Public recordModerate
Software health reportschema 0.17.0 · metrics 1.13.0 · 2026-07-21 04:42 UTC
PriorLabs / tabpfn_common_utils
Shared Python utilities used across the TabPFN ecosystem — data helpers, regression result handling, cost estimation, and optional telemetry.
PriorLabs/tabpfn_common_utils holds a health index of 66 out of 100, placing it in the Moderate band. It scores highest on Vitality (81/100) and lowest on Community & Adoption (29/100). It was last updated 28 days ago. A single contributor accounts for most of its recent work.
66
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.
66
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
Prior LabsOrganization
380 followers11 public repossince Sep 2023
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 | Tags |
|---|---|---|---|---|---|---|
| PyPI | tabpfn-common-utils | 0.2.23 | - | 31 | 28 days ago | machine-learningtabpfnutilities |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
81
Development activity
75Good
How it's scored
| 28.8/36 | Push recency — last push 28 days ago |
| 18/36 | Commit cadence — 26/52 weeks with commits |
| 18/18 | Commit volume — 223 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 223 |
| human_commit_share | — |
| days_since_last_push | 28 |
| active_weeks_last_year | 26 |
Release discipline
90Excellent
How it's scored
| 27/27 | Ships releases — 6 releases published |
| 27/36 | Release recency — latest release 157 days ago |
| 27/27 | Release cadence — a release every ~16.8 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 6 |
| latest_release_tag | v0.2.16 |
| releases_from_tags | no |
| days_since_latest_release | 157 |
| mean_days_between_releases | 16.8 |
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?
29
Popularity & adoption
4Critical
How it's scored
| 0/60 | Stars — 0 stars |
| 4/25 | Forks — 4 forks |
| 0/15 | Watchers — 2 watchers |
Inputs used
| forks | 4 |
| stars | 0 |
| watchers | 2 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
57Moderate
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (Apache-2.0) |
| 0/18 | CONTRIBUTING guide |
| 0/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 6.3/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | yes |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
68
Maintainer resilience (bus factor)
36At risk
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 7.1/22.5 | Commit distribution — top contributor authored 69% of commits |
| 13.5/13.5 | Contributor breadth — 14 contributors |
| 6/10 | OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 14 |
| top_contributor_share | 0.686 |
Issue & PR responsiveness
88Excellent
How it's scored
| 46.8/46.8 | Issue resolution — 100% of issues closed |
| 34.7/38.3 | PR acceptance — 69/76 decided PRs merged |
| 6/15 | OpenSSF Scorecard: Code-Review — Found 4/9 approved changesets -- score normalized to 4 |
Inputs used
| merged_prs | 69 |
| open_issues | 0 |
| closed_issues | 1 |
| issue_closed_ratio | 1 |
| closed_unmerged_prs | 7 |
Ownership & stewardship
62Moderate
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 18.6/25 | Owner reach — 380 followers of PriorLabs |
| 13.6/25 | Track record — 11 public repos, account ~2 yr old |
Inputs used
| followers | 380 |
| owner_type | Organization |
| is_verified | — |
| owner_login | PriorLabs |
| public_repos | 11 |
| account_age_days | 1,047 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 28 days ago |
| 20/20 | Version history — 31 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | tabpfn-common-utils |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 28 |
Engineering Quality
Are baseline engineering and documentation practices in place?
76
Engineering practices
94Excellent
How it's scored
| 24/24 | CI workflows — 2 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 — 11 out of 11 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
50Moderate
How it's scored
| 30/30 | README |
| 0/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 10/10 | Repository description |
| 0/10 | Topics |
| 10/10 | Wiki |
Inputs used
| topics | — |
| has_wiki | yes |
| homepage | — |
| 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?
69
Security posture
61Moderate
How 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 — 11 out of 11 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 |
| 3/7.5 | Code-Review — Found 4/9 approved changesets -- score normalized to 4 |
| 1.5/2.5 | Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
| 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 |
| 7.5/7.5 | Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0.5/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1 |
| 1/5 | SAST — SAST tool is not run on all commits -- score normalized to 2 |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 1.5/7.5 | Vulnerabilities — 8 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 6.1 |
Excluded from scoring (no data or not applicable): branch_protection, signed_releases. 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 | 21 |
| 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:tabpfn-common-utils@0.2.23 runtime dependency closure — what installing the published package pulls in — 21 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.
