Public recordModerate
Software health reportschema 0.26.0 · metrics 1.13.0 · 2026-07-22 01:42 UTC
alecthomas / voluptuous
CONTRIBUTIONS ONLY: Voluptuous, despite the name, is a Python data validation library.
alecthomas/voluptuous holds a health index of 65 out of 100, placing it in the Moderate band. It scores highest on Sustainability & Governance (76/100) and lowest on AI Readiness (47/100). It was last updated 3 days ago. 2 contributors account for most of its recent work.
65
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.
65
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
Alec ThomasPersonal account
1,431 followers176 public repossince Dec 2008
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 |
|---|---|---|---|---|---|
| PyPI | voluptuous | 0.16.0 | - | 51 | 215 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
58
Development activity
56Moderate
How it's scored
| 36/36 | Push recency — last push 3 days ago |
| 4.2/36 | Commit cadence — 6/52 weeks with commits |
| 9.7/18 | Commit volume — 11 commits in the last year |
| 6/10 | OpenSSF Scorecard: Maintained — 7 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 6 |
Inputs used
| commits_last_year | 11 |
| human_commit_share | 1 |
| days_since_last_push | 3 |
| active_weeks_last_year | 6 |
Release discipline
62Moderate
How it's scored
| 27/27 | Ships releases — 13 releases published |
| 16.2/36 | Release recency — latest release 215 days ago |
| 12.6/27 | Release cadence — a release every ~151 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 13 |
| latest_release_tag | 0.16.0 |
| releases_from_tags | no |
| days_since_latest_release | 215 |
| mean_days_between_releases | 151 |
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?
67
Popularity & adoption
81Good
How it's scored
| 53/60 | Stars — 1,849 stars |
| 19.7/25 | Forks — 234 forks |
| 8.3/15 | Watchers — 32 watchers |
Inputs used
| forks | 234 |
| stars | 1,849 |
| watchers | 32 |
| 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 (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 |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
76
Maintainer resilience (bus factor)
62Moderate
How it's scored
| 25.2/54 | Bus factor — 2 contributor(s) cover half of all commits |
| 13.6/22.5 | Commit distribution — top contributor authored 39% of commits |
| 13.5/13.5 | Contributor breadth — 84 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 17 contributing companies or organizations |
Inputs used
| bus_factor | 2 |
| contributors_sampled | 84 |
| top_contributor_share | 0.394 |
How it's scored
| 40.5/46.8 | Issue resolution — 87% of issues closed |
| 30.9/38.3 | PR acceptance — 231/286 decided PRs merged |
| 12/15 | OpenSSF Scorecard: Code-Review — Found 24/30 approved changesets -- score normalized to 8 |
Inputs used
| merged_prs | 231 |
| open_issues | 34 |
| closed_issues | 219 |
| issue_closed_ratio | 0.866 |
| closed_unmerged_prs | 55 |
Ownership & stewardship
72Good
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 22.7/25 | Owner reach — 1,431 followers of alecthomas |
| 25/25 | Track record — 176 public repos, account ~17 yr old |
Inputs used
| followers | 1,431 |
| owner_type | User |
| is_verified | — |
| owner_login | alecthomas |
| public_repos | 176 |
| account_age_days | 6,422 |
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
Package maintenance
91Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 26/35 | Publish recency — latest publish 215 days ago |
| 20/20 | Version history — 51 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | voluptuous |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 215 |
Engineering Quality
Are baseline engineering and documentation practices in place?
68
Engineering practices
70Good
How it's scored
| 24/24 | CI workflows — 1 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config — tox.ini |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 6/20 | OpenSSF Scorecard: CI-Tests — 8 out of 24 merged PRs checked by a CI test -- score normalized to 3 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | no |
Documentation
65Moderate
How it's scored
| 30/30 | README |
| 0/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://pypi.org/project/voluptuous |
| 10/10 | Repository description |
| 0/10 | Topics |
| 10/10 | Wiki |
Inputs used
| topics | — |
| has_wiki | yes |
| homepage | https://pypi.org/project/voluptuous |
| has_readme | yes |
| has_docs_dir | no |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
53
Security posture
53Moderate
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 |
| 0.8/2.5 | CI-Tests — 8 out of 24 merged PRs checked by a CI test -- score normalized to 3 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 6/7.5 | Code-Review — Found 24/30 approved changesets -- score normalized to 8 |
| 2.5/2.5 | Contributors — project has 17 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no 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 |
| 4.5/7.5 | Maintained — 7 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 6 |
| 0/5 | Packaging — no data |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 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 |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 5.3 |
Excluded from scoring (no data or not applicable): packaging, signed_releases. Remaining weights renormalized.
