Public recordModerate
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-16 17:21 UTC
GiacomoSaccaggi / scomp_link
End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.
GiacomoSaccaggi/scomp_link holds a health index of 68 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (95/100) and lowest on Sustainability & Governance (46/100). It was last updated today.
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
Giacomo SaccaggiPersonal account
7 followers18 public repossince Oct 2018
This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.
Package ecosystems
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
79
Development activity
65Moderate
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 4.8/36 | Commit cadence — 7/52 weeks with commits |
| 17.9/18 | Commit volume — 98 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — no data |
Inputs used
| commits_last_year | 98 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 7 |
Release discipline
100Excellent
How it's scored
| 27/27 | Ships releases — 13 releases published |
| 36/36 | Release recency — latest release 6 days ago |
| 27/27 | Release cadence — a release every ~0.8 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 13 |
| latest_release_tag | v1.2.15 |
| releases_from_tags | no |
| days_since_latest_release | 6 |
| mean_days_between_releases | 0.8 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
47
Popularity & adoption
1Critical
How it's scored
| 0/60 | Stars — 2 stars |
| 0/25 | Forks — 0 forks |
| 0/15 | Watchers — 0 watchers |
Inputs used
| forks | 0 |
| stars | 2 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
92Excellent
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 18/18 | CONTRIBUTING guide |
| 13.5/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 6.3/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | yes |
| has_pull_request_template | yes |
Ecosystem adoption (downloads)
56Moderate
How it's scored
| 44.9/80 | Monthly downloads — 2,313 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | scomp-link |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 2,313 |
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?
46
Issue & PR responsiveness
1Critical
How it's scored
| 0/46.8 | Issue resolution — no issues or no data |
| 0/38.3 | PR acceptance — 0/25 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — no data |
Inputs used
| merged_prs | 0 |
| open_issues | 0 |
| closed_issues | 0 |
| issue_closed_ratio | — |
| closed_unmerged_prs | 25 |
Excluded from scoring (no data or not applicable): Issue resolution. Remaining weights renormalized.
Ownership & stewardship
47At risk
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 6.5/25 | Owner reach — 7 followers of GiacomoSaccaggi |
| 21.3/25 | Track record — 18 public repos, account ~7 yr old |
Inputs used
| followers | 7 |
| owner_type | User |
| is_verified | — |
| owner_login | GiacomoSaccaggi |
| public_repos | 18 |
| account_age_days | 2,833 |
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 0 days ago |
| 20/20 | Version history — 21 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | scomp-link |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Engineering Quality
Are baseline engineering and documentation practices in place?
95
Engineering practices
92Excellent
How it's scored
| 24/24 | CI workflows — 1 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config — tox.ini |
| 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 |
Documentation
100Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://giacomosaccaggi.github.io/scomp_link/ |
| 10/10 | Repository description |
| 10/10 | Topics — 20 topics |
| 10/10 | Wiki |
Inputs used
| topics | anomaly-detection, automl, cli, data-science, explainability, machine-learning, nlp, python, scikit-learn, time-series, agent-skills, agentic-workflow, mcp, mcp-server, ai-agent-tool, ai-tools, cli-app, cli-tool, claude-tool, kiro-tool |
| has_wiki | yes |
| homepage | https://giacomosaccaggi.github.io/scomp_link/ |
| 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?
73
Security posture
73Good
How it's scored
| 30/30 | Security policy (SECURITY.md) |
| 25/25 | Dependabot config |
| 0/25 | Dependency lockfiles — published library — lockfiles are an application concern, not expected |
| 0/20 | CodeQL workflow |
Inputs used
| source | file_signals |
| lockfiles | uv.lock |
| manifests | mcpb/pyproject.toml, pyproject.toml, requirements.txt, requirements/requirements-dev.txt, requirements/requirements-img-py310.txt, requirements/requirements-img-py311.txt, requirements/requirements-img-py312.txt, requirements/requirements-img-py313.txt, requirements/requirements-nlp-py310.txt, requirements/requirements-nlp-py311.txt, requirements/requirements-nlp-py312.txt, requirements/requirements-nlp-py313.txt, requirements/requirements-py310.txt, requirements/requirements-py311.txt, requirements/requirements-py312.txt, requirements/requirements-py313.txt, requirements/requirements-utils.txt, setup.py |
| has_codeql_workflow | no |
| has_security_policy | yes |
| has_dependabot_config | yes |
Excluded from scoring (no data or not applicable): Dependency lockfiles. 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.
