Public recordModerate
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-14 14:09 UTC
Project-AgML / AgML
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Project-AgML/AgML holds a health index of 67 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (86/100) and lowest on Security (37/100). It was last updated 3 days ago. A single contributor accounts for most of its recent work.
67
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.
67
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
AgMLOrganization
49 followers4 public repossince Dec 2021
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 | agml | 0.8.0 | - | 30 | 3 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
73
Development activity
66Moderate
How it's scored
| 36/36 | Push recency — last push 3 days ago |
| 6.2/36 | Commit cadence — 9/52 weeks with commits |
| 14/18 | Commit volume — 35 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 22 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 35 |
| human_commit_share | — |
| days_since_last_push | 3 |
| active_weeks_last_year | 9 |
Release discipline
84Good
How it's scored
| 27/27 | Ships releases — 28 releases published |
| 36/36 | Release recency — latest release 3 days ago |
| 12.6/27 | Release cadence — a release every ~121.3 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 28 |
| latest_release_tag | v0.8.0 |
| releases_from_tags | no |
| days_since_latest_release | 3 |
| mean_days_between_releases | 121.3 |
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?
72
Popularity & adoption
60Moderate
How it's scored
| 39.9/60 | Stars — 291 stars |
| 13.7/25 | Forks — 45 forks |
| 6.4/15 | Watchers — 15 watchers |
Inputs used
| forks | 45 |
| stars | 291 |
| watchers | 15 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
85Excellent
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (Apache-2.0) |
| 18/18 | CONTRIBUTING guide |
| 13.5/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 0/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | yes |
| has_pull_request_template | no |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
61
Maintainer resilience (bus factor)
33At risk
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 4.3/22.5 | Commit distribution — top contributor authored 81% of commits |
| 13.5/13.5 | Contributor breadth — 15 contributors |
| 6/10 | OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 15 |
| top_contributor_share | 0.81 |
Issue & PR responsiveness
68Moderate
How it's scored
| 31.2/46.8 | Issue resolution — 67% of issues closed |
| 36.8/38.3 | PR acceptance — 51/53 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/7 approved changesets -- score normalized to 0 |
Inputs used
| merged_prs | 51 |
| open_issues | 10 |
| closed_issues | 20 |
| issue_closed_ratio | 0.667 |
| closed_unmerged_prs | 2 |
Ownership & stewardship
56Moderate
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 12.2/25 | Owner reach — 49 followers of Project-AgML |
| 14.2/25 | Track record — 4 public repos, account ~4 yr old |
Inputs used
| followers | 49 |
| owner_type | Organization |
| is_verified | — |
| owner_login | Project-AgML |
| public_repos | 4 |
| account_age_days | 1,656 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 3 days ago |
| 20/20 | Version history — 30 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | agml |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 3 |
Engineering Quality
Are baseline engineering and documentation practices in place?
86
Engineering practices
84Good
How it's scored
| 24/24 | CI workflows — 2 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config — ruff.toml |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 6 out of 6 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 | no |
Documentation
90Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://project-agml.github.io |
| 10/10 | Repository description |
| 10/10 | Topics — 9 topics |
| 0/10 | Wiki |
Inputs used
| topics | agriculture, computer-vision, dataset, deep-learning, image-classification, object-detection, pytorch, semantic-segmentation, synthetic-data |
| has_wiki | no |
| homepage | https://project-agml.github.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?
37
Security posture
37At risk
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 — 6 out of 6 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 |
| 0/7.5 | Code-Review — Found 0/7 approved changesets -- score normalized to 0 |
| 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 |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 22 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 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 |
| 0/7.5 | Vulnerabilities — 22 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 3.7 |
Excluded from scoring (no data or not applicable): branch_protection, 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.
