commit cadence — 51/52 weeks with commits
18/18	Commit volume — 587 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	587
human_commit_share	1
days_since_last_push	0
active_weeks_last_year	51

Release discipline

92Excellent

How it's scored

27/27	Ships releases — 54 releases published
36/36	Release recency — latest release 0 days ago
19.8/27	Release cadence — a release every ~57.7 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	54
latest_release_tag	v4.14.0
releases_from_tags	no
days_since_latest_release	0
mean_days_between_releases	57.7

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?

75Good · 17% of overall

Popularity & adoption

54Moderate

How it's scored

31.1/60	Stars — 84 stars
15.7/25	Forks — 77 forks
7.6/15	Watchers — 24 watchers

Inputs used

forks	77
stars	84
watchers	24
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

100Exceptional

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
7.2/7.2	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	yes
has_code_of_conduct	yes
readme_badge_services	github.com, shields.io
has_pull_request_template	yes

Ecosystem adoption (downloads)

72Good

How it's scored

57.9/80	Monthly downloads — 21,953 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	synapseclient
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	21,953
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?

92Excellent · 23% of overall

Maintainer resilience (bus factor)

85Excellent

How it's scored

43.2/54	Bus factor — 4 contributor(s) cover half of all commits
18.1/22.5	Commit distribution — top contributor authored 20% of commits
13.5/13.5	Contributor breadth — 39 contributors
10/10	OpenSSF Scorecard: Contributors — project has 32 contributing companies or organizations

Inputs used

bus_factor	4
contributors_sampled	39
top_contributor_share	0.197

Issue & PR responsiveness

95Exceptional

How it's scored

40.9/42	Issue resolution — 97% of issues closed
27.1/30	PR acceptance — 1,240/1,374 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
15/15	OpenSSF Scorecard: Code-Review — all changesets reviewed

Inputs used

merged_prs	1,240
open_issues	2
closed_issues	75
prs_merged_7d	5
prs_decided_7d	6
prs_merged_30d	12
prs_decided_30d	13
issue_closed_ratio	0.974
closed_unmerged_prs	134
first_time_authors_30d	0
first_time_prs_merged_30d	0
first_time_prs_decided_30d	0

Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

90Excellent

How it's scored

30/30	Ownership backing — organization-owned
20/20	Verified domain
15.5/25	Owner reach — 142 followers of Sage-Bionetworks
25/25	Track record — 343 public repos, account ~14 yr old

Inputs used

followers	142
owner_type	Organization
is_verified	yes
owner_login	Sage-Bionetworks
public_repos	343
account_age_days	5,408

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 0 days ago
20/20	Version history — 71 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	synapseclient
ecosystems	pypi
any_deprecated	no
min_days_since_publish	0

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 — 8 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff], [tool.black], [tool.isort]), setup.cfg ([flake8])
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

100Exceptional

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://www.synapse.org
10/10	Repository description
10/10	Topics — 3 topics
10/10	Wiki

Inputs used

topics	synapse, python, bdf-toolbox
has_wiki	yes
homepage	https://www.synapse.org
docs_site	https://www.synapse.org
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?

78Good · 16% of overall

Security posture

72Good

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0.8/7.5	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 32 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 0 issue activity found in the last 90 days -- score normalized to 10
5/5	Packaging — packaging workflow detected
0.5/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
5/5	SAST — SAST tool is run on all commits
5/5	Security-Policy — security policy file detected
0/7.5	Signed-Releases — no data
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5	Vulnerabilities — 1 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	17
scorecard_version	v5.5.0
checks_inconclusive	1
scorecard_aggregate	7.2

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

Dependency advisories

100Exceptional

How it's scored

35/35	Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40	No advisories left outstanding — no advisory carries a publication date

Inputs used

source	osv
advisories	2
affected_packages	1
assessed_packages	121
unassessed_packages	7
affected_by_severity	low 1
direct_affected_packages	0

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 121 resolved dependencies against OSV. 7 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. 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.

