Public recordModerate
Software health reportschema 0.12.0 · metrics 1.13.0 · 2026-07-17 21:52 UTC
ices-tools-dev / echosms
Making acoustic scattering models available to fisheries and plankton scientists via the world wide web
ices-tools-dev/echosms holds a health index of 68 out of 100, placing it in the Moderate band. It scores highest on Vitality (97/100) and lowest on AI Readiness (35/100). It was last updated today. A single contributor accounts for most of its recent work.
68
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
68
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
Score profile
Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.
Ownership
ICES tools (development area)Organization
28 followers91 public repossince Jul 2016
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 | echosms | 0.23.1 | - | 73 | 2 days ago | acousticbackscattermodel |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
97
Development activity
96Excellent
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 31.8/36 | Commit cadence — 46/52 weeks with commits |
| 18/18 | Commit volume — 427 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 | 427 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 46 |
Release discipline
98Excellent
How it's scored
| 27/27 | Ships releases — 65 releases published |
| 36/36 | Release recency — latest release 2 days ago |
| 27/27 | Release cadence — a release every ~9.6 days |
| 8/10 | OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts. |
Inputs used
| releases_count | 65 |
| latest_release_tag | v0.23.1 |
| releases_from_tags | no |
| days_since_latest_release | 2 |
| mean_days_between_releases | 9.6 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
40
Popularity & adoption
32At risk
How it's scored
| 21.4/60 | Stars — 22 stars |
| 5.8/25 | Forks — 6 forks |
| 4.7/15 | Watchers — 8 watchers |
Inputs used
| forks | 6 |
| stars | 22 |
| watchers | 8 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
50Moderate
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 0/18 | CONTRIBUTING guide |
| 0/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 0/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
57
Maintainer resilience (bus factor)
19Critical
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 0.6/22.5 | Commit distribution — top contributor authored 97% of commits |
| 6.8/13.5 | Contributor breadth — 5 contributors |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 5 |
| top_contributor_share | 0.973 |
Issue & PR responsiveness
61Moderate
How it's scored
| 24.6/46.8 | Issue resolution — 53% of issues closed |
| 36.3/38.3 | PR acceptance — 19/20 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
Inputs used
| merged_prs | 19 |
| open_issues | 9 |
| closed_issues | 10 |
| issue_closed_ratio | 0.526 |
| closed_unmerged_prs | 1 |
Ownership & stewardship
66Moderate
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 10.5/25 | Owner reach — 28 followers of ices-tools-dev |
| 25/25 | Track record — 91 public repos, account ~10 yr old |
Inputs used
| followers | 28 |
| owner_type | Organization |
| is_verified | — |
| owner_login | ices-tools-dev |
| public_repos | 91 |
| account_age_days | 3,650 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 2 days ago |
| 20/20 | Version history — 73 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | echosms |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 2 |
Engineering Quality
Are baseline engineering and documentation practices in place?
91
Engineering practices
92Excellent
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 |
| 0/20 | OpenSSF Scorecard: CI-Tests — no data |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | yes |
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.
Documentation
90Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://ices-tools-dev.github.io/echoSMs/ |
| 10/10 | Repository description |
| 10/10 | Topics — 6 topics |
| 0/10 | Wiki |
Inputs used
| topics | acoustics, backscatter, fisheries, models, plankton, scattering |
| has_wiki | no |
| homepage | https://ices-tools-dev.github.io/echoSMs/ |
| 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?
46
Security posture
46At risk
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 0/2.5 | CI-Tests — no data |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 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 — 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 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — no SAST tool detected |
| 0/5 | Security-Policy — security policy file not detected |
| 6/7.5 | Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 4.6 |
Excluded from scoring (no data or not applicable): ci_tests. 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.
35
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)
52Moderate
How it's scored
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 0/11 | Static type checking |
| 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 | — |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | — |
| 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.