54
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)
88Excellent
How it's scored
| 18/18 | One-command bootstrap — Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config — ruff.toml |
| 11/11 | Static type checking — config/mypy.ini |
| 10/10 | Reproducible environment — lockfile |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 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 | uv.lock |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | config/mypy.ini |
| 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 (config/mypy.ini) |
| 53.7/55 | Manageable file sizes — 3/125 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 86,964 |
| source_files_sampled | 125 |
| oversized_source_files | 3 |
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, notebooks |
Inputs used
| example_dirs | examples, notebooks |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
291GitHub stars
15contributors
35commits, last 12 months
3days since last push
28releases
1bus factor
10open issues
PyPIpackage ecosystems
More detail
OpenSSF Scorecard 3.7 / 10
3.7aggregate
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 | 6 out of 6 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 |
| 0 | Code-Review | Found 0/7 approved changesets -- score normalized to 0 |
| 6 | Contributors | project has 2 contributing companies or organizations -- score normalized to 6 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 22 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 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 |
| 0 | Vulnerabilities | 22 existing vulnerabilities detected |
Direct dependencies 11
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | matplotlib | >=3.7.5 | pyproject.toml |
| PyPI | numpy | >=1.24.4 | pyproject.toml |
| PyPI | opencv-python | >=4.10.0.84 | pyproject.toml |
| PyPI | opencv-python-headless | >=4.10.0.84 | pyproject.toml |
| PyPI | requests | >=2.0.0 | pyproject.toml |
| PyPI | tqdm | >=4.67.0 | pyproject.toml |
| PyPI | pyyaml | >=6.0.2 | pyproject.toml |
| PyPI | albumentations | >=1.4.18 | pyproject.toml |
| PyPI | dict2xml | >=1.7.6 | pyproject.toml |
| PyPI | rich | >=14.0.0 | pyproject.toml |
| PyPI | datasets | — | pyproject.toml |
All dependencies 90
Full resolved dependency set from the GitHub dependency graph: 11 direct and 79 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | albumentations | 2.0.5 | direct |
| PyPI | datasets | 5.0.0 | direct |
| PyPI | dict2xml | 1.7.6 | direct |
| PyPI | matplotlib | 3.10.1 | direct |
| PyPI | numpy | 2.2.4 | direct |
| PyPI | opencv-python | 4.11.0.86 | direct |
| PyPI | opencv-python-headless | 4.11.0.86 | direct |
| PyPI | pyyaml | 6.0.2 | direct |
| PyPI | requests | 2.32.3 | direct |
| PyPI | rich | 14.0.0 | direct |
| PyPI | tqdm | 4.67.1 | direct |
| PyPI | agml | 0.8.0 | indirect |
| PyPI | aiohappyeyeballs | 2.7.1 | indirect |
| PyPI | aiohttp | 3.14.1 | indirect |
| PyPI | aiosignal | 1.4.0 | indirect |
| PyPI | albucore | 0.0.23 | indirect |
| PyPI | annotated-types | 0.7.0 | indirect |
| PyPI | anyio | 4.14.1 | indirect |
| PyPI | async-timeout | 5.0.1 | indirect |
| PyPI | attrs | 25.3.0 | indirect |
| PyPI | boto3 | 1.37.31 | indirect |
| PyPI | botocore | 1.37.31 | indirect |
| PyPI | certifi | 2025.1.31 | indirect |
| PyPI | charset-normalizer | 3.4.1 | indirect |
| PyPI | click | 8.4.2 | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | contourpy | 1.3.1 | indirect |
| PyPI | coverage | 7.8.0 | indirect |
| PyPI | cycler | 0.12.1 | indirect |
| PyPI | dill | 0.4.1 | indirect |
| PyPI | exceptiongroup | 1.2.2 | indirect |
| PyPI | filelock | 3.29.7 | indirect |
| PyPI | fonttools | 4.57.0 | indirect |
| PyPI | frozenlist | 1.8.0 | indirect |
| PyPI | fsspec | 2026.4.0 | indirect |
| PyPI | h11 | 0.16.0 | indirect |
| PyPI | hf-xet | 1.5.1 | indirect |
| PyPI | httpcore | 1.0.9 | indirect |
| PyPI | httpx | 0.28.1 | indirect |
| PyPI | huggingface-hub | 1.23.0 | indirect |
| PyPI | idna | 3.10 | indirect |
| PyPI | imageio | 2.37.0 | indirect |
| PyPI | iniconfig | 2.1.0 | indirect |
| PyPI | interrogate | 1.7.0 | indirect |
| PyPI | jmespath | 1.0.1 | indirect |
| PyPI | joblib | 1.4.2 | indirect |
| PyPI | kiwisolver | 1.4.8 | indirect |
| PyPI | lazy-loader | 0.4 | indirect |
| PyPI | markdown-it-py | 3.0.0 | indirect |
| PyPI | mdurl | 0.1.2 | indirect |
| PyPI | multidict | 6.7.1 | indirect |
| PyPI | multiprocess | 0.70.19 | indirect |
| PyPI | mypy | 1.15.0 | indirect |
| PyPI | mypy-extensions | 1.0.0 | indirect |
| PyPI | networkx | 3.4.2 | indirect |
| PyPI | packaging | 24.2 | indirect |
| PyPI | pandas | 2.2.3 | indirect |
| PyPI | pillow | 11.1.0 | indirect |
| PyPI | pluggy | 1.5.0 | indirect |
| PyPI | propcache | 0.5.2 | indirect |
| PyPI | py | 1.11.0 | indirect |
| PyPI | pyarrow | 25.0.0 | indirect |
| PyPI | pydantic | 2.11.3 | indirect |
| PyPI | pydantic-core | 2.33.1 | indirect |
| PyPI | pygments | 2.19.1 | indirect |
| PyPI | pyparsing | 3.2.3 | indirect |
| PyPI | pytest | 8.3.5 | indirect |
| PyPI | pytest-cov | 6.1.1 | indirect |
| PyPI | pytest-order | 1.3.0 | indirect |
| PyPI | python-dateutil | 2.9.0.post0 | indirect |
| PyPI | pytz | 2025.2 | indirect |
| PyPI | ruff | 0.11.5 | indirect |
| PyPI | s3transfer | 0.11.4 | indirect |
| PyPI | scikit-image | 0.25.2 | indirect |
| PyPI | scikit-learn | 1.6.1 | indirect |
| PyPI | scipy | 1.15.2 | indirect |
| PyPI | shapely | 2.1.0 | indirect |
| PyPI | simsimd | 6.2.1 | indirect |
| PyPI | six | 1.17.0 | indirect |
| PyPI | stringzilla | 3.12.3 | indirect |
