Public recordModerate
Software health reportschema 0.16.0 · metrics 1.13.0 · 2026-07-20 21:06 UTC
openclimatefix / ocf-data-sampler
A repo for sampling from weather data for renewable energy prediction
openclimatefix/ocf-data-sampler 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 AI Readiness (28/100). It was last updated today. 2 contributors account 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
Open Climate FixOrganization
914 followers44 public repossince Mar 2019
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 | ocf-data-sampler | 1.0.23 | 2,427 | 173 | 0 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
81
Development activity
76Good
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 19.4/36 | Commit cadence — 28/52 weeks with commits |
| 16.8/18 | Commit volume — 73 commits in the last year |
| 4/10 | OpenSSF Scorecard: Maintained — 4 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 4 |
Inputs used
| commits_last_year | 73 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 28 |
Release discipline
88Excellent
How it's scored
| 16.2/27 | Ships releases — 100 version tags (no GitHub releases) |
| 36/36 | Release recency — latest release 0 days ago |
| 27/27 | Release cadence — a release every ~16.1 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 100 |
| latest_release_tag | v1.0.23 |
| releases_from_tags | yes |
| days_since_latest_release | 0 |
| mean_days_between_releases | 16.1 |
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?
48
Popularity & adoption
36At risk
How it's scored
| 20.4/60 | Stars — 19 stars |
| 13.5/25 | Forks — 43 forks |
| 1.7/15 | Watchers — 3 watchers |
Inputs used
| forks | 43 |
| stars | 19 |
| watchers | 3 |
| 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 (MIT) |
| 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 |
Ecosystem adoption (downloads)
56Moderate
How it's scored
| 45.1/80 | Monthly downloads — 2,427 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | ocf-data-sampler |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 2,427 |
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
79
Maintainer resilience (bus factor)
62Moderate
How it's scored
| 25.2/54 | Bus factor — 2 contributor(s) cover half of all commits |
| 13.4/22.5 | Commit distribution — top contributor authored 40% of commits |
| 13.5/13.5 | Contributor breadth — 26 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 7 contributing companies or organizations |
Inputs used
| bus_factor | 2 |
| contributors_sampled | 26 |
| top_contributor_share | 0.405 |
Issue & PR responsiveness
87Excellent
How it's scored
| 40.5/46.8 | Issue resolution — 87% of issues closed |
| 31.3/38.3 | PR acceptance — 224/274 decided PRs merged |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Inputs used
| merged_prs | 224 |
| open_issues | 18 |
| closed_issues | 117 |
| issue_closed_ratio | 0.867 |
| closed_unmerged_prs | 50 |
Ownership & stewardship
75Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 21.3/25 | Owner reach — 914 followers of openclimatefix |
| 24/25 | Track record — 44 public repos, account ~7 yr old |
Inputs used
| followers | 914 |
| owner_type | Organization |
| is_verified | — |
| owner_login | openclimatefix |
| public_repos | 44 |
| account_age_days | 2,691 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 0 days ago |
| 20/20 | Version history — 173 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | ocf-data-sampler |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Engineering Quality
Are baseline engineering and documentation practices in place?
57
Engineering practices
68Moderate
How it's scored
| 24/24 | CI workflows — 5 workflow(s) |
| 24/24 | Tests present |
| 0/16 | Linter config |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 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 | no |
| has_precommit_config | no |
Documentation
40At risk
How it's scored
| 30/30 | README |
| 0/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 10/10 | Repository description |
| 0/10 | Topics |
| 0/10 | Wiki |
Inputs used
| topics | — |
| has_wiki | no |
| 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?
58
Security posture
47At risk
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0.8/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 30 out of 30 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 |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 7 contributing companies or organizations |
| 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 |
| 3/7.5 | Maintained — 4 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 4 |
| 0/5 | Packaging — no data |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 4.7 |
Excluded from scoring (no data or not applicable): packaging, 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 |
| 0/25 | Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope |
| 0/40 | No advisories left outstanding — no advisory carries a publication date |
Inputs used
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 103 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 103 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.