Code legibility for models
55Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 55/55 | Manageable file sizes — 0/107 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 57,470 |
| source_files_sampled | 107 |
| oversized_source_files | 0 |
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
22GitHub stars
5contributors
427commits, last 12 months
0days since last push
65releases
1bus factor
9open issues
PyPIpackage ecosystems
More detail
OpenSSF Scorecard 4.6 / 10
4.6aggregate
Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| n/a | CI-Tests | no pull request found |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/30 approved changesets -- score normalized to 0 |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| 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 | 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | no SAST tool detected |
| 0 | Security-Policy | security policy file not detected |
| 8 | Signed-Releases | 5 out of the last 5 releases have a total of 5 signed artifacts. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direct dependencies 21
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | numpy | — | pyproject.toml |
| PyPI | scipy | — | pyproject.toml |
| PyPI | pandas | — | pyproject.toml |
| PyPI | xarray | — | pyproject.toml |
| PyPI | tomli | >= 1.1.0 | pyproject.toml |
| PyPI | backports.strenum | >= 1.3.1 | pyproject.toml |
| PyPI | trimesh | — | pyproject.toml |
| PyPI | pymeshlab | — | pyproject.toml |
| PyPI | shapely | — | pyproject.toml |
| PyPI | mapbox_earcut | — | pyproject.toml |
| PyPI | spheroidalwavefunctions | — | pyproject.toml |
| PyPI | tqdm | — | pyproject.toml |
| PyPI | mapply | — | pyproject.toml |
| PyPI | requests | — | pyproject.toml |
| PyPI | rtoml | — | pyproject.toml |
| PyPI | urllib3 | >= 2.7.0 | pyproject.toml |
| PyPI | matplotlib | — | pyproject.toml |
| PyPI | rich | — | pyproject.toml |
| PyPI | jsonschema-rs | — | pyproject.toml |
| PyPI | orjson | — | pyproject.toml |
| PyPI | manifold3d | — | pyproject.toml |
All dependencies 129
Full resolved dependency set from the GitHub dependency graph: 29 direct and 100 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | backports-strenum | 1.3.1 | direct |
| PyPI | jsonschema-rs | 0.46.10 | direct |
| PyPI | manifold3d | 3.5.2 | direct |
| PyPI | mapbox-earcut | 2.0.0 | direct |
| PyPI | mapply | 0.1.31 | direct |
| PyPI | mapply | 0.2.0 | direct |
| PyPI | matplotlib | 3.10.9 | direct |
| PyPI | matplotlib | 3.11.0 | direct |
| PyPI | numpy | 2.2.6 | direct |
| PyPI | numpy | 2.4.6 | direct |
| PyPI | numpy | 2.5.1 | direct |
| PyPI | orjson | 3.11.9 | direct |
| PyPI | pandas | 2.3.3 | direct |
| PyPI | pandas | 3.0.3 | direct |
| PyPI | pymeshlab | 2025.7.post1 | direct |
| PyPI | requests | 2.34.2 | direct |
| PyPI | rich | 15.0.0 | direct |
| PyPI | rtoml | 0.13.0 | direct |
| PyPI | scipy | 1.15.3 | direct |
| PyPI | scipy | 1.17.1 | direct |
| PyPI | scipy | 1.18.0 | direct |
| PyPI | shapely | 2.1.2 | direct |
| PyPI | spheroidalwavefunctions | 0.1.5 | direct |
| PyPI | tomli | 2.4.1 | direct |
| PyPI | tqdm | 4.68.4 | direct |
| PyPI | trimesh | 4.12.2 | direct |
| PyPI | urllib3 | 2.7.0 | direct |
| PyPI | xarray | 2025.6.1 | direct |
| PyPI | xarray | 2026.4.0 | direct |
| PyPI | appnope | 0.1.4 | indirect |
| PyPI | asttokens | 3.0.1 | indirect |
| PyPI | babel | 2.18.0 | indirect |
| PyPI | backrefs | 7.0 | indirect |
| PyPI | certifi | 2026.6.17 | indirect |
| PyPI | cffi | 2.1.0 | indirect |
| PyPI | charset-normalizer | 3.4.9 | indirect |
| PyPI | click | 8.4.2 | indirect |
| PyPI | cloudpickle | 3.1.2 | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | comm | 0.2.3 | indirect |
| PyPI | contourpy | 1.3.2 | indirect |
| PyPI | contourpy | 1.3.3 | indirect |
| PyPI | cycler | 0.12.1 | indirect |
| PyPI | dataclasses-json | 0.6.7 | indirect |
| PyPI | debugpy | 1.8.21 | indirect |
| PyPI | decorator | 5.3.1 | indirect |
| PyPI | deepmerge | 2.1.0 | indirect |
| PyPI | dill | 0.4.1 | indirect |
| PyPI | exceptiongroup | 1.3.1 | indirect |
| PyPI | executing | 2.2.1 | indirect |
| PyPI | fonttools | 4.63.0 | indirect |
| PyPI | ghp-import | 2.1.0 | indirect |
| PyPI | griffelib | 2.1.0 | indirect |
| PyPI | hjson | 3.1.0 | indirect |
| PyPI | idna | 3.18 | indirect |