46
Agent context & guidance
1Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 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 | — |
| agent_instruction_max_bytes | — |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
Verify loop (build / test / typecheck)
67Moderate
How it's scored
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 11/11 | Static type checking — src/tabpfn_common_utils/py.typed |
| 10/10 | Reproducible environment — lockfile |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 1/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | uv.lock |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | src/tabpfn_common_utils/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 (src/tabpfn_common_utils/py.typed) |
| 55/55 | Manageable file sizes — 0/26 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 17,783 |
| source_files_sampled | 26 |
| oversized_source_files | 0 |
Key facts
0GitHub stars
14contributors
223commits, last 12 months
28days since last push
6releases
1bus factor
0open issues
PyPIpackage ecosystems
More detail
OpenSSF Scorecard 6.1 / 10
6.1aggregate
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 | 11 out of 11 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 |
| 4 | Code-Review | Found 4/9 approved changesets -- score normalized to 4 |
| 6 | Contributors | project has 2 contributing companies or organizations -- score normalized to 6 |
| 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 |
| 10 | Maintained | 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 1 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 1 |
| 2 | SAST | SAST tool is not run on all commits -- score normalized to 2 |
| 10 | Security-Policy | security policy file detected |
| n/a | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 2 | Vulnerabilities | 8 existing vulnerabilities detected |
Direct dependencies 9
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | numpy | >=1.21.6 | pyproject.toml |
| PyPI | pandas | >=1.4.0 | pyproject.toml |
| PyPI | scikit-learn | >=1.2.0 | pyproject.toml |
| PyPI | typing-extensions | >=4.12 | pyproject.toml |
| PyPI | posthog | >=6.7 | pyproject.toml |
| PyPI | platformdirs | >=4 | pyproject.toml |
| PyPI | filelock | >=3.19.1 | pyproject.toml |
| PyPI | requests | >=2.32.5 | pyproject.toml |
| PyPI | nvidia-ml-py | >=13.590.48 | pyproject.toml |
All dependencies 68
Full resolved dependency set from the GitHub dependency graph: 9 direct and 59 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | filelock | 3.19.1 | direct |
| PyPI | numpy | 2.0.2 | direct |
| PyPI | nvidia-ml-py | 13.595.45 | direct |
| PyPI | pandas | 2.3.3 | direct |
| PyPI | platformdirs | 4.4.0 | direct |
| PyPI | posthog | 6.9.3 | direct |
| PyPI | requests | 2.32.5 | direct |
| PyPI | scikit-learn | 1.6.1 | direct |
| PyPI | typing-extensions | 4.15.0 | direct |
| PyPI | backoff | 2.2.1 | indirect |
| PyPI | backports-tarfile | 1.2.0 | indirect |
| PyPI | build | 1.4.3 | indirect |
| PyPI | certifi | 2026.2.25 | indirect |
| PyPI | cffi | 2.0.0 | indirect |
| PyPI | charset-normalizer | 3.4.7 | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | coverage | 7.10.7 | indirect |
| PyPI | cryptography | 46.0.7 | indirect |
| PyPI | distro | 1.9.0 | indirect |
| PyPI | docutils | 0.22.4 | indirect |
| PyPI | exceptiongroup | 1.3.1 | indirect |
| PyPI | hatch-vcs | 0.5.0 | indirect |
| PyPI | hatchling | 1.27.0 | indirect |
| PyPI | id | 1.6.1 | indirect |
| PyPI | idna | 3.15 | indirect |
| PyPI | importlib-metadata | 8.7.1 | indirect |
| PyPI | iniconfig | 2.1.0 | indirect |
| PyPI | jaraco-classes | 3.4.0 | indirect |
| PyPI | jaraco-context | 6.1.1 | indirect |
| PyPI | jaraco-functools | 4.4.0 | indirect |
| PyPI | jeepney | 0.9.0 | indirect |
| PyPI | joblib | 1.5.3 | indirect |
| PyPI | keyring | 25.7.0 | indirect |
| PyPI | markdown-it-py | 3.0.0 | indirect |
| PyPI | mdurl | 0.1.2 | indirect |
| PyPI | more-itertools | 10.8.0 | indirect |
| PyPI | nh3 | 0.3.4 | indirect |
| PyPI | nodeenv | 1.10.0 | indirect |
| PyPI | packaging | 26.0 | indirect |
| PyPI | pathspec | 1.0.4 | indirect |
| PyPI | pluggy | 1.6.0 | indirect |
| PyPI | pycparser | 2.23 | indirect |
| PyPI | pygments | 2.20.0 | indirect |
| PyPI | pyproject-hooks | 1.2.0 | indirect |
| PyPI | pyright | 1.1.408 | indirect |
| PyPI | pytest | 8.4.2 | indirect |
| PyPI | pytest-cov | 7.1.0 | indirect |
| PyPI | python-dateutil | 2.9.0.post0 | indirect |
| PyPI | pytz | 2026.1.post1 | indirect |
| PyPI | pywin32-ctypes | 0.2.3 | indirect |
| PyPI | readme-renderer | 44.0 | indirect |
| PyPI | requests-toolbelt | 1.0.0 | indirect |
| PyPI | rfc3986 | 2.0.0 | indirect |
| PyPI | rich | 15.0.0 | indirect |
| PyPI | ruff | 0.15.10 | indirect |
| PyPI | scipy | 1.13.1 | indirect |
| PyPI | secretstorage | 3.3.3 | indirect |
| PyPI | setuptools | 82.0.1 | indirect |
| PyPI | setuptools-scm | 9.2.2 | indirect |
| PyPI | six | 1.17.0 | indirect |
| PyPI | threadpoolctl | 3.6.0 | indirect |
| PyPI | tomli | 2.4.1 | indirect |
| PyPI | trove-classifiers | 2026.1.14.14 | indirect |
| PyPI | twine | 6.2.0 | indirect |
| PyPI | tzdata | 2026.1 | indirect |
| PyPI | urllib3 | 2.6.3 | indirect |
| PyPI | vcs-versioning | 1.1.1 | indirect |
| PyPI | zipp | 3.23.1 | indirect |
Dependency advisories 0
Installing pypi:tabpfn-common-utils@0.2.23 pulls in 21 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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{
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{
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{
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{
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{
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"weight": 0.2,
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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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"points": 0,
"status": "missed",
"details": [],
"max_points": 25
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{
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"points": 0,