28
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.
How it's scored
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 0/11 | 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 | no |
| 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 — 0/73 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 19,320 |
| source_files_sampled | 73 |
| oversized_source_files | 0 |
Key facts
19GitHub stars
26contributors
73commits, last 12 months
0days since last push
100releases
2bus factor
18open issues
PyPIpackage ecosystems
Data collection warnings
- deps.dev does not index pypi:ocf-data-sampler@1.0.23; advisories assessed against the repository dependency graph instead
More detail
OpenSSF Scorecard 4.7 / 10
4.7aggregate
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 |
| 1 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 30 out of 30 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 |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 7 contributing companies or organizations |
| 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 |
| 4 | Maintained | 4 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 4 |
| n/a | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| n/a | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direct dependencies 16
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | torch | — | pyproject.toml |
| PyPI | numpy | — | pyproject.toml |
| PyPI | pandas | — | pyproject.toml |
| PyPI | xarray | — | pyproject.toml |
| PyPI | zarr | — | pyproject.toml |
| PyPI | numcodecs | — | pyproject.toml |
| PyPI | dask | — | pyproject.toml |
| PyPI | matplotlib | — | pyproject.toml |
| PyPI | pvlib | — | pyproject.toml |
| PyPI | pydantic | >=2.11.8 | pyproject.toml |
| PyPI | pyproj | — | pyproject.toml |
| PyPI | pyaml_env | — | pyproject.toml |
| PyPI | pyresample | — | pyproject.toml |
| PyPI | h5netcdf | — | pyproject.toml |
| PyPI | xarray-tensorstore | ==0.1.5 | pyproject.toml |
| PyPI | zarr | >=3 | pyproject.toml |
All dependencies 103
Full resolved dependency set from the GitHub dependency graph: 17 direct and 86 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | dask | 2026.7.1 | direct |
| PyPI | h5netcdf | 1.8.1 | direct |
| PyPI | matplotlib | 3.11.1 | direct |
| PyPI | numcodecs | 0.16.5 | direct |
| PyPI | numpy | 2.4.6 | direct |
| PyPI | numpy | 2.5.1 | direct |
| PyPI | pandas | 3.0.3 | direct |
| PyPI | pvlib | 0.15.2 | direct |
| PyPI | pyaml-env | 1.2.2 | direct |
| PyPI | pydantic | 2.13.4 | direct |
| PyPI | pyproj | 3.7.2 | direct |
| PyPI | pyresample | 1.35.0 | direct |
| PyPI | torch | 2.13.0 | direct |
| PyPI | xarray | 2026.7.0 | direct |
| PyPI | xarray-tensorstore | 0.1.5 | direct |
| PyPI | zarr | 3.1.6 | direct |
| PyPI | zarr | 3.2.1 | direct |
| PyPI | annotated-types | 0.7.0 | indirect |
| PyPI | attrs | 26.1.0 | indirect |
| PyPI | black | 26.5.1 | indirect |
| PyPI | cattrs | 26.1.0 | indirect |
| PyPI | certifi | 2026.6.17 | 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 | configobj | 5.0.9 | indirect |
| PyPI | contourpy | 1.3.3 | indirect |
| PyPI | cuda-bindings | 13.3.1 | indirect |
| PyPI | cuda-pathfinder | 1.5.6 | indirect |
| PyPI | cuda-toolkit | 13.0.3.0 | indirect |