| PyPI | iniconfig | 2.3.0 | indirect |
| PyPI | ipykernel | 6.31.0 | indirect |
| PyPI | ipython | 8.39.0 | indirect |
| PyPI | ipython | 9.15.0 | indirect |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirect |
| PyPI | jedi | 0.20.0 | indirect |
| PyPI | jinja2 | 3.1.6 | indirect |
| PyPI | json-schema-for-humans | 1.5.1 | indirect |
| PyPI | jupyter-client | 8.9.1 | indirect |
| PyPI | jupyter-core | 5.9.1 | indirect |
| PyPI | kiwisolver | 1.5.0 | indirect |
| PyPI | markdown | 3.10.2 | indirect |
| PyPI | markdown-it-py | 4.2.0 | indirect |
| PyPI | markdown2 | 2.5.5 | indirect |
| PyPI | markupsafe | 3.0.3 | indirect |
| PyPI | marshmallow | 3.26.2 | indirect |
| PyPI | matplotlib-inline | 0.2.2 | indirect |
| PyPI | mdurl | 0.1.2 | indirect |
| PyPI | mergedeep | 1.3.4 | indirect |
| PyPI | mkdocs | — | indirect |
| PyPI | mkdocs | 1.6.1 | indirect |
| PyPI | mkdocs-autorefs | 1.4.4 | indirect |
| PyPI | mkdocs-get-deps | 0.2.2 | indirect |
| PyPI | mkdocs-glightbox | 0.5.2 | indirect |
| PyPI | mkdocs-macros-plugin | 1.5.0 | indirect |
| PyPI | mkdocs-material | — | indirect |
| PyPI | mkdocs-material | 9.7.6 | indirect |
| PyPI | mkdocs-material-extensions | 1.3.1 | indirect |
| PyPI | mkdocstrings | 1.0.4 | indirect |
| PyPI | mkdocstrings-python | 2.0.5 | indirect |
| PyPI | multiprocess | 0.70.19 | indirect |
| PyPI | mypy-extensions | 1.1.0 | indirect |
| PyPI | nest-asyncio | 1.6.0 | indirect |
| PyPI | packaging | 26.2 | indirect |
| PyPI | paginate | 0.5.7 | indirect |
| PyPI | parso | 0.8.7 | indirect |
| PyPI | pathos | 0.3.5 | indirect |
| PyPI | pathspec | 1.1.1 | indirect |
| PyPI | pexpect | 4.9.0 | indirect |
| PyPI | pillow | 12.3.0 | indirect |
| PyPI | platformdirs | 4.10.0 | indirect |
| PyPI | pluggy | 1.6.0 | indirect |
| PyPI | pox | 0.3.7 | indirect |
| PyPI | ppft | 1.7.8 | indirect |
| PyPI | prompt-toolkit | 3.0.52 | indirect |
| PyPI | psutil | 7.2.2 | indirect |
| PyPI | ptyprocess | 0.7.0 | indirect |
| PyPI | pure-eval | 0.2.3 | indirect |
| PyPI | pycparser | 3.0 | indirect |
| PyPI | pygments | 2.20.0 | indirect |
| PyPI | pymdown-extensions | 11.0.1 | indirect |
| PyPI | pyparsing | 3.3.2 | indirect |
| PyPI | pytest | 9.1.1 | indirect |
| PyPI | python-dateutil | 2.9.0.post0 | indirect |
| PyPI | pytz | 2026.2 | indirect |
| PyPI | pyxdg | 0.28 | indirect |
| PyPI | pyyaml | 6.0.3 | indirect |
| PyPI | pyyaml-env-tag | 1.1 | indirect |
| PyPI | pyzmq | 27.1.0 | indirect |
| PyPI | selectolax | 0.4.10 | indirect |
| PyPI | six | 1.17.0 | indirect |
| PyPI | spyder-kernels | 3.1.5 | indirect |
| PyPI | stack-data | 0.6.3 | indirect |
| PyPI | super-collections | 0.6.2 | indirect |
| PyPI | termcolor | 3.3.0 | indirect |
| PyPI | tornado | 6.5.7 | indirect |
| PyPI | traitlets | 5.15.1 | indirect |
| PyPI | typing-extensions | 4.16.0 | indirect |
| PyPI | typing-inspect | 0.9.0 | indirect |
| PyPI | tzdata | 2026.2 | indirect |
| PyPI | watchdog | 6.0.0 | indirect |
| PyPI | wcwidth | 0.8.2 | indirect |
| PyPI | wurlitzer | 3.1.1 | indirect |
| PyPI | zensical | 0.0.50 | indirect |
Raw JSON report machine-readable
{
"data": {
"repo": {
"topics": [
"acoustics",
"backscatter",
"fisheries",
"models",
"plankton",
"scattering"
],
"is_fork": false,
"size_kb": 14116,
"has_wiki": false,
"homepage": "https://ices-tools-dev.github.io/echoSMs/",
"languages": {
"Roff": 21032,
"MATLAB": 191039,
"Python": 298388,
"QuickBASIC": 23960
},
"pushed_at": "2026-07-17T02:45:47Z",
"created_at": "2024-05-23T10:27:10Z",
"owner_type": "Organization",
"updated_at": "2026-07-17T02:45:21Z",
"description": "Making acoustic scattering models available to fisheries and plankton scientists via the world wide web",
"is_archived": false,
"is_disabled": false,
"license_spdx": "MIT",
"default_branch": "main",
"primary_language": "Python",
"significant_languages": [
"Python",
"MATLAB"
]
},
"owner": {
"blog": "https://www.ices.dk/data/tools/Pages/Software.aspx",
"name": "ICES tools (development area)",
"type": "Organization",
"login": "ices-tools-dev",
"company": null,
"location": "Copenhagen, Denmark",
"followers": 28,
"avatar_url": "https://avatars.githubusercontent.com/u/20533855?v=4",
"created_at": "2016-07-19T08:28:52Z",
"is_verified": null,
"public_repos": 91,
"account_age_days": 3650
},
