Public recordModerate
Software health reportschema 0.17.0 · metrics 1.13.0 · 2026-07-21 03:22 UTC
gtalarico / pyairtable
Python Api Client for Airtable
gtalarico/pyairtable holds a health index of 68 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (100/100) and lowest on Security (21/100). It was last updated 20 days ago. A single contributor accounts for most of its recent work.
68
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
68
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe 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.
Ownership
Gui TalaricoPersonal account
698 followers55 public repossince Nov 2014
This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish | Tags |
|---|---|---|---|---|---|---|
| PyPI | pyairtable | 3.4.0 | 3,880,650 | 46 | 48 days ago | airtableapiclientpyairtable |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
66
Development activity
57Moderate
How it's scored
| 28.8/36 | Push recency — last push 20 days ago |
| 7.6/36 | Commit cadence — 11/52 weeks with commits |
| 15.1/18 | Commit volume — 47 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — no data |
Inputs used
| commits_last_year | 47 |
| human_commit_share | — |
| days_since_last_push | 20 |
| active_weeks_last_year | 11 |
Release discipline
80Good
How it's scored
| 16.2/27 | Ships releases — 42 version tags (no GitHub releases) |
| 36/36 | Release recency — latest release 48 days ago |
| 19.8/27 | Release cadence — a release every ~63.1 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 42 |
| latest_release_tag | 3.4.0 |
| releases_from_tags | yes |
| days_since_latest_release | 48 |
| mean_days_between_releases | 63.1 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
72
Popularity & adoption
74Good
How it's scored
| 47.9/60 | Stars — 892 stars |
| 18.2/25 | Forks — 154 forks |
| 7.4/15 | Watchers — 22 watchers |
Inputs used
| forks | 154 |
| stars | 892 |
| watchers | 22 |
| growth_state | organic |
| growth_factor_pct | 100 |
Community health
50Moderate
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 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 |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Ecosystem adoption (downloads)
100Excellent
How it's scored
| 80/80 | Monthly downloads — 3,880,650 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | pyairtable |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 3,880,650 |
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?
71
Maintainer resilience (bus factor)
37At risk
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 11/22.5 | Commit distribution — top contributor authored 51% of commits |
| 13.5/13.5 | Contributor breadth — 38 contributors |
| 0/10 | OpenSSF Scorecard: Contributors — no data |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 38 |
| top_contributor_share | 0.513 |
Issue & PR responsiveness
90Excellent
How it's scored
| 46.8/46.8 | Issue resolution — 100% of issues closed |
| 30.1/38.3 | PR acceptance — 207/263 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — no data |
Inputs used
| merged_prs | 207 |
| open_issues | 0 |
| closed_issues | 195 |
| issue_closed_ratio | 1 |
| closed_unmerged_prs | 56 |
Ownership & stewardship
69Moderate
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 20.5/25 | Owner reach — 698 followers of gtalarico |
| 24.7/25 | Track record — 55 public repos, account ~11 yr old |
Inputs used
| followers | 698 |
| owner_type | User |
| is_verified | — |
| owner_login | gtalarico |
| public_repos | 55 |
| account_age_days | 4,278 |
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 48 days ago |
| 20/20 | Version history — 46 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | pyairtable |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 48 |
Engineering Quality
Are baseline engineering and documentation practices in place?
100
Engineering practices
100Excellent
How it's scored
| 24/24 | CI workflows — 1 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config — tox.ini |
| 9.6/9.6 | Pre-commit hooks |
| 6.4/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — no data |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | yes |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
100Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://pyairtable.readthedocs.io |
| 10/10 | Repository description |
| 10/10 | Topics — 5 topics |
| 10/10 | Wiki |
Inputs used
| topics | python, airtable, api, client, api-wrapper |
| has_wiki | yes |
| homepage | https://pyairtable.readthedocs.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?
21
Security posture
1Critical
How it's scored
| 0/30 | Security policy (SECURITY.md) |
| 0/25 | Dependabot config |
| 0/25 | Dependency lockfiles — published library — lockfiles are an application concern, not expected |
| 0/20 | CodeQL workflow |
Inputs used
| source | file_signals |
| lockfiles | — |
| manifests | pyproject.toml, requirements-dev.txt, requirements-test.txt, setup.cfg, setup.py |
| has_codeql_workflow | no |
| has_security_policy | no |
| has_dependabot_config | no |
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.
