Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 23:16 UTC

taverntesting / tavern

A command-line tool and Python library and Pytest plugin for automated testing of RESTful APIs, with a simple, concise and flexible YAML-based syntax

PythonMIT★ 1,161 stars⑂ 201 forkssince Nov 2017View on GitHub ↗

KindPluginCommand-line toolLibraryhow this is determined

#python #pytest #testing #test-automation #mqtt #http #grpc #grpc-python

taverntesting/tavern holds a health index of 92 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on Sustainability & Governance (64/100). It was last updated 6 days ago. A single contributor accounts for most of its recent work.

overall / 100

Excellent

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met

Excellent80-92Strong across the board; minor gaps

Good65-79Healthy; gaps are limited and manageable

Moderate50-64Acceptable with notable gaps; review recommended

Weak35-49Material weaknesses across several areas

At Risk20-34Significant weaknesses; adoption warrants caution

Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 78 is calibrated to 92 on the published index scale (record calibration 2026-08-02).

Ownership

taverntestingOrganization

8 followers5 public repossince Nov 2017

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	tavern	3.6.3	185,670	223	17 days ago	testing pytest

Metrics by category

Vitality

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

85Excellent · 21% of overall

Development activity

83Excellent

How it's scored

36/36	Push recency — last push 6 days ago
19.4/36	Commit cadence — 28/52 weeks with commits
17.6/18	Commit volume — 91 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	91
human_commit_share	0.79
days_since_last_push	6
active_weeks_last_year	28

Release discipline

88Excellent

How it's scored

16.2/27	Ships releases — 72 version tags (no GitHub releases)
36/36	Release recency — latest release 17 days ago
27/27	Release cadence — a release every ~16.5 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	72
latest_release_tag	3.6.3
releases_from_tags	yes
days_since_latest_release	17
mean_days_between_releases	16.5

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?

77Good · 17% of overall

Popularity & adoption

76Good

How it's scored

49.7/60	Stars — 1,161 stars
19.2/25	Forks — 201 forks
7.6/15	Watchers — 24 watchers

Inputs used

forks	201
stars	1,161
watchers	24
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

70Good

How it's scored

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

Inputs used

has_readme	yes
has_license	yes
readme_badges	3
has_contributing	yes
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	github.com, readthedocs.org, shields.io
has_pull_request_template	no

Ecosystem adoption (downloads)

88Excellent

How it's scored

70.2/80	Monthly downloads — 185,670 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	tavern
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	185,670
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?

64Moderate · 23% of overall

Maintainer resilience (bus factor)

37Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
4.2/22.5	Commit distribution — top contributor authored 81% of commits
13.5/13.5	Contributor breadth — 62 contributors
10/10	OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	62
top_contributor_share	0.812

Issue & PR responsiveness

77Good

How it's scored

40.9/42	Issue resolution — 97% of issues closed
22.9/30	PR acceptance — 367/481 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
3/15	OpenSSF Scorecard: Code-Review — Found 5/17 approved changesets -- score normalized to 2

Inputs used

merged_prs	367
open_issues	16
closed_issues	607
prs_merged_7d	1
prs_decided_7d	1
prs_merged_30d	11
prs_decided_30d	11
issue_closed_ratio	0.974
closed_unmerged_prs	114
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

55Moderate

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
6.9/25	Owner reach — 8 followers of taverntesting
17.7/25	Track record — 5 public repos, account ~8 yr old

Inputs used

followers	8
owner_type	Organization
is_verified	no
owner_login	taverntesting
public_repos	5
account_age_days	3,242

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 17 days ago
20/20	Version history — 223 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	tavern
ecosystems	pypi
any_deprecated	no
min_days_since_publish	17

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 — 1 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff]), tox.ini
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 28 out of 28 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://taverntesting.github.io/
10/10	Repository description
10/10	Topics — 8 topics
0/10	Wiki

Inputs used

topics	python, pytest, testing, test-automation, mqtt, http, grpc, grpc-python
has_wiki	no
homepage	https://taverntesting.github.io/
docs_site	https://taverntesting.github.io/
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?

