Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-12 21:28 UTC

kedro-org / kedro

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

PythonApache-2.0★ 10,954 stars⑂ 1,066 forkssince Apr 2019View on GitHub ↗

KindCommand-line toolLibraryhow this is determined

#kedro #hacktoberfest #mlops #python #machine-learning #machine-learning-engineering #agentic-ai #agentic-workflow #data-pipelines

kedro-org/kedro holds a health index of 99 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on Security (67/100). It was last updated today. 8 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 90 is calibrated to 99 on the published index scale (record calibration 2026-08-02).

Ownership

KedroOrganization

316 followers21 public repossince Oct 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	Tags
PyPI	kedro	1.5.0	-	71	44 days ago	pipelines machine-learning data-pipelines data-science data-engineering

Metrics by category

Vitality

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

99Exceptional · 21% of overall

Development activity

99Exceptional

How it's scored

36/36	Push recency — last push 0 days ago
34.6/36	Commit cadence — 50/52 weeks with commits
18/18	Commit volume — 248 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	248
human_commit_share	0.89
days_since_last_push	0
active_weeks_last_year	50

Release discipline

100Exceptional

How it's scored

27/27	Ships releases — 71 releases published
36/36	Release recency — latest release 44 days ago
27/27	Release cadence — a release every ~38.1 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	71
latest_release_tag	1.5.0
releases_from_tags	no
days_since_latest_release	44
mean_days_between_releases	38.1

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?

94Exceptional · 17% of overall

Popularity & adoption

96Exceptional

How it's scored

60/60	Stars — 10,954 stars
25/25	Forks — 1,066 forks
11.1/15	Watchers — 101 watchers

Inputs used

forks	1,066
stars	10,954
watchers	101
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 (Apache-2.0)
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	11
has_contributing	yes
has_issue_template	no
has_code_of_conduct	yes
readme_badge_services	badge.fury.io, bestpractices.coreinfrastructure.org, readthedocs.org, shields.io
has_pull_request_template	yes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

91Excellent · 23% of overall

Maintainer resilience (bus factor)

97Exceptional

How it's scored

54/54	Bus factor — 8 contributor(s) cover half of all commits
19.6/22.5	Commit distribution — top contributor authored 13% of commits
13.5/13.5	Contributor breadth — 98 contributors
10/10	OpenSSF Scorecard: Contributors — project has 27 contributing companies or organizations

Inputs used

bus_factor	8
contributors_sampled	98
top_contributor_share	0.13

Issue & PR responsiveness

85Excellent

How it's scored

39.7/42	Issue resolution — 95% of issues closed
23.4/30	PR acceptance — 2,057/2,634 decided PRs merged
6.5/13	Newcomer PR acceptance — 7/14 first-time contributors' PRs merged in 30d
15/15	OpenSSF Scorecard: Code-Review — all changesets reviewed

Inputs used

merged_prs	2,057
open_issues	141
closed_issues	2,490
prs_merged_7d	6
prs_decided_7d	7
prs_merged_30d	19
prs_decided_30d	36
issue_closed_ratio	0.946
closed_unmerged_prs	577
first_time_authors_30d	8
first_time_prs_merged_30d	7
first_time_prs_decided_30d	14

Ownership & stewardship

84Excellent

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain — verified-domain status not read for this organization
18/25	Owner reach — 316 followers of kedro-org
19.3/25	Track record — 21 public repos, account ~4 yr old

Inputs used

followers	316
owner_type	Organization
is_verified	—
owner_login	kedro-org
public_repos	21
account_age_days	1,748

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 44 days ago
20/20	Version history — 71 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	kedro
ecosystems	pypi
any_deprecated	no
min_days_since_publish	44

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 — 18 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 — 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://kedro.org
10/10	Repository description
10/10	Topics — 9 topics
10/10	Wiki

Inputs used

topics	kedro, hacktoberfest, mlops, python, machine-learning, machine-learning-engineering, agentic-ai, agentic-workflow, data-pipelines
has_wiki	yes
homepage	https://kedro.org
docs_site	https://kedro.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?

67Good · 16% of overall

Security posture

59Moderate

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — no data
2.5/2.5	CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
1.2/2.5	CII-Best-Practices — badge detected: Passing
7.5/7.5	Code-Review — all changesets reviewed
2.5/2.5	Contributors — project has 27 contributing companies or organizations
0/10	Dangerous-Workflow — 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 8 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
3/5	SAST — SAST tool is not run on all commits -- score normalized to 6
5/5	Security-Policy — security policy file detected
0/7.5	Signed-Releases — no data
1.5/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5	Vulnerabilities — 14 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	16
scorecard_version	v5.5.0
checks_inconclusive	2
scorecard_aggregate	5.9

Excluded from scoring (no data or not applicable): Branch-Protection, 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	39
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:kedro@1.5.0 runtime dependency closure — what installing the published package pulls in — 39 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.