Dependency advisories
100Excellent
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 | 11 |
| 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:pyairtable@3.4.0 runtime dependency closure — what installing the published package pulls in — 11 packages. Reachability is not analyzed.
AI Readiness
How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.
81
Agent context & guidance
75Good
How it's scored
| 45/45 | Agent instructions — .claude/CLAUDE.md, AGENTS.md |
| 0/15 | Machine-readable docs (llms.txt) |
| 0/40 | Legible commit history — no data |
Inputs used
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | .claude/CLAUDE.md, AGENTS.md |
| agent_instruction_max_bytes | 420 |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
Verify loop (build / test / typecheck)
86Excellent
How it's scored
| 18/18 | One-command bootstrap — Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config — tox.ini |
| 11/11 | Static type checking — pyairtable/py.typed |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — no data |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | pyairtable/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
How it's scored
| 27/45 | Type-checkable code — Python with type-check config (pyairtable/py.typed) |
| 55/55 | Manageable file sizes — 0/65 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 50,303 |
| source_files_sampled | 65 |
| oversized_source_files | 0 |
Key facts
892GitHub stars
38contributors
47commits, last 12 months
20days since last push
42releases
1bus factor
0open issues
PyPIpackage ecosystems
Data collection warnings
- OpenSSF Scorecard timed out after 240s; skipping Scorecard checks
More detail
Star and fork history 892 ★ / 0 ⇿
892Stars
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.
Each point covers 9 days.
Direct dependencies 5
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | inflection | — | setup.cfg |
| PyPI | pydantic | >= 2, < 3 | setup.cfg |
| PyPI | requests | >= 2.22.0 | setup.cfg |
| PyPI | typing_extensions | — | setup.cfg |
| PyPI | urllib3 | >= 1.26 | setup.cfg |
All dependencies 33
Full resolved dependency set from the GitHub dependency graph: 5 direct and 28 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | inflection | — | direct |
| PyPI | pydantic | — | direct |
| PyPI | requests | — | direct |
| PyPI | typing-extensions | — | direct |
| PyPI | urllib3 | — | direct |
| PyPI | autodoc-pydantic | — | indirect |
| PyPI | black | — | indirect |
| PyPI | build | 0.6.0.post1 | indirect |
| PyPI | click | — | indirect |
| PyPI | codecov | — | indirect |
| PyPI | cogapp | — | indirect |
| PyPI | flake8 | — | indirect |
| PyPI | mock | — | indirect |
| PyPI | mypy | — | indirect |
| PyPI | pre-commit | — | indirect |
| PyPI | pytest | — | indirect |
| PyPI | pytest-cov | — | indirect |
| PyPI | requests-mock | — | indirect |
| PyPI | revitron-sphinx-theme | — | indirect |
| PyPI | sphinx | 4.5.0 | indirect |
| PyPI | sphinx-autoapi | — | indirect |
| PyPI | sphinx-autodoc-typehints | — | indirect |
| PyPI | sphinxcontrib-applehelp | 1.0.4 | indirect |
| PyPI | sphinxcontrib-devhelp | 1.0.2 | indirect |
| PyPI | sphinxcontrib-htmlhelp | 2.0.1 | indirect |
| PyPI | sphinxcontrib-qthelp | 1.0.3 | indirect |
| PyPI | sphinxcontrib-serializinghtml | 1.1.5 | indirect |
| PyPI | sphinxext-opengraph | — | indirect |
| PyPI | tox | — | indirect |
| PyPI | twine | 3.3.0 | indirect |
| PyPI | types-requests | — | indirect |
| PyPI | types-urllib3 | — | indirect |
| PyPI | wheel | 0.46.2 | indirect |
Dependency advisories 0
Installing pypi:pyairtable@3.4.0 pulls in 11 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
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"status": "met",
"details": [
{
"code": "packages_published",
"params": {
"count": 1,
"ecosystems": "pypi"
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}
],
"max_points": 25
},
{
"key": "publish_recency",
"name": "Publish recency",
"detail": "latest publish 48 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
"days": 48
}
}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "46 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 46
}
}
],
"max_points": 20
},
{
"key": "not_deprecated",
"name": "Not deprecated",
"detail": "active, not deprecated or yanked",
"points": 20,
"status": "met",
"details": [
{
"code": "package_not_deprecated",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "excellent",
"name": "Engineering Quality",
"value": 100,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "excellent",
"name": "Engineering practices",
"note": null,
"notes": [],
"value": 100,
"inputs": {
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"has_tests": true,
"has_editorconfig": true,
"has_linter_config": true,
"has_precommit_config": true
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"components": [
{
"key": "ci_workflows",
"name": "CI workflows",
"detail": "1 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
"params": {
"count": 1
}
}
],
"max_points": 24
},
{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
"status": "met",
"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": "tox.ini",
"points": 16,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "tox.ini"
}
}
],
"max_points": 16
},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
"detail": null,
"points": 9.6,
"status": "met",
"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
"name": ".editorconfig",
"detail": null,
"points": 6.4,
"status": "met",
"details": [],
"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 20
}
]
},
{
"key": "documentation",
"band": "excellent",
"name": "Documentation",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"topics": [
"python",