72Good · 4% of overall

Agent context & guidance

100Exceptional

How it's scored

45/45	Agent instructions — CLAUDE.md, docs/CLAUDE.md, docs/reference/experimental/async/agent.md, docs/reference/experimental/sync/agent.md, synapseclient/api/CLAUDE.md, synapseclient/core/CLAUDE.md, synapseclient/core/constants/CLAUDE.md, synapseclient/core/credentials/CLAUDE.md, synapseclient/core/download/CLAUDE.md, synapseclient/core/upload/CLAUDE.md, synapseclient/extensions/curator/CLAUDE.md, synapseclient/models/CLAUDE.md, synapseclient/models/mixins/CLAUDE.md, synapseclient/models/protocols/CLAUDE.md, synapseclient/models/services/CLAUDE.md, synapseclient/operations/CLAUDE.md, synapseutils/CLAUDE.md, tests/CLAUDE.md
15/15	Machine-readable docs (llms.txt) — llms.txt served by the project website (https://help.synapse.org/llms.txt)
40/40	Legible commit history — 89 of 100 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	yes
llms_txt_url	https://help.synapse.org/llms.txt
legible_history_share	0.89
agent_instruction_files	CLAUDE.md, docs/CLAUDE.md, docs/reference/experimental/async/agent.md, docs/reference/experimental/sync/agent.md, synapseclient/api/CLAUDE.md, synapseclient/core/CLAUDE.md, synapseclient/core/constants/CLAUDE.md, synapseclient/core/credentials/CLAUDE.md, synapseclient/core/download/CLAUDE.md, synapseclient/core/upload/CLAUDE.md, synapseclient/extensions/curator/CLAUDE.md, synapseclient/models/CLAUDE.md, synapseclient/models/mixins/CLAUDE.md, synapseclient/models/protocols/CLAUDE.md, synapseclient/models/services/CLAUDE.md, synapseclient/operations/CLAUDE.md, synapseutils/CLAUDE.md, tests/CLAUDE.md
agent_instruction_max_bytes	8,553

Verify loop (build / test / typecheck)

59Moderate

How it's scored

0/18	One-command bootstrap
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff], [tool.black], [tool.isort]), setup.cfg ([flake8])
0/11	Static type checking
10/10	Reproducible environment — Dockerfile, lockfile
10/10	Demonstrated agent practice — 14 of the last 100 commits agent-authored or agent-credited
5/8	Automated maintenance — dependency automation configured, none observed in the sampled commits
1/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1

Inputs used

has_nix	no
has_tests	yes
lockfiles	Pipfile.lock
has_dockerfile	yes
typed_language	no
bootstrap_files	—
has_devcontainer	no
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0.14
toolchain_manifests	—
dependency_bot_commit_share	0

Code legibility for models

50Moderate

How it's scored

0/45	Type-checkable code — Python without a type-check config
50.3/55	Manageable file sizes — 33/387 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	400,502
source_files_sampled	387
oversized_source_files	33

Key facts

84GitHub stars

39contributors

587commits, last 12 months

0days since last push

54releases

4bus factor

2open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
deps.dev does not index pypi:synapseclient@4.14.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 77 ⇿

0Stars

77Forks

53Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

Major 3Minor 24Patch 22

Each point covers 13 days.

OpenSSF Scorecard 7.2 / 10

7.2aggregate

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 · 2026-09-29 20:55 UTC

10	Binary-Artifacts	no binaries found in the repo
1	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 32 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 0 issue activity found in the last 90 days -- score normalized to 10
10	Packaging	packaging workflow detected
1	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 1
10	SAST	SAST tool is run on all commits
10	Security-Policy	security policy file detected
n/a	Signed-Releases	no releases found
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
9	Vulnerabilities	1 existing vulnerabilities detected