71Good · 4% of overall

Agent context & guidance

40Weak

How it's scored

0/45	Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15	Machine-readable docs (llms.txt)
40/40	Legible commit history — 89 of 89 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	1
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

80Excellent

How it's scored

18/18	One-command bootstrap — Makefile, kedro/templates/project/{{ cookiecutter.repo_name }}/docs/Makefile
22/22	Automated tests
11/11	Lint / format config
11/11	Static type checking — kedro/py.typed
0/10	Reproducible environment
10/10	Demonstrated agent practice — 7 of the last 100 commits agent-authored or agent-credited
8/8	Automated maintenance — 11 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	—
has_dockerfile	no
typed_language	no
bootstrap_files	Makefile, kedro/templates/project/{{ cookiecutter.repo_name }}/docs/Makefile
has_devcontainer	no
has_linter_config	yes
typecheck_configs	kedro/py.typed
agent_commit_share	0.07
toolchain_manifests	—
dependency_bot_commit_share	0.11

Code legibility for models

82Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (kedro/py.typed)
54.8/55	Manageable file sizes — 1/226 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	64,289
source_files_sampled	226
oversized_source_files	1

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 — notebooks

Inputs used

example_dirs	notebooks
has_mcp_signal	no
api_schema_files	—
interfaces_expected_of	—

Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

10,954GitHub stars

98contributors

248commits, last 12 months

0days since last push

71releases

8bus factor

141open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
First-time contributor figures cover 12 of 21 authors (cap 12)

More detail

Star and fork history 0 ★ / 1,066 ⇿

0Stars

1,066Forks

68Releases

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

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

Major 1Minor 10Patch 54

Each point covers 7 days.

OpenSSF Scorecard 5.9 / 10

5.9aggregate

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 21:27 UTC

10	Binary-Artifacts	no binaries found in the repo
n/a	Branch-Protection	internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10	CI-Tests	30 out of 30 merged PRs checked by a CI test -- score normalized to 10
5	CII-Best-Practices	badge detected: Passing
10	Code-Review	all changesets reviewed
10	Contributors	project has 27 contributing companies or organizations
0	Dangerous-Workflow	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 8 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
6	SAST	SAST tool is not run on all commits -- score normalized to 6
10	Security-Policy	security policy file detected
n/a	Signed-Releases	no releases found
2	Token-Permissions	detected GitHub workflow tokens with excessive permissions
0	Vulnerabilities	14 existing vulnerabilities detected

Direct dependencies 17

Registry	Package	Version constraint	Manifest
PyPI	attrs	`>=21.3`	pyproject.toml
PyPI	build	`>=0.7.0`	pyproject.toml
PyPI	click	`>=8.2`	pyproject.toml
PyPI	cookiecutter	`>=2.1.1,<3.0`	pyproject.toml
PyPI	dynaconf	`>=3.1.2,<4.0`	pyproject.toml
PyPI	fsspec	`>=2021.4`	pyproject.toml
PyPI	gitpython	`>=3.0`	pyproject.toml
PyPI	kedro-telemetry	`>=0.5.0`	pyproject.toml
PyPI	more_itertools	`>=8.14.0`	pyproject.toml
PyPI	omegaconf	`>=2.1.1`	pyproject.toml
PyPI	parse	`>=1.19.0`	pyproject.toml
PyPI	pluggy	`>=1.0`	pyproject.toml
PyPI	PyYAML	`>=4.2,<7.0`	pyproject.toml
PyPI	rich	`>=12.0,<16.0`	pyproject.toml
PyPI	tomli	`>=1.1.0`	pyproject.toml
PyPI	tomli-w	`—`	pyproject.toml
PyPI	typing_extensions	`>=4.0`	pyproject.toml

All dependencies 44

Full resolved dependency set from the GitHub dependency graph: 15 direct and 29 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	attrs	`—`	direct
PyPI	build	`—`	direct
PyPI	click	`—`	direct
PyPI	cookiecutter	`—`	direct
PyPI	dynaconf	`—`	direct
PyPI	fsspec	`—`	direct
PyPI	gitpython	`—`	direct
PyPI	kedro-telemetry	`—`	direct
PyPI	more-itertools	`—`	direct
PyPI	omegaconf	`—`	direct
PyPI	parse	`—`	direct
PyPI	pluggy	`—`	direct
PyPI	pyyaml	`—`	direct
PyPI	rich	`—`	direct
PyPI	typing-extensions	`—`	direct
PyPI	behave	`—`	indirect
PyPI	detect-secrets	`—`	indirect
PyPI	fastapi	`—`	indirect
PyPI	import-linter	`—`	indirect
PyPI	ipylab	`—`	indirect
PyPI	ipython	`—`	indirect
PyPI	jupyter	`—`	indirect
PyPI	jupyterlab	`—`	indirect
PyPI	jupyterlab-server	`—`	indirect
PyPI	mkdocs	`—`	indirect
PyPI	mkdocs-autorefs	`—`	indirect
PyPI	mkdocs-get-deps	`—`	indirect
PyPI	mkdocs-material	`—`	indirect
PyPI	mkdocs-material-extensions	`—`	indirect
PyPI	mkdocs-mermaid2-plugin	`—`	indirect
PyPI	mkdocstrings	`—`	indirect
PyPI	mkdocstrings-python	`—`	indirect
PyPI	mypy	`—`	indirect
PyPI	notebook	`—`	indirect
PyPI	pandas	`—`	indirect
PyPI	pre-commit	`—`	indirect
PyPI	pydantic	`—`	indirect
PyPI	pytest	`—`	indirect
PyPI	pytest-cov	`—`	indirect
PyPI	pytest-mock	`—`	indirect
PyPI	pytest-xdist	`—`	indirect
PyPI	s3fs	`—`	indirect
PyPI	setuptools	`—`	indirect
PyPI	uvicorn	`—`	indirect

Dependency advisories 0

Installing pypi:kedro@1.5.0 pulls in 39 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 v0.31.0 — 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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