"airtable",
"api",
"client",
"api-wrapper"
],
"has_wiki": true,
"homepage": "https://pyairtable.readthedocs.io",
"has_readme": true,
"has_docs_dir": true,
"has_description": true
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 30,
"status": "met",
"details": [],
"max_points": 30
},
{
"key": "documentation_directory",
"name": "Documentation directory",
"detail": null,
"points": 25,
"status": "met",
"details": [],
"max_points": 25
},
{
"key": "documentation_homepage_site",
"name": "Documentation / homepage site",
"detail": "https://pyairtable.readthedocs.io",
"points": 15,
"status": "met",
"details": [],
"max_points": 15
},
{
"key": "repository_description",
"name": "Repository description",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "topics",
"name": "Topics",
"detail": "5 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
"count": 5
}
}
],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "critical",
"name": "Security",
"value": 21,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "critical",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"dependency_lockfiles"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 1,
"inputs": {
"source": "file_signals",
"lockfiles": [],
"manifests": [
"pyproject.toml",
"requirements-dev.txt",
"requirements-test.txt",
"setup.cfg",
"setup.py"
],
"has_codeql_workflow": false,
"has_security_policy": false,
"has_dependabot_config": false
},
"components": [
{
"key": "security_policy_security_md",
"name": "Security policy (SECURITY.md)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 30
},
{
"key": "dependabot_config",
"name": "Dependabot config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 25
},
{
"key": "dependency_lockfiles",
"name": "Dependency lockfiles",
"detail": "published library — lockfiles are an application concern, not expected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "lockfiles_not_expected",
"params": {}
}
],
"max_points": 25
},
{
"key": "codeql_workflow",
"name": "CodeQL workflow",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:pyairtable@3.4.0 runtime dependency closure — what installing the published package pulls in — 11 packages. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"no_advisories_left_outstanding"
]
}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_published",
"params": {
"package": "pypi:pyairtable@3.4.0",
"assessed": 11
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 0,
"affected_packages": 0,
"assessed_packages": 11,
"unassessed_packages": 0,
"affected_by_severity": "none",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "no indirect dependency carries a known advisory",
"points": 25,
"status": "met",
"details": [
{
"code": "no_indirect_advisories",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 11,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 6
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "good",
"name": "AI Readiness",
"value": 81,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "good",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 75,
"inputs": {
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"legible_history_share": null,
"agent_instruction_files": [
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"AGENTS.md"
],
"agent_instruction_max_bytes": 420
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": ".claude/CLAUDE.md, AGENTS.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".claude/CLAUDE.md, AGENTS.md"
}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "excellent",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice",
"automated_maintenance"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 86,
"inputs": {
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"has_tests": true,
"lockfiles": [],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
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"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [
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],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": null
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Makefile"
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}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": "tox.ini",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "tox.ini"
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}
],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "pyairtable/py.typed",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "pyairtable/py.typed"
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}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "good",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 82,
"inputs": {
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"largest_source_bytes": 50303,
"source_files_sampled": 65,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (pyairtable/py.typed)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
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"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "0/65 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
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"sampled": 65,
"oversized": 0
}
}
],
"max_points": 55
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"OpenSSF Scorecard timed out after 240s; skipping Scorecard checks"
],
"report_type": "repository",
"generated_at": "2026-07-21T03:22:41.113817Z",
"schema_version": "0.17.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/g/gtalarico/pyairtable.svg",
"full_name": "gtalarico/pyairtable",
"license_state": "standard",
"license_spdx": "MIT"
}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 v1.13.0, schema v0.17.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.