"status": "missed",
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{
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"points": 10,
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{
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"points": 10,
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}
],
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},
{
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"weight": 0.16,
"metrics": [
{
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"notes": [
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{
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{
"key": "branch_protection",
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{
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{
"key": "cii_best_practices",
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"status": "missed",
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{
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{
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"status": "partial",
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{
"key": "dangerous_workflow",
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{
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{
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"status": "missed",
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{
"key": "license",
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{
"key": "maintained",
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{
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"status": "partial",
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{
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{
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{
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"status": "excluded",
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],
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{
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"status": "missed",
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{
"key": "vulnerabilities",
"name": "Vulnerabilities",
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"status": "partial",
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]
},
{
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"notes": [
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{
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{
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},
{
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"max_points": 35
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{
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{
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"code": "advisories_no_publication_date",
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],
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]
},
{
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"note": null,
"notes": [],
"value": 100,
"inputs": {
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"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
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],
"max_points": 100
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]
},
{
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"notes": [
{
"code": "jurisdiction_evidence_limits",
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}
],
"value": 100,
"inputs": {
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"exposures": [],
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"review_only_matches": 0,
"assessed_self_published_locations": 3
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"components": [
{
"key": "policy_exposure_multiplier",
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"status": "met",
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],
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]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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{
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"name": "AI Readiness",
"value": 46,
"weight": 0,
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{
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"value": 1,
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"status": "missed",
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],
"max_points": 45
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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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"inputs": {
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"toolchain_manifests": [],
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"components": [
{
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"status": "missed",
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{
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"points": 22,
"status": "met",
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},
{
"key": "lint_format_config",
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"points": 11,
"status": "met",
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{
"key": "static_type_checking",
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"status": "met",
"details": [
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{
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"points": 10,
"status": "met",
"details": [
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],
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{
"key": "demonstrated_agent_practice",
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"points": 0,
"status": "excluded",
"details": [
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"code": "no_data",
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],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
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}Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.
Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.17.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.