Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-15 05:58 UTC

Kurrawong / kurra

PythonBSD-3-Clause★ 1 star⑂ 1 forksince Jun 2023View on GitHub ↗

KindCommand-line toolLibraryhow this is determined

Kurrawong/kurra holds a health index of 67 out of 100, placing it in the Good band. It scores highest on Vitality (86/100) and lowest on Community & Adoption (33/100). It was last updated 24 days ago. A single contributor accounts for most of its recent work.

overall / 100

Good

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 61 is calibrated to 67 on the published index scale (record calibration 2026-08-02).

Ownership

KurrawongAIOrganization

20 followers155 public repossince Sep 2021

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	kurra	3.0.6	3,369	64	24 days ago

Metrics by category

Vitality

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

86Excellent · 21% of overall

Development activity

76Good

How it's scored

28.8/36	Push recency — last push 24 days ago
18.7/36	Commit cadence — 27/52 weeks with commits
18/18	Commit volume — 157 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	157
human_commit_share	1
days_since_last_push	24
active_weeks_last_year	27

Release discipline

100Exceptional

How it's scored

27/27	Ships releases — 55 releases published
36/36	Release recency — latest release 24 days ago
27/27	Release cadence — a release every ~6.3 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	55
latest_release_tag	3.0.6
releases_from_tags	no
days_since_latest_release	24
mean_days_between_releases	6.3

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?

33At Risk · 17% of overall

Popularity & adoption

1Critical

How it's scored

0/60	Stars — 1 stars
0/25	Forks — 1 forks
0/15	Watchers — 2 watchers

Inputs used

forks	1
stars	1
watchers	2
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

50Moderate

How it's scored

22.5/22.5	README
22.5/22.5	License — recognized license (BSD-3-Clause)
0/18	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	0
has_contributing	no
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	—
has_pull_request_template	no

Ecosystem adoption (downloads)

59Moderate

How it's scored

47/80	Monthly downloads — 3,369 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	kurra
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	3,369
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?

63Moderate · 23% of overall

Maintainer resilience (bus factor)

27At Risk

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
5.7/22.5	Commit distribution — top contributor authored 75% of commits
2.7/13.5	Contributor breadth — 2 contributors
10/10	OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	2
top_contributor_share	0.746

Issue & PR responsiveness

77Good

How it's scored

37/42	Issue resolution — 88% of issues closed
30/30	PR acceptance — 25/25 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15	OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0

Inputs used

merged_prs	25
open_issues	2
closed_issues	15
prs_merged_7d	0
prs_decided_7d	0
prs_merged_30d	0
prs_decided_30d	0
issue_closed_ratio	0.882
closed_unmerged_prs	0
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

63Moderate

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
9.5/25	Owner reach — 20 followers of Kurrawong
23.1/25	Track record — 155 public repos, account ~5 yr old

Inputs used

followers	20
owner_type	Organization
is_verified	no
owner_login	Kurrawong
public_repos	155
account_age_days	1,839

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 24 days ago
20/20	Version history — 64 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	kurra
ecosystems	pypi
any_deprecated	no
min_days_since_publish	24

Engineering Quality

Are baseline engineering and documentation practices in place?

76Good · 19% of overall

Engineering practices

80Excellent

How it's scored

24/24	CI workflows — 4 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff])
0/9.6	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	no

Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

70Good

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://docs.kurrawong.ai/tools/kurra
0/10	Repository description
0/10	Topics
0/10	Wiki

Inputs used

topics	—
has_wiki	no
homepage	—
docs_site	https://docs.kurrawong.ai/tools/kurra
has_readme	yes
has_docs_dir	yes
has_description	no

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

41Weak · 16% of overall

Security posture

26At Risk

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
0/2.5	CI-Tests — no data
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5	Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5	Contributors — project has 4 contributing companies or organizations
0/10	Dangerous-Workflow — dangerous workflow patterns detected
0/7.5	Dependency-Update-Tool — no update tool detected
0/5	Fuzzing — project is not fuzzed
2.5/2.5	License — license file detected
7.5/7.5	Maintained — 30 commit(s) and 0 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 — no SAST tool detected
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
0/7.5	Vulnerabilities — 13 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	16
scorecard_version	v5.5.0
checks_inconclusive	2
scorecard_aggregate	2.6

Excluded from scoring (no data or not applicable): CI-Tests, 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	27
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:kurra@3.0.6 runtime dependency closure — what installing the published package pulls in — 27 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.

