Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-15 22:58 UTC

barndoor-ai / barndoor-python-sdk

Python SDK for Barndoor AI Platform

PythonMIT★ 1 star⑂ 0 forkssince Jul 2025View on GitHub ↗
KindLibraryCommand-line toolMCP serverhow this is determined
#sdk#sdk-python

barndoor-ai/barndoor-python-sdk holds a health index of 81 out of 100, placing it in the Excellent band. It scores highest on Vitality (87/100) and lowest on Community & Adoption (43/100). It was last updated today. A single contributor accounts for most of its recent work.

81
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.

81
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 69 is calibrated to 81 on the published index scale (record calibration 2026-08-02).

Ownership

Barndoor AIOrganization · verified domain
6 followers11 public repossince Dec 2024

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIbarndoor2.12.04,710250 days agobarndoormcpaisdkopenapi

Metrics by category

Vitality

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

87Excellent · 21% of overall

Development activity

79Good
How it's scored
36/36Push recency — last push 0 days ago
15.9/36Commit cadence — 23/52 weeks with commits
16.7/18Commit volume — 71 commits in the last year
10/10OpenSSF Scorecard: Maintained — 28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year71
human_commit_share0.68
days_since_last_push0
active_weeks_last_year23

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 18 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~24.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count18
latest_release_tagv2.12.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases24.5
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?

43Weak · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 1 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars1
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

78Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
7.2/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateyes
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

61Moderate
How it's scored
49/80Monthly downloads — 4,710 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesbarndoor
dependents—
ecosystemspypi
total_downloads—
monthly_downloads4,710
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?

59Moderate · 23% of overall

Maintainer resilience (bus factor)

38Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
10.3/22.5Commit distribution — top contributor authored 54% of commits
12.2/13.5Contributor breadth — 9 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled9
top_contributor_share0.541

Issue & PR responsiveness

42Weak
How it's scored
0/42Issue resolution — no issues or no data
16.7/30PR acceptance — 82/147 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
7.5/15OpenSSF Scorecard: Code-Review — Found 16/30 approved changesets -- score normalized to 5
Inputs used
merged_prs82
open_issues0
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d8
prs_decided_30d10
issue_closed_ratio—
closed_unmerged_prs65
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1
Excluded from scoring (no data or not applicable): Issue resolution. Remaining weights renormalized.

Ownership & stewardship

68Good
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
6.1/25Owner reach — 6 followers of barndoor-ai
11.5/25Track record — 11 public repos, account ~1 yr old
Inputs used
followers6
owner_typeOrganization
is_verifiedyes
owner_loginbarndoor-ai
public_repos11
account_age_days674

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 25 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesbarndoor
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.pylint])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 19 out of 19 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

Documentation

65Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://barndoor.ai
10/10Repository description
10/10Topics — 2 topics
0/10Wiki
Inputs used
topicssdk, sdk-python
has_wikino
homepage—
docs_sitehttps://barndoor.ai
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

74Good · 16% of overall

Security posture

68Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 19 out of 19 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3.8/7.5Code-Review — Found 16/30 approved changesets -- score normalized to 5
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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 — 28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
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 — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.8
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages43
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 43 resolved dependencies against OSV. 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.

70Good · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 62 of 68 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.912
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

78Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.pylint])
11/11Static type checking — barndoor/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 22 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 20 of the last 100 commits are automated dependency updates
6/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsbarndoor/py.typed
agent_commit_share0.22
toolchain_manifests—
dependency_bot_commit_share0.2

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (barndoor/py.typed)
53.8/55Manageable file sizes — 7/324 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes772,723
source_files_sampled324
oversized_source_files7

Machine-readable interfaces

100Exceptional
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — openapi.yaml
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_filesopenapi.yaml
interfaces_expected_of—

Key facts

1GitHub stars
9contributors
71commits, last 12 months
0days since last push
18releases
1bus factor
0open 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:barndoor@2.12.0; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 6.8 / 10
6.8aggregate

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 · 2026-10-15 22:58 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests19 out of 19 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 16/30 approved changesets -- score normalized to 5
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPIpython-dateutil>= 2.8.2pyproject.toml
PyPIhttpx2>= 2.13pyproject.toml
PyPIpydantic>= 2.11pyproject.toml
PyPItyping-extensions>= 4.7.1pyproject.toml
PyPIauthlib>= 1.3.2pyproject.toml
PyPImcp>= 2.2, < 3pyproject.toml
All dependencies 43

Full resolved dependency set from the GitHub dependency graph: 6 direct and 37 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIauthlib1.8.0direct
PyPIhttpx22.13.1direct
PyPImcp2.2.0direct
PyPIpydantic2.13.5direct
PyPIpython-dateutil2.9.0.post0direct
PyPItyping-extensions4.16.0direct
PyPIannotated-types0.8.0indirect
PyPIanyio4.15.1indirect
PyPIattrs26.1.0indirect
PyPIbarndoor2.13.0indirect
PyPIcffi2.1.1indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcryptography50.0.1indirect
PyPIh110.16.0indirect
PyPIhttpcore22.13.1indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIidna3.20indirect
PyPIiniconfig2.3.0indirect
PyPIjoserfc1.7.5indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPImcp-types2.2.0indirect
PyPIopentelemetry-api1.44.0indirect
PyPIpackaging26.3indirect
PyPIpluggy1.6.0indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.5indirect
PyPIpygments2.21.0indirect
PyPIpyjwt2.15.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpython-multipart0.0.32indirect
PyPIpywin32312indirect
PyPIpyyaml6.0.3indirect
PyPIreferencing0.37.0indirect
PyPIrpds-py2026.6.3indirect
PyPIsix1.17.0indirect
PyPIsse-starlette3.4.11indirect
PyPIstarlette1.7.0indirect
PyPItruststore0.10.4indirect
PyPItyping-inspection0.4.4indirect
PyPIuvicorn0.53.0indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 43 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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

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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.