| PyPI | tabulate | 0.9.0 | indirect |
| PyPI | threadpoolctl | 3.6.0 | indirect |
| PyPI | tifffile | 2025.3.30 | indirect |
| PyPI | tomli | 2.2.1 | indirect |
| PyPI | typing-extensions | 4.13.2 | indirect |
| PyPI | typing-inspection | 0.4.0 | indirect |
| PyPI | tzdata | 2025.2 | indirect |
| PyPI | urllib3 | 2.4.0 | indirect |
| PyPI | xxhash | 3.8.1 | indirect |
| PyPI | yarl | 1.24.2 | indirect |
Raw JSON report machine-readable
{
"data": {
"repo": {
"topics": [
"agriculture",
"computer-vision",
"dataset",
"deep-learning",
"image-classification",
"object-detection",
"pytorch",
"semantic-segmentation",
"synthetic-data"
],
"is_fork": false,
"size_kb": 223579,
"has_wiki": false,
"homepage": "https://project-agml.github.io",
"languages": {
"C++": 15282,
"CMake": 3680,
"Shell": 2872,
"Python": 1239893,
"Makefile": 636
},
"pushed_at": "2026-07-10T21:44:44Z",
"created_at": "2021-10-29T13:44:40Z",
"owner_type": "Organization",
"updated_at": "2026-07-13T05:40:56Z",
"description": "AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.",
"is_archived": false,
"is_disabled": false,
"license_spdx": "Apache-2.0",
"default_branch": "main",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": null,
"name": "AgML",
"type": "Organization",
"login": "Project-AgML",
"company": null,
"followers": 49,
"avatar_url": "https://avatars.githubusercontent.com/u/96885544?v=4",
"created_at": "2021-12-30T18:16:31Z",
"is_verified": null,
"public_repos": 4,
"account_age_days": 1656
},
"activity": {
"releases_count": 28,
"commits_last_year": 35,
"latest_release_at": "2026-07-10T21:44:44Z",
"latest_release_tag": "v0.8.0",
"days_since_last_push": 3,
"active_weeks_last_year": 9,
"days_since_latest_release": 3,
"mean_days_between_releases": 121.3
},
"community": {
"has_readme": true,
"has_license": true,
"has_description": true,
"has_contributing": true,
"health_percentage": 62,
"has_issue_template": false,
"has_code_of_conduct": true,
"has_pull_request_template": false
},
"ecosystem": {
"packages": [
{
"name": "agml",
"exists": true,
"license": "Apache-2.0",
"ecosystem": "pypi",
"matches_repo": null,
"registry_url": "https://pypi.org/project/agml/",
"is_deprecated": false,
"latest_version": "0.8.0",
"repository_url": null,
"versions_count": 30,
"total_downloads": null,
"dependents_count": null,
"deprecation_note": null,
"maintainers_count": null,
"monthly_downloads": null,
"first_published_at": "2021-10-29T19:00:48.123127Z",
"latest_published_at": "2026-07-10T21:27:25.722835Z",
"latest_version_yanked": null,
"days_since_latest_publish": 3
}
]
},
"popularity": {
"forks": 45,
"stars": 291,
"watchers": 15,
"open_issues_and_prs": 13
},
"ai_readiness": {
"has_nix": false,
"example_dirs": [
"examples",
"notebooks"
],
"has_llms_txt": false,
"has_dockerfile": false,
"has_mcp_signal": false,
"bootstrap_files": [
"Makefile"
],
"api_schema_files": [],
"has_devcontainer": false,
"typecheck_configs": [
"config/mypy.ini"
],
"largest_source_bytes": 86964,
"source_files_sampled": 125,
"oversized_source_files": 3,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"dependencies": {
"manifests": [
"pyproject.toml"
],
"ecosystems": [
"pypi"
],
"dependencies": [
{
"name": "matplotlib",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=3.7.5"
},
{
"name": "numpy",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=1.24.4"
},
{
"name": "opencv-python",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=4.10.0.84"
},
{
"name": "opencv-python-headless",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=4.10.0.84"
},
{
"name": "requests",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=2.0.0"
},
{
"name": "tqdm",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=4.67.0"
},
{
"name": "pyyaml",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=6.0.2"
},
{
"name": "albumentations",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=1.4.18"
},
{
"name": "dict2xml",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=1.7.6"
},
{
"name": "rich",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=14.0.0"
},
{
"name": "datasets",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": null
}
],
"all_dependencies": {
"error": null,
"source": "github-sbom",
"packages": [
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"name": "albumentations",
"direct": true,
"version": "2.0.5",
"ecosystem": "pypi"
},
{
"name": "datasets",
"direct": true,
"version": "5.0.0",
"ecosystem": "pypi"
},
{
"name": "dict2xml",
"direct": true,
"version": "1.7.6",
"ecosystem": "pypi"
},
{
"name": "matplotlib",
"direct": true,
"version": "3.10.1",
"ecosystem": "pypi"
},
{
"name": "numpy",
"direct": true,
"version": "2.2.4",
"ecosystem": "pypi"
},
{
"name": "opencv-python",
"direct": true,
"version": "4.11.0.86",
"ecosystem": "pypi"
},
{
"name": "opencv-python-headless",
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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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]
},
{
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{
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"details": [
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{
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{
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{
"key": "issue_template",
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{
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],
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{
"key": "governance",
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"note": null,
