Public recordAt risk
Software health reportschema 0.26.0 · metrics 1.13.0 · 2026-07-22 00:12 UTC
pymc-devs / pymc
Bayesian Modeling and Probabilistic Programming in Python
pymc-devs/pymc holds a health index of 44 out of 100, placing it in the At risk band. It scores highest on Vitality (98/100) and lowest on AI Readiness (52/100). It was last updated today. 6 contributors account for most of its recent work.
44
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.
44
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.
High-Risk Jurisdiction Policy applies a 50% multiplier to weighted overall health and gives it an At risk ceiling of 49.
Ownership
PyMCOrganization
619 followers44 public repossince May 2009
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish |
|---|---|---|---|---|---|
| PyPI | pymc | 6.1.0 | - | 101 | 14 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
98
Development activity
96Excellent
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 32.5/36 | Commit cadence — 47/52 weeks with commits |
| 18/18 | Commit volume — 263 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 263 |
| human_commit_share | 0.98 |
| days_since_last_push | 0 |
| active_weeks_last_year | 47 |
Release discipline
100Excellent
How it's scored
| 27/27 | Ships releases — 100 releases published |
| 36/36 | Release recency — latest release 14 days ago |
| 27/27 | Release cadence — a release every ~18 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 100 |
| latest_release_tag | v6.1.0 |
| releases_from_tags | no |
| days_since_latest_release | 14 |
| mean_days_between_releases | 18 |
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?
92
Popularity & adoption
98Excellent
How it's scored
| 60/60 | Stars — 9,679 stars |
| 25/25 | Forks — 2,265 forks |
| 13/15 | Watchers — 218 watchers |
Inputs used
| forks | 2,265 |
| stars | 9,679 |
| watchers | 218 |
| growth_state | organic |
| growth_factor_pct | 100 |
Community health
86Excellent
How it's scored
| 22.5/22.5 | README |
| 16.9/22.5 | License — license file present, not a recognized license |
| 18/18 | CONTRIBUTING guide |
| 13.5/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 6.3/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | yes |
| has_pull_request_template | yes |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
88
Maintainer resilience (bus factor)
91Excellent
How it's scored
| 48.6/54 | Bus factor — 6 contributor(s) cover half of all commits |
| 19.2/22.5 | Commit distribution — top contributor authored 14% of commits |
| 13.5/13.5 | Contributor breadth — 98 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 70 contributing companies or organizations |
Inputs used
| bus_factor | 6 |
| contributors_sampled | 98 |
| top_contributor_share | 0.145 |
Issue & PR responsiveness
88Excellent
How it's scored
| 42.7/46.8 | Issue resolution — 91% of issues closed |
| 31.3/38.3 | PR acceptance — 3,661/4,480 decided PRs merged |
| 13.5/15 | OpenSSF Scorecard: Code-Review — Found 12/13 approved changesets -- score normalized to 9 |
Inputs used
| merged_prs | 3,661 |
| open_issues | 305 |
| closed_issues | 3,220 |
| issue_closed_ratio | 0.913 |
| closed_unmerged_prs | 819 |
Ownership & stewardship
74Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 20.1/25 | Owner reach — 619 followers of pymc-devs |
| 24/25 | Track record — 44 public repos, account ~17 yr old |
Inputs used
| followers | 619 |
| owner_type | Organization |
| is_verified | — |
| owner_login | pymc-devs |
| public_repos | 44 |
| account_age_days | 6,286 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 14 days ago |
| 20/20 | Version history — 101 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | pymc |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 14 |
Engineering Quality
Are baseline engineering and documentation practices in place?
96
Engineering practices
94Excellent
How it's scored
| 24/24 | CI workflows — 10 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 13 out of 13 merged PRs checked by a CI test -- score normalized to 10 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
100Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://www.pymc.io |
| 10/10 | Repository description |
| 10/10 | Topics — 7 topics |
| 10/10 | Wiki |
Inputs used
| topics | python, statistical-analysis, bayesian-inference, mcmc, variational-inference, probabilistic-programming, pytensor |
| has_wiki | yes |
| homepage | https://www.pymc.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?
52
Security posture
40At risk
Jurisdiction risk alert
High-risk jurisdiction exposure detected
1 top contributor profilesRussiaSecurity and overall rating: At risk ceiling
Based on self-published public profile locations. This governance signal does not determine nationality, citizenship, intent, sanctions status, or individual trustworthiness.