81
Agent context & guidance
100Excellent
How it's scored
| 45/45 | Agent instructions — AGENTS.md |
| 15/15 | Machine-readable docs (llms.txt) — llms.txt present |
| 0/40 | Legible commit history — no data |
Inputs used
| has_llms_txt | yes |
| legible_history_share | — |
| agent_instruction_files | AGENTS.md |
| agent_instruction_max_bytes | 4,895 |
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 |
| 11/11 | Lint / format config — tox.ini |
| 11/11 | Static type checking — pyrightconfig.json, scomp_link/py.typed |
| 10/10 | Reproducible environment — Dockerfile, 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 — no data |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | uv.lock |
| has_dockerfile | yes |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | pyrightconfig.json, scomp_link/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
| 27/45 | Type-checkable code — Python with type-check config (pyrightconfig.json, scomp_link/py.typed) |
| 54.5/55 | Manageable file sizes — 1/105 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 81,108 |
| source_files_sampled | 105 |
| oversized_source_files | 1 |
Machine-readable interfaces
60Moderate
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 20/20 | MCP server |
| 40/40 | Runnable examples — examples |
Inputs used
| example_dirs | examples |
| has_mcp_signal | yes |
| api_schema_files | — |
Key facts
2GitHub stars
-contributors
98commits, last 12 months
0days since last push
13releases
-bus factor
0open issues
PyPIpackage ecosystems
Data collection warnings
- Contributor list unavailable
- Could not fetch pypi package 'scomp-link-mcpb' from its registry
- GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
- OpenSSF Scorecard timed out after 240s; skipping Scorecard checks
More detail
Direct dependencies 56
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | scomp-link | >=1.3.0 | mcpb/pyproject.toml |
| PyPI | numpy | >=1.22.0,<2.3.0 | pyproject.toml |
| PyPI | numpy | >=1.24.0,<1.27.0 | pyproject.toml |
| PyPI | numpy | >=1.26.0,<2.0.0 | pyproject.toml |
| PyPI | numpy | >=1.26.0,<3.0.0 | pyproject.toml |
| PyPI | numpy | >=2.0.0,<3.0.0 | pyproject.toml |
| PyPI | pandas | >=1.4.0,<2.4.0 | pyproject.toml |
| PyPI | pandas | >=2.0.0,<2.2.0 | pyproject.toml |
| PyPI | pandas | >=2.1.0,<2.3.0 | pyproject.toml |
| PyPI | pandas | >=2.1.0,<3.0.0 | pyproject.toml |
| PyPI | pandas | >=2.2.0,<3.0.0 | pyproject.toml |
| PyPI | scipy | >=1.8.0,<1.12.0 | pyproject.toml |
| PyPI | scipy | >=1.10.0,<1.12.0 | pyproject.toml |
| PyPI | scipy | >=1.11.0,<1.14.0 | pyproject.toml |
| PyPI | scipy | >=1.11.0,<2.0.0 | pyproject.toml |
| PyPI | scipy | >=1.14.0,<2.0.0 | pyproject.toml |
| PyPI | scikit-learn | >=1.2.0,<1.8.0 | pyproject.toml |
| PyPI | scikit-learn | >=1.3.0,<1.5.0 | pyproject.toml |
| PyPI | scikit-learn | >=1.3.0,<1.6.0 | pyproject.toml |
| PyPI | scikit-learn | >=1.3.0,<2.0.0 | pyproject.toml |
| PyPI | scikit-learn | >=1.5.0,<2.0.0 | pyproject.toml |
| PyPI | matplotlib | >=3.6.0,<3.9.0 | pyproject.toml |
| PyPI | matplotlib | >=3.7.0,<3.9.0 | pyproject.toml |
| PyPI | matplotlib | >=3.8.0,<3.11.0 | pyproject.toml |