77Good · 16% of overall

Security posture

71Good

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 — 28 out of 28 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
1.5/7.5	Code-Review — Found 5/17 approved changesets -- score normalized to 2
2.5/2.5	Contributors — project has 4 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 2 issue activity found in the last 90 days -- score normalized to 10
0/5	Packaging — no data
1.5/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
4/5	SAST — SAST tool is not run on all commits -- score normalized to 8
0/5	Security-Policy — security policy file not detected
0/7.5	Signed-Releases — no data
7.5/7.5	Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5	Vulnerabilities — 0 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	16
scorecard_version	v5.5.0
checks_inconclusive	2
scorecard_aggregate	7.1

Excluded from scoring (no data or not applicable): Packaging, 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
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	26
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:tavern@3.6.3 runtime dependency closure — what installing the published package pulls in — 26 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.

70Good · 4% of overall

Agent context & guidance

85Excellent

How it's scored

45/45	Agent instructions — AGENTS.md
0/15	Machine-readable docs (llms.txt)
39.8/40	Legible commit history — 59 of 79 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.747
agent_instruction_files	AGENTS.md
agent_instruction_max_bytes	6,156

Verify loop (build / test / typecheck)

54Moderate

How it's scored

0/18	One-command bootstrap
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff]), tox.ini
0/11	Static type checking
10/10	Reproducible environment — Dockerfile, lockfile
0/10	Demonstrated agent practice — no agent-authored commits among the last 100
8/8	Automated maintenance — 21 of the last 100 commits are automated dependency updates
3/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3

Inputs used

has_nix	no
has_tests	yes
lockfiles	uv.lock
has_dockerfile	yes
typed_language	no
bootstrap_files	—
has_devcontainer	no
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0
toolchain_manifests	—
dependency_bot_commit_share	0.21

Code legibility for models

55Moderate

How it's scored

0/45	Type-checkable code — Python without a type-check config
55/55	Manageable file sizes — 0/109 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	22,357
source_files_sampled	109
oversized_source_files	0

Machine-readable interfaces

100Exceptional

How it's scored

40/40	API schema (OpenAPI/GraphQL/proto) — example/graphql/tests/multiple_operations.graphql, example/grpc/helloworld_v1_precompiled.proto, example/grpc/helloworld_v2_compiled.proto, example/grpc/helloworld_v3_reflected.proto, tests/unit/tavern_grpc/test_services.proto
0/20	MCP server — not applicable to this kind of software
40/40	Runnable examples — example

Inputs used

example_dirs	example
has_mcp_signal	no
api_schema_files	example/graphql/tests/multiple_operations.graphql, example/grpc/helloworld_v1_precompiled.proto, example/grpc/helloworld_v2_compiled.proto, example/grpc/helloworld_v3_reflected.proto, tests/unit/tavern_grpc/test_services.proto
interfaces_expected_of	—

Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

1,161GitHub stars

62contributors

91commits, last 12 months

6days since last push

72releases

1bus factor

16open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 201 ⇿

0Stars

201Forks

70Releases

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

Major 2Minor 33Patch 35

Each point covers 8 days.

OpenSSF Scorecard 7.1 / 10

7.1aggregate

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 · 2026-09-17 23:15 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	28 out of 28 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
2	Code-Review	Found 5/17 approved changesets -- score normalized to 2
10	Contributors	project has 4 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 2 issue activity found in the last 90 days -- score normalized to 10
n/a	Packaging	packaging workflow not detected
3	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 3
8	SAST	SAST tool is not run on all commits -- score normalized to 8
0	Security-Policy	security policy file not detected
n/a	Signed-Releases	no releases found
10	Token-Permissions	GitHub workflow tokens follow principle of least privilege
10	Vulnerabilities	0 existing vulnerabilities detected

Direct dependencies 10

Registry	Package	Version constraint	Manifest
PyPI	PyYAML	`>=6.0.1,<7`	pyproject.toml
PyPI	jmespath	`>=1,<2`	pyproject.toml
PyPI	jsonschema	`>=4,<5`	pyproject.toml
PyPI	pyjwt	`>=2.5.0,<3`	pyproject.toml
PyPI	pykwalify	`>=1.8.0,<2`	pyproject.toml
PyPI	pytest	`>=8,<10`	pyproject.toml
PyPI	python-box	`>=6,<8`	pyproject.toml
PyPI	requests	`>=2.22.0,<3`	pyproject.toml
PyPI	simpleeval	`>=1.0.3`	pyproject.toml
PyPI	stevedore	`>=4,<6`	pyproject.toml