| PyPI | cycler | 0.12.1 | indirect |
| PyPI | docstring-to-markdown | 0.17 | indirect |
| PyPI | donfig | 0.8.1.post1 | indirect |
| PyPI | filelock | 3.31.1 | indirect |
| PyPI | fonttools | 4.63.0 | indirect |
| PyPI | fsspec | 2026.6.0 | indirect |
| PyPI | google-crc32c | 1.8.0 | indirect |
| PyPI | h5py | 3.16.0 | indirect |
| PyPI | idna | 3.18 | indirect |
| PyPI | importlib-metadata | 9.0.0 | indirect |
| PyPI | iniconfig | 2.3.0 | indirect |
| PyPI | jedi | 0.19.2 | indirect |
| PyPI | jinja2 | 3.1.6 | indirect |
| PyPI | kiwisolver | 1.5.0 | indirect |
| PyPI | locket | 1.0.0 | indirect |
| PyPI | lsprotocol | 2025.0.0 | indirect |
| PyPI | markupsafe | 3.0.3 | indirect |
| PyPI | ml-dtypes | 0.5.4 | indirect |
| PyPI | mpmath | 1.3.0 | indirect |
| PyPI | mypy-extensions | 1.1.0 | indirect |
| PyPI | networkx | 3.6.1 | indirect |
| PyPI | nvidia-cublas | 13.1.1.3 | indirect |
| PyPI | nvidia-cuda-cupti | 13.0.85 | indirect |
| PyPI | nvidia-cuda-nvrtc | 13.0.88 | indirect |
| PyPI | nvidia-cuda-runtime | 13.0.96 | indirect |
| PyPI | nvidia-cudnn-cu13 | 9.20.0.48 | indirect |
| PyPI | nvidia-cufft | 12.0.0.61 | indirect |
| PyPI | nvidia-cufile | 1.15.1.6 | indirect |
| PyPI | nvidia-curand | 10.4.0.35 | indirect |
| PyPI | nvidia-cusolver | 12.0.4.66 | indirect |
| PyPI | nvidia-cusparse | 12.6.3.3 | indirect |
| PyPI | nvidia-cusparselt-cu13 | 0.8.1 | indirect |
| PyPI | nvidia-nccl-cu13 | 2.29.7 | indirect |
| PyPI | nvidia-nvjitlink | 13.3.33 | indirect |
| PyPI | nvidia-nvshmem-cu13 | 3.4.5 | indirect |
| PyPI | nvidia-nvtx | 13.0.85 | indirect |
| PyPI | packaging | 26.2 | indirect |
| PyPI | parso | 0.8.7 | indirect |
| PyPI | partd | 1.4.2 | indirect |
| PyPI | pathspec | 1.1.1 | indirect |
| PyPI | pillow | 12.3.0 | indirect |
| PyPI | platformdirs | 4.10.1 | indirect |
| PyPI | pluggy | 1.6.0 | indirect |
| PyPI | pydantic-core | 2.46.4 | indirect |
| PyPI | pygments | 2.20.0 | indirect |
| PyPI | pykdtree | 1.4.3 | indirect |
| PyPI | pyparsing | 3.3.2 | indirect |
| PyPI | pytest | 9.1.1 | indirect |
| PyPI | python-dateutil | 2.9.0.post0 | indirect |
| PyPI | python-lsp-jsonrpc | 1.1.2 | indirect |
| PyPI | python-lsp-ruff | 2.3.1 | indirect |
| PyPI | python-lsp-server | 1.14.0 | indirect |
| PyPI | pytokens | 0.4.1 | indirect |
| PyPI | pytz | 2026.2 | indirect |
| PyPI | pyyaml | 6.0.3 | indirect |
| PyPI | requests | 2.34.2 | indirect |
| PyPI | ruff | 0.15.22 | indirect |
| PyPI | scipy | 1.17.1 | indirect |
| PyPI | scipy | 1.18.0 | indirect |
| PyPI | setuptools | 83.0.0 | indirect |
| PyPI | shapely | 2.1.2 | indirect |
| PyPI | six | 1.17.0 | indirect |
| PyPI | sympy | 1.14.0 | indirect |
| PyPI | tensorstore | 0.1.84 | indirect |
| PyPI | toolz | 1.1.0 | indirect |
| PyPI | triton | 3.7.1 | indirect |
| PyPI | typing-extensions | 4.16.0 | indirect |
| PyPI | typing-inspection | 0.4.2 | indirect |
| PyPI | tzdata | 2026.3 | indirect |
| PyPI | ujson | 5.13.0 | indirect |
| PyPI | urllib3 | 2.7.0 | indirect |
| PyPI | zipp | 4.1.0 | indirect |
Dependency advisories 0
This repository publishes no package the index resolves, so its own dependency graph was assessed — 103 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.