How jurisdiction exposure is assessedHow it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — no data |
| 2.5/2.5 | CI-Tests — 13 out of 13 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 6.8/7.5 | Code-Review — Found 12/13 approved changesets -- score normalized to 9 |
| 2.5/2.5 | Contributors — project has 70 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 |
| 2.2/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 4/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8 |
| 5/5 | SAST — SAST tool is run on all commits |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — no data |
| 7.5/7.5 | Token-Permissions — GitHub workflow tokens follow principle of least privilege |
| 3/7.5 | Vulnerabilities — 6 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 7.9 |
| high_risk_jurisdiction_cap | 49 |
| high_risk_jurisdiction_multiplier | 50 |
| security_posture_after_multiplier | 40 |
| security_posture_before_jurisdiction | 79 |
Excluded from scoring (no data or not applicable): branch_protection, signed_releases. Remaining weights renormalized. High-Risk Jurisdiction Policy applies a 50% multiplier and gives Security posture an At risk ceiling of 49.
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 | 32 |
| 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:pymc@6.1.0 runtime dependency closure — what installing the published package pulls in — 32 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.
52
Agent context & guidance
23Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 22.9/40 | Legible commit history — 42 of 98 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.429 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
How it's scored
| 18/18 | One-command bootstrap — Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 0/11 | Static type checking |
| 10/10 | Reproducible environment — Dockerfile |
| 0/10 | Demonstrated agent practice — no agent-authored commits among the last 100 |
| 8/8 | Automated maintenance — 2 of the last 100 commits are automated dependency updates |
| 8/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | yes |
| typed_language | no |
| bootstrap_files | Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0.02 |
Code legibility for models
53Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 52.9/55 | Manageable file sizes — 10/259 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 126,843 |
| source_files_sampled | 259 |
| oversized_source_files | 10 |
Machine-readable interfaces
40At risk
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — notebooks |
Inputs used
| example_dirs | notebooks |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
9,679GitHub stars
98contributors
263commits, last 12 months
0days since last push
100releases
6bus factor
305open issues
PyPIpackage ecosystems
More detail
Star and fork history 9,679 ★ / 2,265 ⇿
9,679Stars
2,265Forks
93Releases
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 3Minor 33Patch 51
Each point covers 5 days.
OpenSSF Scorecard 7.9 / 10
7.9aggregate
Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| n/a | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 10 | CI-Tests | 13 out of 13 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 9 | Code-Review | Found 12/13 approved changesets -- score normalized to 9 |
| 10 | Contributors | project has 70 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 |
| 9 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 8 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 8 |
| 10 | SAST | SAST tool is run on all commits |
| 0 | Security-Policy | security policy file not detected |
| n/a | Signed-Releases | no releases found |
| 10 | Token-Permissions | GitHub workflow tokens follow principle of least privilege |
| 4 | Vulnerabilities | 6 existing vulnerabilities detected |
All dependencies 34
Full resolved dependency set from the GitHub dependency graph: 0 direct and 34 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | arviz | — | indirect |
| PyPI | cachetools | — | indirect |
| PyPI | cloudpickle | — | indirect |
| PyPI | ipython | — | indirect |
| PyPI | jupyter-sphinx | — | indirect |
| PyPI | mcbackend | — | indirect |
| PyPI | mypy | 1.19.1 | indirect |
| PyPI | myst-nb | — | indirect |
| PyPI | netcdf4 | — | indirect |
| PyPI | numdifftools | — | indirect |
| PyPI | numpy | — | indirect |
| PyPI | numpydoc | — | indirect |
| PyPI | nutpie | — | indirect |
| PyPI | pandas | — | indirect |
| PyPI | polyagamma | — | indirect |
| PyPI | pre-commit | — | indirect |
| PyPI | pymc-sphinx-theme | — | indirect |
| PyPI | pytensor | — | indirect |
| PyPI | pytest | — | indirect |
| PyPI | pytest-cov | — | indirect |
| PyPI | rich | — | indirect |
| PyPI | scipy | — | indirect |
| PyPI | sphinx | — | indirect |
| PyPI | sphinx-copybutton | — | indirect |
| PyPI | sphinx-design | — | indirect |
| PyPI | sphinx-notfound-page | — | indirect |
| PyPI | sphinx-remove-toctrees | — | indirect |
| PyPI | sphinxext-rediraffe | — | indirect |
| PyPI | threadpoolctl | — | indirect |
| PyPI | types-cachetools | — | indirect |
| PyPI | typing-extensions | — | indirect |
| PyPI | versioneer | 0.29 | indirect |
| PyPI | watermark | — | indirect |
| PyPI | zarr | — | indirect |
Dependency advisories 0
Installing pypi:pymc@6.1.0 pulls in 32 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
{
"data": {
"repo": {
"topics": [
"python",
"statistical-analysis",
"bayesian-inference",
"mcmc",
"variational-inference",
"probabilistic-programming",
"pytensor"
],
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"size_kb": 545832,
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"languages": {
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"Makefile": 1468,
"Dockerfile": 1304
},
"pushed_at": "2026-07-21T20:16:25Z",
"created_at": "2009-05-05T09:43:50Z",
"owner_type": "Organization",
"updated_at": "2026-07-21T20:16:41Z",
"description": "Bayesian Modeling and Probabilistic Programming in Python",
"is_archived": false,
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},
"owner": {
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"name": "PyMC",
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},
"license": {
