Public recordModerate
Software health reportschema 0.12.0 · metrics 1.13.0 · 2026-07-17 15:48 UTC
givasile / effector
Effector - a Python package for global and regional effect methods
givasile/effector holds a health index of 66 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (81/100) and lowest on AI Readiness (39/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.
66
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
66
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
Score profile
Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.
Ownership
Vasilis GkolemisPersonal account
21 followers34 public repossince Jun 2016"Athena" Research and Innovation Center
This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish | Tags |
|---|---|---|---|---|---|---|
| PyPI | effector | 0.5.0 | - | 50 | 2 days ago | explainabilityinterpretabilitymachine-learningdeep-learningregional-xaifeature-effect |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
75
Development activity
63Moderate
How it's scored
| 36/36 | Push recency — last push 1 days ago |
| 2.8/36 | Commit cadence — 4/52 weeks with commits |
| 14.3/18 | Commit volume — 38 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 | 38 |
| human_commit_share | — |
| days_since_last_push | 1 |
| active_weeks_last_year | 4 |
Release discipline
92Excellent
How it's scored
| 27/27 | Ships releases — 7 releases published |
| 36/36 | Release recency — latest release 2 days ago |
| 19.8/27 | Release cadence — a release every ~85.5 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 7 |
| latest_release_tag | v0.5.0 |
| releases_from_tags | no |
| days_since_latest_release | 2 |
| mean_days_between_releases | 85.5 |
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?
51
Popularity & adoption
35At risk
How it's scored
| 33.7/60 | Stars — 121 stars |
| 0/25 | Forks — 2 forks |
| 1.7/15 | Watchers — 3 watchers |
Inputs used
| forks | 2 |
| stars | 121 |
| watchers | 3 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
70Good
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 18/18 | 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 | yes |
| 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?
58
Maintainer resilience (bus factor)
22Critical
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 1.6/22.5 | Commit distribution — top contributor authored 93% of commits |
| 8.1/13.5 | Contributor breadth — 6 contributors |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 6 |
| top_contributor_share | 0.928 |
How it's scored
| 46.8/46.8 | Issue resolution — 100% of issues closed |
| 25.7/38.3 | PR acceptance — 41/61 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
Inputs used
| merged_prs | 41 |
| open_issues | 0 |
| closed_issues | 3 |
| issue_closed_ratio | 1 |
| closed_unmerged_prs | 20 |
Ownership & stewardship
54Moderate
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 9.7/25 | Owner reach — 21 followers of givasile |
| 23.2/25 | Track record — 34 public repos, account ~10 yr old |
Inputs used
| followers | 21 |
| owner_type | User |
| is_verified | — |
| owner_login | givasile |
| public_repos | 34 |
| account_age_days | 3,681 |
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
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 — 50 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | effector |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 2 |
Engineering Quality
Are baseline engineering and documentation practices in place?
81
Engineering practices
68Moderate
How it's scored
| 24/24 | CI workflows — 4 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 — 29 out of 29 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
100Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://xai-effector.github.io/ |
| 10/10 | Repository description |
| 10/10 | Topics — 3 topics |
| 10/10 | Wiki |
Inputs used
| topics | explainability, iml, xai |
| has_wiki | yes |
| homepage | https://xai-effector.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?
61
Security posture
61Moderate
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — no data |
| 2.5/2.5 | CI-Tests — 29 out of 29 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 0/30 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 |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | 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 |
| 7.5/7.5 | Token-Permissions — GitHub workflow tokens follow principle of least privilege |
| 4.5/7.5 | Vulnerabilities — 4 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 6.1 |
Excluded from scoring (no data or not applicable): branch_protection, signed_releases. Remaining weights renormalized.
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.