All dependencies 158

Full resolved dependency set from the GitHub dependency graph: 11 direct and 147 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	jmespath	`1.1.0`	direct
PyPI	jsonschema	`4.26.0`	direct
PyPI	pyjwt	`—`	direct
PyPI	pyjwt	`2.13.0`	direct
PyPI	pykwalify	`1.8.0`	direct
PyPI	pytest	`9.1.1`	direct
PyPI	python-box	`7.4.1`	direct
PyPI	pyyaml	`6.0.3`	direct
PyPI	requests	`2.34.2`	direct
PyPI	simpleeval	`1.0.7`	direct
PyPI	stevedore	`5.9.1`	direct
PyPI	aiohappyeyeballs	`2.7.1`	indirect
PyPI	aiohttp	`3.14.3`	indirect
PyPI	aiosignal	`1.4.0`	indirect
PyPI	allure-pytest	`2.16.0`	indirect
PyPI	allure-python-commons	`2.16.0`	indirect
PyPI	annotated-doc	`0.0.5`	indirect
PyPI	annotated-types	`0.8.0`	indirect
PyPI	anyio	`4.14.2`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	backoff	`2.2.1`	indirect
PyPI	blinker	`1.9.0`	indirect
PyPI	cachetools	`7.1.7`	indirect
PyPI	certifi	`2026.7.22`	indirect
PyPI	cffi	`2.1.1`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	charset-normalizer	`3.5.1`	indirect
PyPI	cli-ui	`0.19.0`	indirect
PyPI	click	`8.4.2`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	colorlog	`6.12.0`	indirect
PyPI	coverage	`7.15.4`	indirect
PyPI	cross-web	`0.7.0`	indirect
PyPI	cryptography	`50.0.0`	indirect
PyPI	distlib	`0.4.3`	indirect
PyPI	docopt	`0.6.2`	indirect
PyPI	docutils	`0.23`	indirect
PyPI	exceptiongroup	`1.3.1`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	faker	`40.38.0`	indirect
PyPI	fastapi	`0.141.1`	indirect
PyPI	filelock	`3.32.3`	indirect
PyPI	flask	`—`	indirect
PyPI	flask	`3.1.3`	indirect
PyPI	flask-httpauth	`4.8.1`	indirect
PyPI	flit	`4.0.2`	indirect
PyPI	flit-core	`4.0.2`	indirect
PyPI	fluent-logger	`—`	indirect
PyPI	fluent-logger	`0.11.1`	indirect
PyPI	frozenlist	`1.8.0`	indirect
PyPI	google-api-core	`2.33.0`	indirect
PyPI	google-api-python-client	`2.200.0`	indirect
PyPI	google-auth	`2.56.3`	indirect
PyPI	google-auth-httplib2	`0.4.1`	indirect
PyPI	googleapis-common-protos	`1.75.0`	indirect
PyPI	gql	`4.0.0`	indirect
PyPI	graphql-core	`3.2.11`	indirect
PyPI	greenlet	`3.5.5`	indirect
PyPI	grpc-interceptor	`—`	indirect
PyPI	grpc-interceptor	`0.15.4`	indirect
PyPI	grpcio	`1.83.1`	indirect
PyPI	grpcio-reflection	`1.83.1`	indirect
PyPI	grpcio-status	`1.83.1`	indirect
PyPI	grpcio-tools	`—`	indirect
PyPI	grpcio-tools	`1.83.1`	indirect
PyPI	gunicorn	`—`	indirect
PyPI	gunicorn	`26.2.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	httplib2	`0.32.0`	indirect
PyPI	httptools	`0.8.0`	indirect
PyPI	hypothesis	`6.167.1`	indirect
PyPI	identify	`2.6.19`	indirect
PyPI	idna	`3.19`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	itsdangerous	`2.2.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	msgpack	`1.2.1`	indirect
PyPI	multidict	`6.7.1`	indirect
PyPI	mystmd	`1.3.6`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	packaging	`26.3`	indirect
PyPI	paho-mqtt	`1.6.1`	indirect