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"spdx_id": null,
"raw_spdx": "NOASSERTION",
"file_present": true,
"scorecard_found": true,
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},
"activity": {
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{
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{
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{
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{
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{
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},
{
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},
{
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"kind": "patch",
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},
{
"tag": "v5.9.0",
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},
{
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"kind": "patch",
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},
{
"tag": "v5.8.1",
"kind": "patch",
"published_at": "2023-09-14T07:30:31Z"
},
{
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"note": "Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized. High-Risk Jurisdiction Policy applies a 50% multiplier to Security posture and gives it an At risk ceiling of 49.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"branch_protection",
"signed_releases"
]
}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "jurisdiction_posture_adjustment",
"params": {
"cap": 49,
"pct": 50
}
}
],
"value": 40,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 16,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 2,
"scorecard_aggregate": 7.9,
"high_risk_jurisdiction_cap": 49,
"high_risk_jurisdiction_multiplier": 50,
"security_posture_after_multiplier": 40,
"security_posture_before_jurisdiction": 79
},
"components": [
{
"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": "internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "13 out of 13 merged PRs checked by a CI test -- score normalized to 10",
"points": 2.5,
"status": "met",
"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 12/13 approved changesets -- score normalized to 9",
"points": 6.8,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 70 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": 2.2,
"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 8",
"points": 4,
"status": "partial",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is run on all commits",
"points": 5,
"status": "met",
"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": "GitHub workflow tokens follow principle of least privilege",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "6 existing vulnerabilities detected",
"points": 3,
"status": "partial",
"details": [],
"max_points": 7.5
}
]
},
{
"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:pymc@6.1.0 runtime dependency closure — what installing the published package pulls in — 32 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:pymc@6.1.0",
"assessed": 32
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 0,
"affected_packages": 0,
"assessed_packages": 32,
"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": 32,
"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": "moderate",
"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": 50,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": true,
"exposures": [
{
"role": "top_contributor",
"count": 1,
"country": "Russia"
}
],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 10
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "Russia: top_contributor (1)",
"points": 50,
"status": "partial",
"details": [
{
"code": "jurisdiction_exposure",
"params": {
"role": "top_contributor",
"count": 1,
"country": "Russia"
}
}
],
"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": "moderate",
"name": "AI Readiness",
"value": 52,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 23,
"inputs": {
"has_llms_txt": false,
"legible_history_share": 0.429,
"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": "42 of 98 human commits state their intent (structured subject or explanatory body)",
"points": 22.9,
"status": "partial",
"details": [
{
"code": "legible_history",
"params": {
"legible": 42,
"sampled": 98
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "good",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 77,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [],
"has_dockerfile": true,
"typed_language": false,
"bootstrap_files": [
"Makefile"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": 0,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0.02
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Makefile"
}
}
],
"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": null,
"points": 11,
"status": "met",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "Dockerfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Dockerfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no agent-authored commits among the last 100",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_authored_commits",
"params": {
"sampled": 100
}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "2 of the last 100 commits are automated dependency updates",
"points": 8,
"status": "met",
"details": [
{
"code": "dependency_bot_commits",
"params": {
"count": 2,
"sampled": 100
}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 8",
"points": 8,
"status": "partial",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 53,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 126843,
"source_files_sampled": 259,
"oversized_source_files": 10
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "10/259 source files over 60KB",
"points": 52.9,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 259,
"oversized": 10
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"notebooks"
],
"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": "notebooks",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "notebooks"
}
}
],
"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": "2026-07-22T00:12:27.079509Z",
"schema_version": "0.26.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/pymc-devs/pymc.svg",
"full_name": "pymc-devs/pymc",
"license_state": "custom",
"license_spdx": null
}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.