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.
47
Agent context & guidance
37At risk
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 36.8/40 | Legible commit history — 69 of 100 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.69 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
How it's scored
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 11/11 | Lint / format config — tox.ini |
| 11/11 | Static type checking — voluptuous/py.typed |
| 0/10 | Reproducible environment |
| 2/10 | Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited |
| 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 | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | voluptuous/py.typed |
| agent_commit_share | 0.01 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
How it's scored
| 27/45 | Type-checkable code — Python with type-check config (voluptuous/py.typed) |
| 50.4/55 | Manageable file sizes — 1/12 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 69,597 |
| source_files_sampled | 12 |
| oversized_source_files | 1 |
Machine-readable interfaces
40At risk
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — examples |
Inputs used
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
1,849GitHub stars
84contributors
11commits, last 12 months
3days since last push
13releases
2bus factor
34open issues
PyPIpackage ecosystems
More detail
Star and fork history 1,849 ★ / 234 ⇿
1,849Stars
234Forks
13Releases
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 0Minor 5Patch 8
Each point covers 15 days.
OpenSSF Scorecard 5.3 / 10
5.3aggregate
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 3 | CI-Tests | 8 out of 24 merged PRs checked by a CI test -- score normalized to 3 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 8 | Code-Review | Found 24/30 approved changesets -- score normalized to 8 |
| 10 | Contributors | project has 17 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 6 | Maintained | 7 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 6 |
| n/a | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 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 |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
All dependencies 0
Full resolved dependency set from the GitHub dependency graph: 0 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|
Dependency advisories not assessed
Advisory matching could not run for this report: No resolved dependencies to assess
Raw JSON report machine-readable
{
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},
"activity": {
"releases": [
{
"tag": "0.16.0",
"kind": "minor",
"published_at": "2025-12-18T19:07:42Z"
},
{
"tag": "0.15.2",
"kind": "patch",
"published_at": "2024-07-02T19:08:32Z"
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"tag": "0.15.1",
"kind": "patch",
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"kind": "patch",
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{
"tag": "0.14.1",
"kind": "patch",
"published_at": "2023-11-17T11:08:11Z"
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{
"tag": "0.14.0",
"kind": "minor",
"published_at": "2023-11-12T17:04:42Z"
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{
"tag": "0.13.1",
"kind": "patch",
"published_at": "2022-04-07T15:40:18Z"
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"tag": "0.13.0",
"kind": "minor",
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{
"tag": "0.12.2",
"kind": "patch",
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},
{
"tag": "0.12.1",
"kind": "patch",
"published_at": "2020-12-06T22:57:19Z"
},
{
"tag": "0.12.0",
"kind": "minor",
"published_at": "2020-12-06T22:48:34Z"
},
{
"tag": "0.9.3",
"kind": "patch",
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}
],
"recent_commits": [
{
"oid": "44593ce7c330faf9418252c4b5448f4736144a7f",
"body": "Fixes #541.\n\n`Number(precision, scale)` documents `:raises Invalid:`, but\n`Number(precision=6, scale=2)(\"Infinity\")` (also `\"NaN\"`/`\"-Infinity\"`)\nleaks a raw `TypeError(\"infinity and NaN have no precision\")`.\n`Decimal(number)` succeeds for these, then `as_tuple().exponent` is a\nstring rather than an\n[…]\n clean.\n\nThis is separate from #539, which handles `None`/`dict`/`bytes` before\nthe `Decimal()` call and explicitly leaves this non-finite path alone.\n\nSigned-off-by: Sai Asish Y <say.apm35@gmail.com>",
"is_bot": false,
"headline": "Raise Invalid for Infinity/NaN input to Number validator (#542)",
"author_name": "Sai Asish Y",
"author_login": "SAY-5",
"committed_at": "2026-07-11T01:16:47Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "73237e9014f53da32fd6f90630976f5e8279b420",
"body": "Resolves GitHub issue #409 by adding comprehensive dataclasses support:\n\nFeatures:\n- DataclassSchema class for automatic schema creation from dataclasses\n- create_dataclass_schema() function for functional API\n- is_dataclass() utility for dataclass detection\n- Automatic type validation from dataclas\n[…]\nw = 181 total)\n- Zero flake8 violations\n- Zero mypy type errors\n- Black and isort formatting applied\n- Requires Python 3.7+ for dataclasses support\n\nBreaking Changes: None\nBackward Compatibility: Full",