Direct dependencies 19

Registry	Package	Version constraint	Manifest
PyPI	requests	`>=2.34.0,<3.0`	setup.cfg
PyPI	urllib3	`>=2.6.3`	setup.cfg
PyPI	deprecated	`>=1.2.4,<2.0`	setup.cfg
PyPI	opentelemetry-api	`>=1.21.0`	setup.cfg
PyPI	opentelemetry-sdk	`>=1.21.0`	setup.cfg
PyPI	opentelemetry-exporter-otlp-proto-http	`>=1.21.0`	setup.cfg
PyPI	opentelemetry-instrumentation-httpx	`>=0.48b0`	setup.cfg
PyPI	opentelemetry-instrumentation-requests	`>=0.48b0`	setup.cfg
PyPI	opentelemetry-instrumentation-threading	`>=0.48b0`	setup.cfg
PyPI	opentelemetry-instrumentation-urllib	`>=0.48b0`	setup.cfg
PyPI	nest-asyncio	`~=1.6.0`	setup.cfg
PyPI	asyncio-atexit	`~=1.0.1`	setup.cfg
PyPI	httpx	`>=0.27.0`	setup.cfg
PyPI	httpcore	`>=1.0.9`	setup.cfg
PyPI	tqdm	`>=4.66.2,<5.0`	setup.cfg
PyPI	async-lru	`~=2.0.4`	setup.cfg
PyPI	psutil	`>=5.9.8`	setup.cfg
PyPI	setuptools	`>=80.10.1`	setup.cfg
PyPI	cryptography	`>=50.0.0`	setup.cfg