39
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)
61Moderate
How it's scored
| 18/18 | One-command bootstrap — Makefile |
| 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 |
| 5/8 | Automated maintenance — dependency automation configured, none observed in the sampled commits |
| 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 | no |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
Code legibility for models
54Moderate
How it's scored
| 0/45 | Type-checkable code — Jupyter Notebook without a type-check config |
| 54.3/55 | Manageable file sizes — 1/74 source files over 60KB |
Inputs used
| primary_language | Jupyter Notebook |
| largest_source_bytes | 76,354 |
| source_files_sampled | 74 |
| oversized_source_files | 1 |
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
121GitHub stars
6contributors
38commits, last 12 months
1days since last push
7releases
1bus factor
0open issues
PyPIpackage ecosystems
More detail
OpenSSF Scorecard 6.1 / 10
6.1aggregate
Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| n/a | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 10 | CI-Tests | 29 out of 29 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 0/30 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 |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 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 |
| 10 | Token-Permissions | GitHub workflow tokens follow principle of least privilege |
| 6 | Vulnerabilities | 4 existing vulnerabilities detected |
Direct dependencies 4
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | matplotlib | — | pyproject.toml |
| PyPI | numpy | — | pyproject.toml |
| PyPI | scipy | — | pyproject.toml |
| PyPI | tqdm | — | pyproject.toml |
All dependencies 275
Full resolved dependency set from the GitHub dependency graph: 13 direct and 262 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | matplotlib | — | direct |
| PyPI | matplotlib | 3.10.9 | direct |
| PyPI | matplotlib | 3.11.0 | direct |
| PyPI | numpy | — | direct |
| PyPI | numpy | 2.2.6 | direct |
| PyPI | numpy | 2.4.6 | direct |
| PyPI | numpy | 2.5.0 | direct |
| PyPI | scipy | — | direct |
| PyPI | scipy | 1.15.3 | direct |
| PyPI | scipy | 1.17.1 | direct |
| PyPI | scipy | 1.18.0 | direct |
| PyPI | tqdm | — | direct |
| PyPI | tqdm | 4.68.3 | direct |
| PyPI | absl-py | 2.4.0 | indirect |
| PyPI | annotated-doc | 0.0.4 | indirect |
| PyPI | annotated-types | 0.7.0 | indirect |
| PyPI | anyio | 4.14.1 | indirect |
| PyPI | appnope | 0.1.4 | indirect |
| PyPI | argon2-cffi | 25.1.0 | indirect |
| PyPI | argon2-cffi-bindings | 25.1.0 | indirect |
| PyPI | arrow | 1.4.0 | indirect |
| PyPI | asttokens | 3.0.1 | indirect |
| PyPI | astunparse | 1.6.3 | indirect |
| PyPI | async-lru | 2.3.0 | indirect |
| PyPI | attrs | 26.1.0 | indirect |
| PyPI | babel | 2.18.0 | indirect |
| PyPI | backoff | 2.2.1 | indirect |
| PyPI | backrefs | 7.0 | indirect |
| PyPI | beautifulsoup4 | 4.15.0 | indirect |
| PyPI | black | — | indirect |
| PyPI | bleach | 6.4.0 | indirect |
| PyPI | build | — | indirect |
| PyPI | certifi | 2026.6.17 | indirect |
| PyPI | cffi | 2.0.0 | indirect |
| PyPI | charset-normalizer | 3.4.7 | indirect |
| PyPI | click | 8.4.2 | indirect |
| PyPI | cloudpickle | 3.1.2 | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | colour | 0.1.5 | indirect |
| PyPI | comm | 0.2.3 | indirect |
| PyPI | contourpy | 1.3.2 | indirect |
| PyPI | contourpy | 1.3.3 | indirect |
| PyPI | coverage | — | indirect |
| PyPI | coverage | 7.14.3 | indirect |
| PyPI | cuda-bindings | 13.3.1 | indirect |
| PyPI | cuda-pathfinder | 1.5.6 | indirect |
| PyPI | cuda-toolkit | 13.0.2 | indirect |
| PyPI | cycler | 0.12.1 | indirect |
| PyPI | debugpy | 1.8.21 | indirect |
| PyPI | decorator | 5.3.1 | indirect |
| PyPI | defusedxml | 0.7.1 | indirect |
| PyPI | distro | 1.9.0 | indirect |
| PyPI | effector | 0.5.0 | indirect |
| PyPI | einops | 0.8.2 | indirect |
| PyPI | exceptiongroup | 1.3.1 | indirect |
| PyPI | executing | 2.2.1 | indirect |
| PyPI | fastjsonschema | 2.21.2 | indirect |
| PyPI | filelock | 3.29.4 | indirect |
| PyPI | flake8 | — | indirect |
| PyPI | flatbuffers | 25.12.19 | indirect |
| PyPI | flit-core | — | indirect |
| PyPI | fonttools | 4.63.0 | indirect |
| PyPI | fqdn | 1.5.1 | indirect |
| PyPI | fsspec | 2026.6.0 | indirect |