"is_bot": false,
"headline": "feat: implement dataclasses support for voluptuous schemas (#533)",
"author_name": "Oleksii",
"author_login": "doubledare704",
"committed_at": "2026-07-06T00:54:52Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "7fec1343c443a8c887b7cb0d70dcfeb87ce54d0b",
"body": "## Summary\n\nThis PR allows `Schema.extend()` to accept another dictionary-based\n`Schema` instance.\n\nPreviously, `Schema.extend()` only accepted raw dictionary fragments:\n\n```python\nbase = Schema({\"a\": int})\nextended = base.extend({\"b\": str})\n```\n\nPassing a `Schema` instance failed because `extend()`\n[…]\nreturn behavior.\n\nFocused test command:\n\n```bash\n./.venv/bin/pytest voluptuous/tests/tests.py -k \"schema_extend or subschema_extension\"\n```\n\nResult:\n\n```text\n14 passed, 162 deselected\n```\n\nCloses #386",
"is_bot": false,
"headline": "Allow Schema.extend to accept Schema instances (#538)",
"author_name": "Aleksandr Kotlyar",
"author_login": "aleksandr-kotlyar",
"committed_at": "2026-07-05T00:01:16Z",
"body_truncated": true,
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{
"oid": "6cf9450c7a3460f5aa102c0ba50204cc43e4e1b9",
"body": "… (#546)\n\nFixes #358.\n\n## Problem\n\n`Invalid.__str__` produces an informative message including the path and\nerror type:\n\n```\nexpected int for dictionary value @ data['k']\n```\n\nBut `Invalid` has no `__repr__`, so `repr()` falls back to the default\nexception repr and drops that context:\n\n```python\n>>>\n[…]\ne of an AI tool\n(Claude Code). I verified the behavior, added and ran the test, ran the\nsuite and linters, and take responsibility for the contribution and will\nrespond to review feedback personally.*",
"is_bot": false,
"headline": "Add __repr__ to Invalid so it surfaces the path and error type (#358)…",
"author_name": "Apoorv Darshan",
"author_login": "apoorvdarshan",
"committed_at": "2026-07-05T00:00:59Z",
"body_truncated": true,
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"oid": "9dd222db18189ea11c07615c16dc54bba6cb2aed",
"body": "## Summary\n\n`Number(precision, scale)` documents `:raises Invalid:` and already\nconverts an unparsable **string** into `Invalid(\"Value must be a number\nenclosed with string\")`. But other non-numeric input leaks a raw\nexception instead:\n\n```python\n>>> from voluptuous import Schema, Number\n>>> Schema(\n[…]\nl test suite: **169 passed** (168 baseline + the new test), no\nregressions. `flake8` clean at the change.\n\n---\n\nThis pull request was prepared with the assistance of AI, under my\ndirection and review.",
"is_bot": false,
"headline": "Raise Invalid for non-numeric input to Number validator (#539)",
"author_name": "Vincent Gao",
"author_login": "gaoflow",
"committed_at": "2026-07-04T23:50:44Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "d20c6c8bc7f49f94668e38289655cabb33ff2602",
"body": "`Schema({Coerce(int)})({'1', '2'})` returned the original string set instead\nof `{1, 2}`, even though the equivalent list schema `[Coerce(int)]` and a bare\n`Coerce(int)` both coerce. `_compile_set.validate_set` called each validator\nonly for its side effects and returned the original `data`, discard\n[…]\n type), mirroring `_compile_sequence`, including the\n`Remove` handling. Non-transforming validators round-trip unchanged.\n\nCloses #400\n\nCo-authored-by: uttam12331 <uttam12331@users.noreply.github.com>",
"is_bot": false,
"headline": "Apply value-transforming validators to set elements (#544)",
"author_name": "uttam12331",
"author_login": "uttam12331",
"committed_at": "2026-07-04T23:49:40Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "aa158af6f740acfeae8ec22301735df6e6f03516",
"body": "Allow an enum.Enum member to be used directly as a schema (matched by\nequality) and as a mapping key, by compiling it as a scalar.\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Feature: Support enum members as scalar schemas and mapping keys (#537)",
"author_name": "epenet",
"author_login": "epenet",
"committed_at": "2026-07-03T23:57:45Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "87825d6dbdab8830fcc6d559ecb3b88bdf68af6d",
"body": null,
"is_bot": false,
"headline": "Release 0.16.0",
"author_name": "spacegaier",
"author_login": "spacegaier",
"committed_at": "2025-12-18T19:00:01Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4cef6cee1019741ada6145698e78daa8d73c9353",
"body": "* Feature: Support requiring anyOf a list of keys\n\nThis adds a new feature to Voluptuous, which is somewhat akin to what json-schema does with the special key `anyOf`.\n\n`Schema({Required(Any('color', 'temperature', 'brightness')): str})` will validate that AT LEAST ONE of these three values is prese\n[…]\nesent. But if brightness is present, all other validations of brightness (like checking that its value is a number between 0 and 100) still apply.\n\n* Simplify tests\n\n* Format stuff like black wants it",
"is_bot": false,
"headline": "Feature: Support requiring anyOf a list of keys (#534)",
"author_name": "Miguel Camba",
"author_login": "cibernox",