41Weak · 4% of overall

Agent context & guidance

8Critical

How it's scored

0/45	Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15	Machine-readable docs (llms.txt)
8.5/40	Legible commit history — 16 of 100 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.16
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

61Moderate

How it's scored

18/18	One-command bootstrap — Taskfile.yml
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
0/11	Static type checking
10/10	Reproducible environment — lockfile
0/10	Demonstrated agent practice — no agent-authored commits among the last 100
0/8	Automated maintenance — no automated dependency updates observed
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	pnpm-lock.yaml, uv.lock
has_dockerfile	no
typed_language	no
bootstrap_files	Taskfile.yml
has_devcontainer	no
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0
toolchain_manifests	—
dependency_bot_commit_share	0

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 — 0/48 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	22,470
source_files_sampled	48
oversized_source_files	0

Key facts

1GitHub stars

2contributors

157commits, last 12 months

24days since last push

55releases

1bus factor

2open issues

npm, PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
pypi download statistics for 'kurra' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
pypi download figures for kurra carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

OpenSSF Scorecard 2.6 / 10

2.6aggregate

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 · 2026-09-15 05:58 UTC

10	Binary-Artifacts	no binaries found in the repo
0	Branch-Protection	branch protection not enabled on development/release branches
n/a	CI-Tests	no pull request found
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
0	Code-Review	Found 0/30 approved changesets -- score normalized to 0
10	Contributors	project has 4 contributing companies or organizations
0	Dangerous-Workflow	dangerous workflow patterns detected
0	Dependency-Update-Tool	no update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
10	Maintained	30 commit(s) and 0 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	no SAST tool detected
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
0	Vulnerabilities	13 existing vulnerabilities detected

Direct dependencies 7

Registry	Package	Version constraint	Manifest
PyPI	httpx	`>=0.28.1`	pyproject.toml
PyPI	rdflib	`>=7.6.0`	pyproject.toml
PyPI	rich	`>=13.9.4`	pyproject.toml
PyPI	typer	`>=0.27`	pyproject.toml
PyPI	pyshacl	`>=0.31.0`	pyproject.toml
PyPI	shacl-rules	`>=0.1.3`	pyproject.toml
PyPI	sparqlib	`>=0.5.0`	pyproject.toml