| PyPI | gast | 0.7.0 | indirect |
| PyPI | ghp-import | 2.1.0 | indirect |
| PyPI | google-pasta | 0.2.0 | indirect |
| PyPI | griffelib | 2.1.0 | indirect |
| PyPI | grpcio | 1.81.1 | indirect |
| PyPI | h11 | 0.16.0 | indirect |
| PyPI | h5py | 3.14.0 | indirect |
| PyPI | hf-xet | 1.5.1 | indirect |
| PyPI | httpcore | 1.0.9 | indirect |
| PyPI | httpx | 0.28.1 | indirect |
| PyPI | huggingface-hub | 1.21.0 | indirect |
| PyPI | idna | 3.18 | indirect |
| PyPI | iniconfig | 2.3.0 | indirect |
| PyPI | ipykernel | 7.3.0 | indirect |
| PyPI | ipython | 8.39.0 | indirect |
| PyPI | ipython | 9.15.0 | indirect |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirect |
| PyPI | ipywidgets | 8.1.8 | indirect |
| PyPI | isoduration | 20.11.0 | indirect |
| PyPI | isort | — | indirect |
| PyPI | jedi | 0.20.0 | indirect |
| PyPI | jinja2 | 3.1.6 | indirect |
| PyPI | joblib | 1.5.3 | indirect |
| PyPI | json5 | 0.15.0 | indirect |
| PyPI | jsonpointer | 3.1.1 | indirect |
| PyPI | jsonschema | 4.26.0 | indirect |
| PyPI | jsonschema-specifications | 2025.9.1 | indirect |
| PyPI | jupyter | — | indirect |
| PyPI | jupyter | 1.1.1 | indirect |
| PyPI | jupyter-builder | 1.0.2 | indirect |
| PyPI | jupyter-client | 8.9.1 | indirect |
| PyPI | jupyter-console | 6.6.3 | indirect |
| PyPI | jupyter-core | 5.9.1 | indirect |
| PyPI | jupyter-events | 0.12.1 | indirect |
| PyPI | jupyter-lsp | 2.3.1 | indirect |
| PyPI | jupyter-server | 2.20.0 | indirect |
| PyPI | jupyter-server-terminals | 0.5.4 | indirect |
| PyPI | jupyterlab | 4.6.1 | indirect |
| PyPI | jupyterlab-pygments | 0.3.0 | indirect |
| PyPI | jupyterlab-server | 2.28.0 | indirect |
| PyPI | jupyterlab-widgets | 3.0.16 | indirect |
| PyPI | keras | — | indirect |
| PyPI | keras | 3.12.3 | indirect |
| PyPI | keras | 3.15.0 | indirect |
| PyPI | kiwisolver | 1.5.0 | indirect |
| PyPI | lark | 1.3.1 | indirect |
| PyPI | liac-arff | 2.5.0 | indirect |
| PyPI | libclang | 18.1.1 | indirect |
| PyPI | lightgbm | 4.6.0 | indirect |
| PyPI | llvmlite | 0.36.0 | indirect |
| PyPI | llvmlite | 0.47.0 | indirect |
| PyPI | markdown | 3.10.2 | indirect |
| PyPI | markdown-it-py | 4.2.0 | indirect |
| PyPI | markupsafe | 3.0.3 | indirect |
| PyPI | matplotlib-inline | 0.2.2 | indirect |
| PyPI | mdurl | 0.1.2 | indirect |
| PyPI | mergedeep | 1.3.4 | indirect |
| PyPI | minio | 7.2.20 | indirect |
| PyPI | mistune | 3.3.2 | 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 | — | indirect |
| PyPI | mkdocs-glightbox | 0.5.2 | indirect |
| PyPI | mkdocs-material | — | indirect |
| PyPI | mkdocs-material | 9.7.6 | indirect |
| PyPI | mkdocs-material-extensions | 1.3.1 | indirect |
| PyPI | mkdocstrings | — | indirect |
| PyPI | mkdocstrings | 1.0.4 | indirect |
| PyPI | mkdocstrings-python | — | indirect |
| PyPI | mkdocstrings-python | 2.0.5 | indirect |
| PyPI | ml-dtypes | 0.5.4 | indirect |
| PyPI | mlx | 0.31.2 | indirect |
| PyPI | mlx-metal | 0.31.2 | indirect |
| PyPI | mpmath | 1.3.0 | indirect |
| PyPI | namex | 0.1.0 | indirect |
| PyPI | narwhals | 2.23.0 | indirect |
| PyPI | nbclient | 0.11.0 | indirect |
| PyPI | nbconvert | 7.17.1 | indirect |
| PyPI | nbformat | 5.10.4 | indirect |
| PyPI | nest-asyncio2 | 1.7.2 | indirect |
| PyPI | networkx | 3.4.2 | indirect |
| PyPI | networkx | 3.6.1 | indirect |
| PyPI | notebook | 7.6.0 | indirect |
| PyPI | notebook-shim | 0.2.4 | indirect |
| PyPI | numba | 0.53.1 | indirect |
| PyPI | numba | 0.65.1 | 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-ml-py | 13.610.43 | indirect |
| PyPI | nvidia-nccl-cu13 | 2.29.7 | indirect |
| PyPI | nvidia-nvjitlink | 13.0.88 | indirect |
| PyPI | nvidia-nvshmem-cu13 | 3.4.5 | indirect |
| PyPI | nvidia-nvtx | 13.0.85 | indirect |
| PyPI | openml | — | indirect |
| PyPI | openml | 0.15.1 | indirect |
| PyPI | opt-einsum | 3.4.0 | indirect |
| PyPI | optree | 0.19.1 | indirect |
| PyPI | overrides | — | indirect |
| PyPI | overrides | 7.7.0 | indirect |
| PyPI | packaging | 26.2 | indirect |
| PyPI | paginate | 0.5.7 | indirect |
| PyPI | pandas | 2.3.3 | indirect |
| PyPI | pandas | 3.0.3 | indirect |
| PyPI | pandocfilters | 1.5.1 | indirect |
| PyPI | parso | 0.8.7 | 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 | posthog | 7.21.2 | indirect |
| PyPI | prometheus-client | 0.25.0 | indirect |