"notes": [],
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"components": [
{
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}
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"max_points": 54
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{
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"status": "partial",
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{
"code": "top_contributor_share",
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}
],
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{
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"details": [
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{
"key": "openssf_scorecard_contributors",
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"status": "partial",
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"max_points": 10
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]
},
{
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"note": null,
"notes": [],
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"issue_closed_ratio": 0.667,
"closed_unmerged_prs": 2
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"components": [
{
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"status": "partial",
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{
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}
],
"max_points": 46.75
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{
"key": "pr_acceptance",
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"status": "partial",
"details": [
{
"code": "decided_prs_merged",
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"max_points": 38.25
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{
"key": "openssf_scorecard_code_review",
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"points": 0,
"status": "missed",
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]
},
{
"key": "stewardship",
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"notes": [],
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"owner_login": "Project-AgML",
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"components": [
{
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"status": "met",
"details": [
{
"code": "owner_organization",
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],
"max_points": 30
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{
"key": "verified_domain",
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"detail": null,
"points": 0,
"status": "missed",
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{
"key": "owner_reach",
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"status": "partial",
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{
"code": "owner_followers",
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"count": 49,
"login": "Project-AgML"
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],
"max_points": 25
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{
"key": "track_record",
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"points": 14.2,
"status": "partial",
"details": [
{
"code": "public_repos",
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"count": 4
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},
{
"code": "account_age_years",
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"years": 4
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}
],
"max_points": 25
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]
},
{
"key": "package_maintenance",
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"notes": [],
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"ecosystems": "pypi",
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"min_days_since_publish": 3
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"components": [
{
"key": "published_resolvable",
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"points": 25,
"status": "met",
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"code": "packages_published",
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"count": 1,
"ecosystems": "pypi"
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}
],
"max_points": 25
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{
"key": "publish_recency",
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"status": "met",
"details": [
{
"code": "publish_recency",
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"days": 3
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}
],
"max_points": 35
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{
"key": "version_history",
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"detail": "30 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
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"count": 30
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}
],
"max_points": 20
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{
"key": "not_deprecated",
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"details": [
{
"code": "package_not_deprecated",
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],
"max_points": 20
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]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
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"name": "Engineering Quality",
"value": 86,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "good",
"name": "Engineering practices",
"note": null,
"notes": [],
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"inputs": {
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"components": [