| PyPI | matplotlib | >=3.8.0,<4.0.0 | pyproject.toml |
| PyPI | matplotlib | >=3.9.0,<4.0.0 | pyproject.toml |
| PyPI | plotly | >=5.0.0,<6.0.0 | pyproject.toml |
| PyPI | seaborn | >=0.11.0,<0.14.0 | pyproject.toml |
| PyPI | torch | >=1.13.0,<2.13.0 | pyproject.toml |
| PyPI | torch | >=2.0.0,<2.13.0 | pyproject.toml |
| PyPI | torch | >=2.0.0,<2.13.0 | pyproject.toml |
| PyPI | torch | >=2.0.0,<3.0.0 | pyproject.toml |
| PyPI | torch | >=2.4.0,<3.0.0 | pyproject.toml |
| PyPI | transformers | >=4.30.0,<6.0.0 | pyproject.toml |
| PyPI | spacy | >=3.5.0,<4.0.0 | pyproject.toml |
| PyPI | faiss-cpu | >=1.7.0,<2.0.0 | pyproject.toml |
| PyPI | sentence-transformers | >=2.2.0,<6.0.0 | pyproject.toml |
| PyPI | tensorflow | >=2.10.0,<2.16.0 | pyproject.toml |
| PyPI | tensorflow | >=2.12.0,<2.16.0 | pyproject.toml |
| PyPI | tensorflow | >=2.13.0,<2.18.0 | pyproject.toml |
| PyPI | tensorflow | >=2.13.0,<3.0.0 | pyproject.toml |
| PyPI | pillow | >=9.0.0,<13.0.0 | pyproject.toml |
| PyPI | pillow | >=10.0.0,<13.0.0 | pyproject.toml |
| PyPI | pytorch-tabnet2 | >=4.1.0,<5.0.0 | pyproject.toml |
| PyPI | statsmodels | >=0.13.0,<1.0.0 | pyproject.toml |
| PyPI | tf-keras | >=2.16.0 | pyproject.toml |
| PyPI | polars | >=0.20.0,<2.0.0 | pyproject.toml |
| PyPI | pyarrow | >=12.0.0 | pyproject.toml |
| PyPI | shap | >=0.42.0,<1.0.0 | pyproject.toml |
| PyPI | lime | >=0.2.0,<1.0.0 | pyproject.toml |
| PyPI | optuna | >=3.0.0,<5.0.0 | pyproject.toml |
| PyPI | tqdm | >=4.50.0,<5.0.0 | pyproject.toml |
| PyPI | PyJWT | >=2.0.0,<3.0.0 | pyproject.toml |
| PyPI | markdown | >=3.3.0,<4.0.0 | pyproject.toml |
| PyPI | weasyprint | >=57.0,<70.0 | pyproject.toml |
| PyPI | playwright | >=1.40.0,<2.0.0 | pyproject.toml |
All dependencies not collected
The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Raw JSON report machine-readable
{
"data": {
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"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Natural Language :: English",
"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 :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Image Recognition",
"Topic :: Scientific/Engineering :: Information Analysis",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Text Processing :: Linguistic",
"Typing :: Typed"
],
"ecosystem": "pypi",
"matches_repo": true,
"registry_url": "https://pypi.org/project/scomp-link/",
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"monthly_downloads": 2313,
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{
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{
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"version_constraint": ">=1.10.0,<1.12.0"
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{
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"version_constraint": ">=1.11.0,<1.14.0"
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{
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}Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.
Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.11.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.