| PyPI | prompt-toolkit | 3.0.52 | indirect |
| PyPI | protobuf | 7.35.1 | indirect |
| PyPI | psutil | 7.2.2 | indirect |
| PyPI | ptyprocess | 0.7.0 | indirect |
| PyPI | pure-eval | 0.2.3 | indirect |
| PyPI | pyarrow | 24.0.0 | indirect |
| PyPI | pycparser | 3.0 | indirect |
| PyPI | pycryptodome | 3.23.0 | indirect |
| PyPI | pydantic | 2.13.4 | indirect |
| PyPI | pydantic-core | 2.46.4 | indirect |
| PyPI | pydantic-settings | 2.14.2 | indirect |
| PyPI | pygments | 2.20.0 | indirect |
| PyPI | pymdown-extensions | 11.0 | indirect |
| PyPI | pyparsing | 3.3.2 | indirect |
| PyPI | pyqt5 | 5.15.11 | indirect |
| PyPI | pyqt5-qt5 | 5.15.19 | indirect |
| PyPI | pyqt5-sip | 12.18.0 | indirect |
| PyPI | pytest | — | indirect |
| PyPI | pytest | 9.1.1 | indirect |
| PyPI | pytest-cov | — | indirect |
| PyPI | pytest-cov | 7.1.0 | indirect |
| PyPI | python-dateutil | 2.9.0.post0 | indirect |
| PyPI | python-dotenv | 1.2.2 | indirect |
| PyPI | python-json-logger | 4.1.0 | indirect |
| PyPI | pytz | 2026.2 | indirect |
| PyPI | pywinpty | 3.0.5 | indirect |
| PyPI | pyyaml | 6.0.3 | indirect |
| PyPI | pyyaml-env-tag | 1.1 | indirect |
| PyPI | pyzmq | 27.1.0 | indirect |
| PyPI | referencing | 0.37.0 | indirect |
| PyPI | requests | 2.34.2 | indirect |
| PyPI | rfc3339-validator | 0.1.4 | indirect |
| PyPI | rfc3986-validator | 0.1.1 | indirect |
| PyPI | rfc3987-syntax | 1.1.0 | indirect |
| PyPI | rich | 15.0.0 | indirect |
| PyPI | rpds-py | 0.30.0 | indirect |
| PyPI | rpds-py | 2026.6.3 | indirect |
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{
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{
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{
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{
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{
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"scorecard_aggregate": 6.1
},
"components": [
{
"key": "binary_artifacts",
"name": "Binary-Artifacts",
"detail": "no binaries found in the repo",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "branch_protection",
"name": "Branch-Protection",
"detail": "internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "29 out of 29 merged PRs checked by a CI test -- score normalized to 10",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "code_review",
"name": "Code-Review",
"detail": "Found 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": "update tool detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"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": "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
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "GitHub workflow tokens follow principle of least privilege",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "4 existing vulnerabilities detected",
"points": 4.5,
"status": "partial",
"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": 5
},
"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": 39,
"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. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 61,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"Makefile"
],
"has_devcontainer": false,
"has_linter_config": false,
"typecheck_configs": [],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Makefile"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 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": "dependency automation configured, none observed in the sampled commits",
"points": 5,
"status": "partial",
"details": [
{
"code": "dependency_bot_config_only",
"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": 54,
"inputs": {
"primary_language": "Jupyter Notebook",
"largest_source_bytes": 76354,
"source_files_sampled": 74,
"oversized_source_files": 1
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Jupyter Notebook without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Jupyter Notebook"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "1/74 source files over 60KB",
"points": 54.3,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 74,
"oversized": 1
}
}
],
"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": "2026-07-17T15:48:41.194122Z",
"schema_version": "0.12.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/g/givasile/effector.svg",
"full_name": "givasile/effector",
"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.