"activity": {
"releases_count": 65,
"commits_last_year": 427,
"latest_release_at": "2026-07-14T22:39:06Z",
"latest_release_tag": "v0.23.1",
"releases_from_tags": false,
"days_since_last_push": 0,
"active_weeks_last_year": 46,
"days_since_latest_release": 2,
"mean_days_between_releases": 9.6
},
"community": {
"has_readme": true,
"has_license": true,
"has_description": true,
"has_contributing": false,
"health_percentage": 37,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"ecosystem": {
"packages": [
{
"name": "echosms",
"exists": true,
"license": null,
"keywords": [
"acoustic",
"backscatter",
"model",
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3.14",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Oceanography",
"Topic :: Scientific/Engineering :: Physics"
],
"ecosystem": "pypi",
"matches_repo": true,
"registry_url": "https://pypi.org/project/echosms/",
"is_deprecated": false,
"latest_version": "0.23.1",
"repository_url": "https://github.com/ices-tools-dev/echoSMs",
"versions_count": 73,
"total_downloads": null,
"dependents_count": null,
"deprecation_note": null,
"maintainers_count": null,
"monthly_downloads": null,
"first_published_at": "2024-08-09T02:24:12.039637Z",
"latest_published_at": "2026-07-14T22:38:44.601506Z",
"latest_version_yanked": null,
"days_since_latest_publish": 2
}
]
},
"popularity": {
"forks": 6,
"stars": 22,
"watchers": 8,
"open_issues_and_prs": 9
},
"ai_readiness": {
"has_nix": false,
"example_dirs": [
"notebooks"
],
"has_llms_txt": false,
"has_dockerfile": false,
"has_mcp_signal": false,
"bootstrap_files": [],
"api_schema_files": [],
"has_devcontainer": false,
"typecheck_configs": [],
"largest_source_bytes": 57470,
"source_files_sampled": 107,
"oversized_source_files": 0,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"dependencies": {
"manifests": [
"pyproject.toml"
],
"ecosystems": [
"pypi"
],
"dependencies": [
{
"name": "numpy",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": null
},
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"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"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 0/30 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 1 contributing companies or organizations -- score normalized to 3",
"points": 0.8,
"status": "partial",
"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": "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": "30 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 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 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "no SAST tool detected",
"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": "5 out of the last 5 releases have a total of 5 signed artifacts.",
"points": 6,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "0 existing vulnerabilities detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 3
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "at_risk",
"name": "AI Readiness",
"value": 35,
"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": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"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
}
]
},
{
"key": "ai_verify_loop",
"band": "moderate",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice",
"automated_maintenance"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 52,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": null
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": 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": "lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 55,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 57470,
"source_files_sampled": 107,
"oversized_source_files": 0
},
"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": "0/107 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 107,
"oversized": 0
}
}
],
"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": "2026-07-17T21:52:56.745364Z",
"schema_version": "0.12.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/i/ices-tools-dev/echosms.svg",
"full_name": "ices-tools-dev/echosms",
"license_state": "standard",
"license_spdx": "MIT"
}Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.
Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.12.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.