PyPI	pip	`26.2.1`	indirect
PyPI	platformdirs	`4.11.3`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	pre-commit	`4.6.2`	indirect
PyPI	propcache	`0.5.2`	indirect
PyPI	proto-plus	`1.28.4`	indirect
PyPI	protobuf	`7.36.1`	indirect
PyPI	protobuf-protoc-bin	`29.6`	indirect
PyPI	py	`1.11.0`	indirect
PyPI	pyasn1	`0.6.4`	indirect
PyPI	pyasn1-modules	`0.4.2`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydantic	`—`	indirect
PyPI	pydantic	`2.13.5`	indirect
PyPI	pydantic-core	`2.46.5`	indirect
PyPI	pygments	`2.21.0`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pyproject-api	`1.11.0`	indirect
PyPI	pytest-asyncio	`1.4.0`	indirect
PyPI	pytest-cov	`7.1.0`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-discovery	`1.5.2`	indirect
PyPI	python-dotenv	`1.2.3`	indirect
PyPI	python-multipart	`0.0.32`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	rpds-py	`2026.6.3`	indirect
PyPI	ruamel-yaml	`0.18.17`	indirect
PyPI	ruamel-yaml-clib	`0.2.15`	indirect
PyPI	ruff	`0.16.6`	indirect
PyPI	schema	`0.7.8`	indirect
PyPI	sentinel	`1.0.0`	indirect
PyPI	setuptools	`84.0.0`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	sortedcontainers	`2.4.0`	indirect
PyPI	sqlakeyset	`2.0.1775222100`	indirect
PyPI	sqlalchemy	`—`	indirect
PyPI	sqlalchemy	`2.0.52`	indirect
PyPI	starlette	`1.6.0`	indirect
PyPI	strawberry-graphql	`0.324.0`	indirect
PyPI	strawberry-sqlalchemy-mapper	`0.9.0`	indirect
PyPI	tabulate	`0.9.0`	indirect
PyPI	tavern-graphql-example	`0.1.0`	indirect
PyPI	tavern-grpc-example	`0.1.0`	indirect
PyPI	tavern-http-example	`0.1.0`	indirect
PyPI	tavern-mqtt-example	`0.1.0`	indirect
PyPI	tbump	`6.11.0`	indirect
PyPI	tomli	`2.4.1`	indirect
PyPI	tomli-w	`1.2.0`	indirect
PyPI	tomlkit	`0.11.8`	indirect
PyPI	tox	`4.61.2`	indirect
PyPI	tox-uv	`1.36.0`	indirect
PyPI	tox-uv-bare	`1.36.0`	indirect
PyPI	types-jmespath	`1.1.0.20260724`	indirect
PyPI	types-jsonschema	`4.26.0.20260518`	indirect
PyPI	types-paho-mqtt	`1.6.0.20240321`	indirect
PyPI	types-protobuf	`7.35.1.20260827`	indirect
PyPI	types-pyyaml	`6.0.12.20260815`	indirect
PyPI	types-requests	`2.33.0.20260712`	indirect
PyPI	typing-extensions	`4.16.0`	indirect
PyPI	typing-inspection	`0.4.4`	indirect
PyPI	tzdata	`2026.3`	indirect
PyPI	unidecode	`1.4.0`	indirect
PyPI	uritemplate	`4.2.0`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	uv	`0.12.9`	indirect
PyPI	uvicorn	`0.52.4`	indirect
PyPI	uvloop	`0.22.1`	indirect
PyPI	virtualenv	`21.7.4`	indirect
PyPI	watchfiles	`1.2.0`	indirect
PyPI	websockets	`17.1`	indirect
PyPI	werkzeug	`3.1.8`	indirect
PyPI	wheel	`0.48.0`	indirect
PyPI	yarl	`1.24.5`	indirect

Dependency advisories 0

Installing pypi:tavern@3.6.3 pulls in 26 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.

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

Metrics by category

Key facts

Data collection warnings

More detail

Feedback

Related records