All dependencies 168

Full resolved dependency set from the GitHub dependency graph: 7 direct and 161 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	httpx	`0.28.1`	direct
PyPI	pyshacl	`0.31.0`	direct
PyPI	rdflib	`7.6.0`	direct
PyPI	rich	`15.0.0`	direct
PyPI	shacl-rules	`0.1.4`	direct
PyPI	sparqlib	`0.5.0`	direct
PyPI	typer	`0.27.1`	direct
npm	@babel/code-frame	`7.26.2`	indirect
npm	@babel/helper-validator-identifier	`7.25.9`	indirect
npm	@commitlint/cli	`19.6.1`	indirect
npm	@commitlint/config-conventional	`19.6.0`	indirect
npm	@commitlint/config-validator	`19.5.0`	indirect
npm	@commitlint/ensure	`19.5.0`	indirect
npm	@commitlint/execute-rule	`19.5.0`	indirect
npm	@commitlint/format	`19.5.0`	indirect
npm	@commitlint/is-ignored	`19.6.0`	indirect
npm	@commitlint/lint	`19.6.0`	indirect
npm	@commitlint/load	`19.6.1`	indirect
npm	@commitlint/message	`19.5.0`	indirect
npm	@commitlint/parse	`19.5.0`	indirect
npm	@commitlint/read	`19.5.0`	indirect
npm	@commitlint/resolve-extends	`19.5.0`	indirect
npm	@commitlint/rules	`19.6.0`	indirect
npm	@commitlint/to-lines	`19.5.0`	indirect
npm	@commitlint/top-level	`19.5.0`	indirect
npm	@commitlint/types	`19.5.0`	indirect
npm	@types/conventional-commits-parser	`5.0.1`	indirect
npm	@types/node	`22.10.5`	indirect
npm	ajv	`8.17.1`	indirect
npm	ansi-regex	`5.0.1`	indirect
npm	ansi-styles	`4.3.0`	indirect
npm	argparse	`2.0.1`	indirect
npm	array-ify	`1.0.0`	indirect
npm	callsites	`3.1.0`	indirect
npm	chalk	`5.4.1`	indirect
npm	cliui	`8.0.1`	indirect
npm	color-convert	`2.0.1`	indirect
npm	color-name	`1.1.4`	indirect
npm	commitlint	`19.6.1`	indirect
npm	compare-func	`2.0.0`	indirect
npm	conventional-changelog-angular	`7.0.0`	indirect
npm	conventional-changelog-conventionalcommits	`7.0.2`	indirect
npm	conventional-commits-parser	`5.0.0`	indirect
npm	cosmiconfig	`9.0.0`	indirect
npm	cosmiconfig-typescript-loader	`6.1.0`	indirect
npm	dargs	`8.1.0`	indirect
npm	dot-prop	`5.3.0`	indirect
npm	emoji-regex	`8.0.0`	indirect
npm	env-paths	`2.2.1`	indirect
npm	error-ex	`1.3.2`	indirect
npm	escalade	`3.2.0`	indirect
npm	fast-deep-equal	`3.1.3`	indirect
npm	fast-uri	`3.0.5`	indirect
npm	find-up	`7.0.0`	indirect
npm	get-caller-file	`2.0.5`	indirect
npm	git-raw-commits	`4.0.0`	indirect
npm	global-directory	`4.0.1`	indirect
npm	import-fresh	`3.3.0`	indirect
npm	import-meta-resolve	`4.1.0`	indirect
npm	ini	`4.1.1`	indirect
npm	is-arrayish	`0.2.1`	indirect
npm	is-fullwidth-code-point	`3.0.0`	indirect
npm	is-obj	`2.0.0`	indirect
npm	is-text-path	`2.0.0`	indirect
npm	jiti	`2.4.2`	indirect
npm	js-tokens	`4.0.0`	indirect
npm	js-yaml	`4.1.0`	indirect
npm	json-parse-even-better-errors	`2.3.1`	indirect
npm	json-schema-traverse	`1.0.0`	indirect
npm	jsonparse	`1.3.1`	indirect
npm	JSONStream	`1.3.5`	indirect
npm	lines-and-columns	`1.2.4`	indirect
npm	locate-path	`7.2.0`	indirect
npm	lodash.camelcase	`4.3.0`	indirect
npm	lodash.isplainobject	`4.0.6`	indirect
npm	lodash.kebabcase	`4.1.1`	indirect
npm	lodash.merge	`4.6.2`	indirect
npm	lodash.mergewith	`4.6.2`	indirect
npm	lodash.snakecase	`4.1.1`	indirect
npm	lodash.startcase	`4.4.0`	indirect
npm	lodash.uniq	`4.5.0`	indirect
npm	lodash.upperfirst	`4.3.1`	indirect
npm	meow	`12.1.1`	indirect
npm	minimist	`1.2.8`	indirect
npm	p-limit	`4.0.0`	indirect
npm	p-locate	`6.0.0`	indirect
npm	parent-module	`1.0.1`	indirect
npm	parse-json	`5.2.0`	indirect
npm	path-exists	`5.0.0`	indirect
npm	picocolors	`1.1.1`	indirect
npm	require-directory	`2.1.1`	indirect
npm	require-from-string	`2.0.2`	indirect
npm	resolve-from	`4.0.0`	indirect
npm	resolve-from	`5.0.0`	indirect
npm	semver	`7.6.3`	indirect
npm	split2	`4.2.0`	indirect
npm	string-width	`4.2.3`	indirect
npm	strip-ansi	`6.0.1`	indirect
npm	text-extensions	`2.4.0`	indirect
npm	through	`2.3.8`	indirect
npm	tinyexec	`0.3.2`	indirect
npm	typescript	`5.7.3`	indirect
npm	undici-types	`6.20.0`	indirect
npm	unicorn-magic	`0.1.0`	indirect
npm	wrap-ansi	`7.0.0`	indirect
npm	y18n	`5.0.8`	indirect
npm	yargs	`17.7.2`	indirect
npm	yargs-parser	`21.1.1`	indirect
npm	yocto-queue	`1.1.1`	indirect
PyPI	annotated-doc	`0.0.4`	indirect
PyPI	anyio	`4.13.0`	indirect
PyPI	certifi	`2026.4.22`	indirect
PyPI	charset-normalizer	`3.4.7`	indirect
PyPI	click	`8.4.0`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	deepmerge	`2.1.0`	indirect
PyPI	docker	`7.1.0`	indirect
PyPI	ghp-import	`2.1.0`	indirect
PyPI	griffelib	`2.1.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	html5rdf	`1.2.1`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	idna	`3.15`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	kurra	`3.0.6a0`	indirect
PyPI	lark	`1.3.1`	indirect
PyPI	markdown	`3.10.3`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mergedeep	`1.3.4`	indirect
PyPI	mkdocs	`1.6.1`	indirect
PyPI	mkdocs-autorefs	`1.4.4`	indirect
PyPI	mkdocs-get-deps	`0.2.2`	indirect
PyPI	mkdocstrings	`1.0.6`	indirect
PyPI	mkdocstrings-python	`2.0.5`	indirect
PyPI	numpy	`2.4.6`	indirect
PyPI	owlrl	`7.1.4`	indirect
PyPI	packaging	`26.2`	indirect
PyPI	pandas	`3.0.3`	indirect
PyPI	pathspec	`1.1.1`	indirect
PyPI	platformdirs	`4.11.0`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	prettytable	`3.17.0`	indirect
PyPI	pygments	`2.20.0`	indirect
PyPI	pymdown-extensions	`11.0.1`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pytest	`9.0.3`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-dotenv	`1.2.2`	indirect
PyPI	pywin32	`311`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyyaml-env-tag	`1.1`	indirect
PyPI	requests	`2.34.2`	indirect
PyPI	rich-click	`1.9.7`	indirect
PyPI	ruff	`0.15.13`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	testcontainers	`4.14.2`	indirect
PyPI	tomli	`2.4.1`	indirect
PyPI	typing-extensions	`4.15.0`	indirect
PyPI	tzdata	`2026.2`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	watchdog	`6.0.0`	indirect
PyPI	wcwidth	`0.7.0`	indirect
PyPI	wrapt	`2.1.2`	indirect
PyPI	zensical	`0.0.52`	indirect

Dependency advisories 0

Installing pypi:kurra@3.0.6 pulls in 27 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

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