No known advisories affect the assessed dependencies.
An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.
Raw JSON report machine-readable
{
"data": {
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},
"pushed_at": "2026-07-20T18:50:52Z",
"created_at": "2024-07-30T13:27:28Z",
"owner_type": "Organization",
"updated_at": "2026-07-20T16:37:11Z",
"description": "A repo for sampling from weather data for renewable energy prediction",
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"latest_release_tag": "v1.0.23",
"releases_from_tags": true,
"days_since_last_push": 0,
"active_weeks_last_year": 28,
"days_since_latest_release": 0,
"mean_days_between_releases": 16.1
},
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},
"ecosystem": {
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"license": null,
"keywords": [
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"Programming Language :: Python :: 3"
],
"ecosystem": "pypi",
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"registry_url": "https://pypi.org/project/ocf-data-sampler/",
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"repository_url": "https://github.com/openclimatefix/ocf-data-sampler",
"versions_count": 173,
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"dependents_count": null,
"deprecation_note": null,
"maintainers_count": null,
"monthly_downloads": 2427,
"first_published_at": "2024-08-13T15:56:18.706844Z",
"latest_published_at": "2026-07-20T16:37:26.581306Z",
"latest_version_yanked": null,
"days_since_latest_publish": 0
}
]
},
"popularity": {
"forks": 43,
"stars": 19,
"watchers": 3,
"open_issues_and_prs": 22
},
"ai_readiness": {
"has_nix": false,
"example_dirs": [],
"has_llms_txt": false,
"has_dockerfile": false,
"has_mcp_signal": false,
"bootstrap_files": [],
"api_schema_files": [],
"has_devcontainer": false,
"typecheck_configs": [],
"largest_source_bytes": 19320,
"source_files_sampled": 73,
"oversized_source_files": 0,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"dependencies": {
"manifests": [
"pyproject.toml"
],
"advisories": {
"error": null,
"scope": "repository_graph",
"source": "osv",
"findings": [],
"collected": true,
"truncated": false,
"by_severity": {},
"advisory_count": 0,
"affected_count": 0,
"assessed_count": 103,
"assessed_package": null,
"unassessed_count": 0,
"direct_affected_count": 0
},
"ecosystems": [
"pypi"
],
"dependencies": [
{
"name": "torch",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": null
},
{
"name": "numpy",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": null
},
{
"name": "pandas",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": null
},
{
"name": "xarray",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": null
},
{
"name": "zarr",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
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"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "0 existing vulnerabilities detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 103 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"indirect_dependencies_free_of_known_advisories",
"no_advisories_left_outstanding"
]
}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_repository",
"params": {
"assessed": 103
}
},
{
"code": "advisories_repo_graph_caveat",
"params": {}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 0,
"affected_packages": 0,
"assessed_packages": 103,
"unassessed_packages": 0,
"affected_by_severity": "none",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "transitive set not separable from development and test dependencies in this scope",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_scope_not_separable",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 103,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "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": 9
},
"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": "critical",
"name": "AI Readiness",
"value": 28,
"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": "at_risk",
"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": 39,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": false,
"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": 0,
"status": "missed",
"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": 19320,
"source_files_sampled": 73,
"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": "0/73 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 73,
"oversized": 0
}
}
],
"max_points": 55
}
]
}
],
"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": [
"deps.dev does not index pypi:ocf-data-sampler@1.0.23; advisories assessed against the repository dependency graph instead"
],
"report_type": "repository",
"generated_at": "2026-07-20T21:06:15.107762Z",
"schema_version": "0.16.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/o/openclimatefix/ocf-data-sampler.svg",
"full_name": "openclimatefix/ocf-data-sampler",
"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 v0.16.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.