"committed_at": "2025-12-14T04:05:07Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "c5b63f80f156deeb4ef9646555eb41413edad7f5",
"body": null,
"is_bot": false,
"headline": "i have run isort and updated few actions to latest version (#531)",
"author_name": "Oleksii",
"author_login": "doubledare704",
"committed_at": "2025-08-31T08:10:23Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "86bcb0347e5a3344be1073975e80fd73d7f3ab75",
"body": "* Add comprehensive tests for humanize.py module to improve coverage from 71% to 100%\n\n- Add tests for _nested_getitem error handling (KeyError, IndexError, TypeError)\n- Add tests for humanize_error with long error message truncation\n- Add tests for validate_with_humanized_errors success and failure\n[…]\none data and multiple validation errors\n- Improve overall test coverage from 89% to 90%\n\nThis addresses the missing coverage in humanize.py lines 19-22, 45, and 54-57.\n\n* Fix import sorting with isort",
"is_bot": false,
"headline": "Add comprehensive tests for humanize.py module (#530)",
"author_name": "Manya Mittal",
"author_login": "manyamittal25",
"committed_at": "2025-08-02T11:07:29Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "4a9c8f8efba20622afdc68e4721787efb4f17472",
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"key": "binary_artifacts",
"name": "Binary-Artifacts",
"detail": "no binaries found in the repo",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "branch_protection",
"name": "Branch-Protection",
"detail": "branch protection not enabled on development/release branches",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "8 out of 24 merged PRs checked by a CI test -- score normalized to 3",
"points": 0.8,
"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "code_review",
"name": "Code-Review",
"detail": "Found 24/30 approved changesets -- score normalized to 8",
"points": 6,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 17 contributing companies or organizations",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "7 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 6",
"points": 4.5,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow not detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "0 existing vulnerabilities detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
}
]
},
{
"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": 16
},
"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": "at_risk",
"name": "AI Readiness",
"value": 47,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "at_risk",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 37,
"inputs": {
"has_llms_txt": false,
"legible_history_share": 0.69,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"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": "69 of 100 human commits state their intent (structured subject or explanatory body)",
"points": 36.8,
"status": "partial",
"details": [
{
"code": "legible_history",
"params": {
"legible": 69,
"sampled": 100
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "at_risk",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 46,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [
"voluptuous/py.typed"
],
"agent_commit_share": 0.01,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"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"
}
}
],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "voluptuous/py.typed",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "voluptuous/py.typed"
}
}
],
"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": "1 of the last 100 commits agent-authored or agent-credited",
"points": 2,
"status": "partial",
"details": [
{
"code": "agent_authored_commits",
"params": {
"count": 1,
"sampled": 100
}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no automated dependency updates observed",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_dependency_automation",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "good",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 77,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 69597,
"source_files_sampled": 12,
"oversized_source_files": 1
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (voluptuous/py.typed)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
"files": "voluptuous/py.typed",
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "1/12 source files over 60KB",
"points": 50.4,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 12,
"oversized": 1
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"examples"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "examples",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples"
}
}
],
"max_points": 40
}
]
}
],
"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": [],
"report_type": "repository",
"generated_at": "2026-07-22T01:42:06.254490Z",
"schema_version": "0.26.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/alecthomas/voluptuous.svg",
"full_name": "alecthomas/voluptuous",
"license_state": "standard",
"license_spdx": "BSD-3-Clause"
}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 v0.26.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.