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"details": [
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"code": "ci_workflows",
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}
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{
"key": "tests_present",
"name": "Tests present",
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"details": [],
"max_points": 24
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{
"key": "linter_config",
"name": "Linter config",
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"details": [
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"code": "file_list",
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{
"key": "pre_commit_hooks",
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"status": "missed",
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{
"key": "editorconfig",
"name": ".editorconfig",
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{
"key": "openssf_scorecard_ci_tests",
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]
},
{
"key": "documentation",
"band": "excellent",
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"notes": [],
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"inputs": {
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"pytorch",
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"has_wiki": false,
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"has_docs_dir": true,
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"components": [
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"key": "readme",
"name": "README",
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{
"key": "documentation_directory",
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{
"key": "documentation_homepage_site",
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{
"key": "repository_description",
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"points": 10,
"status": "met",
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{
"key": "topics",
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{
"key": "wiki",
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"status": "missed",
"details": [],
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]
}
],
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{
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"components": [
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{
"key": "branch_protection",
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{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
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"status": "missed",
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{
"key": "code_review",
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"status": "missed",
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{
"key": "contributors",
"name": "Contributors",
"detail": "project has 2 contributing companies or organizations -- score normalized to 6",
"points": 1.5,
"status": "partial",
"details": [],
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{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
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},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "no update tool detected",
"points": 0,
"status": "missed",
"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": "22 commit(s) and 0 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 not detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
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],
"max_points": 5
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{
"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
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{
"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": "22 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"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": [
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"Iran",
"North Korea"
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"review_only_matches": 0,
"assessed_self_published_locations": 4
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"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",
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}
],
"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": 54,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
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"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 1,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"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": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
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]
},
{
"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": [
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"code": "excluded_no_data",
"params": {
"components": [
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},
{
"code": "weights_renormalized",
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],
"value": 88,
"inputs": {
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"has_tests": true,
"lockfiles": [
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"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
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"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": {
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}
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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 v0.11.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.