Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-19 17:47 UTC

krkn-chaos / krkn

Chaos and resiliency testing tool for Kubernetes with a focus on improving performance under failure conditions. A CNCF sandbox project.

PythonApache-2.0★ 510 stars⑂ 249 forkssince Apr 2020View on GitHub ↗

krkn-chaos/krkn holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (95/100) and lowest on Security (62/100). It was last updated today. 3 contributors account for most of its recent work.

94
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.

94
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)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

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 80 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

krkn-chaosOrganization
56 followers36 public repossince Jan 2024

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIkraken7.1.112,07211245 days agohtrocr

Metrics by category

Vitality

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

95Exceptional · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
34.6/36Commit cadence — 50/52 weeks with commits
18/18Commit volume — 296 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year296
human_commit_share0.92
days_since_last_push0
active_weeks_last_year50
How it's scored
27/27Ships releases — 94 releases published
36/36Release recency — latest release 16 days ago
27/27Release cadence — a release every ~7.4 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count94
latest_release_tagv5.2.12
releases_from_tagsno
days_since_latest_release16
mean_days_between_releases7.4

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

81Excellent · 17% of overall
How it's scored
43.9/60Stars — 510 stars
20/25Forks — 249 forks
6.7/15Watchers — 17 watchers
Inputs used
forks249
stars510
watchers17
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io, www.bestpractices.dev
has_pull_request_templateyes

Sustainability & Governance

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

77Good · 23% of overall
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
15.9/22.5Commit distribution — top contributor authored 30% of commits
13.5/13.5Contributor breadth — 96 contributors
10/10OpenSSF Scorecard: Contributors — project has 26 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled96
top_contributor_share0.295
How it's scored
31.2/42Issue resolution — 74% of issues closed
23/30PR acceptance — 888/1,156 decided PRs merged
13/13Newcomer PR acceptance — 6/6 first-time contributors' PRs merged in 30d
10.5/15OpenSSF Scorecard: Code-Review — Found 22/30 approved changesets -- score normalized to 7
Inputs used
merged_prs888
open_issues115
closed_issues335
prs_merged_7d3
prs_decided_7d4
prs_merged_30d20
prs_decided_30d21
issue_closed_ratio0.744
closed_unmerged_prs268
first_time_authors_30d5
first_time_prs_merged_30d6
first_time_prs_decided_30d6
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
12.6/25Owner reach — 56 followers of krkn-chaos
17/25Track record — 36 public repos, account ~2 yr old
Inputs used
followers56
owner_typeOrganization
is_verifiedno
owner_loginkrkn-chaos
public_repos36
account_age_days1,020

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 45 days ago
20/20Version history — 112 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageskraken
ecosystemspypi
any_deprecatedno
min_days_since_publish45

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall
How it's scored
24/24CI workflows — 12 workflow(s)
24/24Tests present
16/16Linter config — setup.cfg ([flake8])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://krkn-chaos.dev
10/10Repository description
10/10Topics — 8 topics
0/10Wiki
Inputs used
topicschaos-engineering, resiliency, testing, kubernetes, performance, scalability, containers, reliability
has_wikino
homepagehttps://krkn-chaos.dev
docs_sitehttps://krkn-chaos.dev
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

62Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0.5/2.5CII-Best-Practices — badge detected: InProgress
5.2/7.5Code-Review — Found 22/30 approved changesets -- score normalized to 7
2.5/2.5Contributors — project has 26 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 32 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6
Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized.
How it's scored
13.2/35Direct dependencies free of known advisories — 1 affected: lightning 2.6.1 (high 7.8)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
33.5/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 95 days ago
Inputs used
sourceosv
advisories2
affected_packages1
assessed_packages89
unassessed_packages0
affected_by_severityhigh 1
direct_affected_packages1
Matched the pypi:kraken@7.1.1 runtime dependency closure — what installing the published package pulls in — 89 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.

79Good · 4% of overall
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 90 of 92 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.978
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes9,246
How it's scored
18/18One-command bootstrap — CI/tests_v2/Makefile
22/22Automated tests
11/11Lint / format config — setup.cfg ([flake8])
0/11Static type checking
10/10Reproducible environment — Dockerfile
10/10Demonstrated agent practice — 20 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 2 of the last 100 commits are automated dependency updates
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_filesCI/tests_v2/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.2
toolchain_manifests—
dependency_bot_commit_share0.02
How it's scored
0/45Type-checkable code — Python without a type-check config
54.8/55Manageable file sizes — 1/248 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes62,304
source_files_sampled248
oversized_source_files1

Key facts

510GitHub stars
96contributors
296commits, last 12 months
0days since last push
94releases
3bus factor
115open 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 ★ / 249 ⇿
0Stars
249Forks
94Releases

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.

050100150200250246112020-042023-072026-10
Major 5Minor 8Patch 79

Each point covers 6 days.

OpenSSF Scorecard 6.0 / 10
6.0aggregate

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 · 2026-10-19 17:46 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal 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
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
2CII-Best-Practicesbadge detected: InProgress
7Code-ReviewFound 22/30 approved changesets -- score normalized to 7
10Contributorsproject has 26 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities32 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPIPyYAML—setup.cfg
All dependencies 46

Full resolved dependency set from the GitHub dependency graph: 1 direct and 45 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIpyyaml6.0.1direct
PyPIaliyun-python-sdk-core2.16.1indirect
PyPIaliyun-python-sdk-ecs4.24.25indirect
PyPIarcaflow-plugin-sdk0.14.3indirect
PyPIazure-identity1.16.1indirect
PyPIazure-keyvault4.2.0indirect
PyPIazure-mgmt-compute30.5.0indirect
PyPIazure-mgmt-network27.0.0indirect
PyPIboto3—indirect
PyPIcbor2—indirect
PyPIcolorlog6.10.1indirect
PyPIcoverage7.6.12indirect
PyPIcryptography—indirect
PyPIdatetime5.4indirect
PyPIdocker—indirect
PyPIgitpython3.1.52indirect
PyPIgoogle-auth2.37.0indirect
PyPIgoogle-cloud-compute1.22.0indirect
PyPIibm-cloud-sdk-core—indirect
PyPIibm-vpc0.26.3indirect
PyPIjaraco-context—indirect
PyPIjinja23.1.6indirect
PyPIkrkn-lib7.0.3indirect
PyPIkubernetes—indirect
PyPIlxml6.1.0indirect
PyPInumpy1.26.4indirect
PyPIopenshift-client1.0.21indirect
PyPIpandas2.2.0indirect
PyPIparamiko—indirect
PyPIprotobuf—indirect
PyPIpyfiglet1.0.2indirect
PyPIpytest9.0.3indirect
PyPIpytest-html—indirect
PyPIpytest-order—indirect
PyPIpytest-rerunfailures—indirect
PyPIpytest-timeout—indirect
PyPIpytest-xdist—indirect
PyPIpython-ipmi0.5.4indirect
PyPIpython-openstackclient6.5.0indirect
PyPIpyvmomi8.0.2.0.1indirect
PyPIreportlab—indirect
PyPIrequests—indirect
PyPIservice-identity24.1.0indirect
PyPIsetuptools—indirect
PyPIurllib3—indirect
PyPIwheel—indirect
Dependency advisories 1

Installing pypi:kraken@7.1.1 pulls in 89 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
lightning2.6.1directhigh22.6.6

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.

The message is kept through sign-in.

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.