All dependencies 128

Full resolved dependency set from the GitHub dependency graph: 19 direct and 109 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	async-lru	`2.0.5`	direct
PyPI	asyncio-atexit	`1.0.1`	direct
PyPI	cryptography	`50.0.0`	direct
PyPI	deprecated	`1.3.1`	direct
PyPI	httpcore	`1.0.9`	direct
PyPI	httpx	`0.28.1`	direct
PyPI	nest-asyncio	`1.6.0`	direct
PyPI	opentelemetry-api	`1.44.0`	direct
PyPI	opentelemetry-exporter-otlp-proto-http	`1.44.0`	direct
PyPI	opentelemetry-instrumentation-httpx	`0.65b0`	direct
PyPI	opentelemetry-instrumentation-requests	`0.65b0`	direct
PyPI	opentelemetry-instrumentation-threading	`0.65b0`	direct
PyPI	opentelemetry-instrumentation-urllib	`0.65b0`	direct
PyPI	opentelemetry-sdk	`1.44.0`	direct
PyPI	psutil	`7.2.2`	direct
PyPI	requests	`2.34.2`	direct
PyPI	setuptools	`84.0.0`	direct
PyPI	tqdm	`4.70.0`	direct
PyPI	urllib3	`2.7.0`	direct
PyPI	anyio	`4.14.2`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	backrefs	`8.0`	indirect
PyPI	bcrypt	`5.0.0`	indirect
PyPI	black	`26.5.1`	indirect
PyPI	boto3	`1.43.69`	indirect
PyPI	botocore	`1.43.69`	indirect
PyPI	certifi	`2026.7.22`	indirect
PyPI	cffi	`2.1.1`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	charset-normalizer	`3.4.9`	indirect
PyPI	click	`8.4.2`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	coverage	`7.15.4`	indirect
PyPI	dataclasses-json	`0.6.7`	indirect
PyPI	dill	`0.4.1`	indirect
PyPI	distlib	`0.4.3`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	filelock	`3.32.2`	indirect
PyPI	flake8	`3.9.2`	indirect
PyPI	func-timeout	`4.3.5`	indirect
PyPI	ghp-import	`2.1.0`	indirect
PyPI	googleapis-common-protos	`1.75.1`	indirect
PyPI	griffelib	`2.1.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	identify	`2.6.19`	indirect
PyPI	idna	`3.18`	indirect
PyPI	inflection	`0.5.1`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jmespath	`1.1.0`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	markdown	`3.10.3`	indirect
PyPI	markdown-include	`—`	indirect
PyPI	markdown-include	`0.8.1`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	marshmallow	`3.26.2`	indirect
PyPI	mccabe	`0.6.1`	indirect
PyPI	mergedeep	`1.3.4`	indirect
PyPI	mkdocs	`—`	indirect
PyPI	mkdocs	`1.6.1`	indirect
PyPI	mkdocs-autorefs	`1.4.4`	indirect
PyPI	mkdocs-get-deps	`0.2.2`	indirect
PyPI	mkdocs-material	`—`	indirect
PyPI	mkdocs-material	`9.7.7`	indirect
PyPI	mkdocs-material-extensions	`1.3.1`	indirect
PyPI	mkdocs-open-in-new-tab	`—`	indirect
PyPI	mkdocs-open-in-new-tab	`1.0.8`	indirect
PyPI	mkdocstrings	`—`	indirect
PyPI	mkdocstrings	`1.0.6`	indirect
PyPI	mkdocstrings-python	`—`	indirect
PyPI	mkdocstrings-python	`2.0.5`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	networkx	`3.6.1`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	numpy	`2.5.2`	indirect
PyPI	opentelemetry-exporter-otlp-proto-common	`1.44.0`	indirect
PyPI	opentelemetry-instrumentation	`0.65b0`	indirect
PyPI	opentelemetry-proto	`1.44.0`	indirect
PyPI	opentelemetry-semantic-conventions	`0.65b0`	indirect
PyPI	opentelemetry-util-http	`0.65b0`	indirect
PyPI	packaging	`26.3`	indirect
PyPI	paginate	`0.5.7`	indirect
PyPI	pandarallel	`1.6.5`	indirect
PyPI	pandas	`2.3.3`	indirect
PyPI	paramiko	`3.5.1`	indirect
PyPI	pathspec	`1.1.1`	indirect
PyPI	platformdirs	`4.11.2`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	pre-commit	`4.6.2`	indirect
PyPI	protobuf	`7.35.1`	indirect
PyPI	pycodestyle	`2.7.0`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pyflakes	`2.3.1`	indirect
PyPI	pygments	`2.20.0`	indirect
PyPI	pymdown-extensions	`11.0.1`	indirect
PyPI	pynacl	`1.6.2`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pysftp	`0.2.9`	indirect
PyPI	pytest	`9.0.3`	indirect
PyPI	pytest-asyncio	`1.4.0`	indirect
PyPI	pytest-cov	`4.1.0`	indirect
PyPI	pytest-html	`4.1.1`	indirect
PyPI	pytest-metadata	`3.1.1`	indirect
PyPI	pytest-mock	`3.15.1`	indirect
PyPI	pytest-rerunfailures	`12.0`	indirect
PyPI	pytest-socket	`0.6.0`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-discovery	`1.5.1`	indirect
PyPI	pytokens	`0.4.1`	indirect
PyPI	pytz	`2026.3.post1`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyyaml-env-tag	`1.1`	indirect
PyPI	rdflib	`7.6.0`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	rpds-py	`2026.6.3`	indirect
PyPI	s3transfer	`0.19.2`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	termynal	`—`	indirect
PyPI	termynal	`0.14.0`	indirect
PyPI	typing-extensions	`4.16.0`	indirect
PyPI	typing-inspect	`0.9.0`	indirect
PyPI	tzdata	`2026.3`	indirect
PyPI	virtualenv	`21.7.4`	indirect
PyPI	watchdog	`6.0.0`	indirect
PyPI	wrapt	`2.3.0`	indirect

Dependency advisories 1

This repository publishes no package the index resolves, so its own dependency graph was assessed — 121 packages, which also include development and test pins that never ship: 1 carry known advisories, of which 0 are direct. 7 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

Package	Version	Relation	Severity	Advisories	Fixed in
paramiko	`3.5.1`	indirect	low	2	—

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 v0.34.0 — full methodology · metrics wiki.

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

Software health index

Score profile

Ownership

Package ecosystems

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