vhdl / pyVHDLModel
An abstract language model of VHDL written in Python.
vhdl/pyVHDLModel holds a health index of 73 out of 100, placing it in the Good band. It scores highest on Engineering Quality (80/100) and lowest on AI Readiness (44/100). It was last updated today. A single contributor accounts for most of its recent work.
Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.
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.
The weighted overall 64 is calibrated to 73 on the published index scale (record calibration 2026-08-02).
Ownership
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
Development activity
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 6.9/36 | Commit cadence — 10/52 weeks with commits |
| 16.4/18 | Commit volume — 66 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 66 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 10 |
Release discipline
How it's scored
| 27/27 | Ships releases — 63 releases published |
| 36/36 | Release recency — latest release 12 days ago |
| 19.8/27 | Release cadence — a release every ~48.8 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 63 |
| latest_release_tag | v0.37.0 |
| releases_from_tags | no |
| days_since_latest_release | 12 |
| mean_days_between_releases | 48.8 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
Popularity & adoption
How it's scored
| 29.3/60 | Stars — 65 stars |
| 10/25 | Forks — 17 forks |
| 3.3/15 | Watchers — 5 watchers |
Inputs used
| forks | 17 |
| stars | 65 |
| watchers | 5 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
How it's scored
| 22.5/22.5 | README |
| 16.9/22.5 | License — license file present, not a recognized license |
| 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 |
| readme_badges | — |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| readme_badge_services | — |
| has_pull_request_template | yes |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
Maintainer resilience (bus factor)
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 2.4/22.5 | Commit distribution — top contributor authored 89% of commits |
| 10.8/13.5 | Contributor breadth — 8 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 17 contributing companies or organizations |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 8 |
| top_contributor_share | 0.894 |
Issue & PR responsiveness
How it's scored
| 29.7/42 | Issue resolution — 71% of issues closed |
| 25.2/30 | PR acceptance — 90/107 decided PRs merged |
| 0/13 | Newcomer PR acceptance — no first-time contributor's PR decided in 30d |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/3 approved changesets -- score normalized to 0 |
Inputs used
| merged_prs | 90 |
| open_issues | 5 |
| closed_issues | 12 |
| prs_merged_7d | — |
| prs_decided_7d | — |
| prs_merged_30d | — |
| prs_decided_30d | — |
| issue_closed_ratio | 0.706 |
| closed_unmerged_prs | 17 |
| first_time_authors_30d | — |
| first_time_prs_merged_30d | — |
| first_time_prs_decided_30d | — |
Ownership & stewardship
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain — verified-domain status not read for this organization |
| 15.2/25 | Owner reach — 129 followers of VHDL |
| 21.8/25 | Track record — 21 public repos, account ~9 yr old |
Inputs used
| followers | 129 |
| owner_type | Organization |
| is_verified | — |
| owner_login | VHDL |
| public_repos | 21 |
| account_age_days | 3,616 |
Engineering Quality
Are baseline engineering and documentation practices in place?
Engineering practices
How it's scored
| 24/24 | CI workflows — 1 workflow(s) |
| 24/24 | Tests present |
| 0/16 | Linter config |
| 0/9.6 | Pre-commit hooks |
| 6.4/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 3 out of 3 merged PRs checked by a CI test -- score normalized to 10 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | yes |
| has_linter_config | no |
| has_precommit_config | no |
Documentation
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://vhdl.github.io/pyVHDLModel/ |
| 10/10 | Repository description |
| 10/10 | Topics — 5 topics |
| 0/10 | Wiki |
Inputs used
| topics | python, vhdl, language-model, dom, abstract |
| has_wiki | no |
| homepage | https://vhdl.github.io/pyVHDLModel/ |
| docs_site | https://vhdl.github.io/pyVHDLModel/ |
| 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?
Security posture
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 — 3 out of 3 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 0/3 approved changesets -- score normalized to 0 |
| 2.5/2.5 | Contributors — project has 17 contributing companies or organizations |
| 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 |
| 2.2/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — no data |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 5.6 |
AI Readiness
How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.
Agent context & guidance
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 |
| llms_txt_url | — |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Verify loop (build / test / typecheck)
How it's scored
| 18/18 | One-command bootstrap — doc/Makefile |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 11/11 | Static type checking — pyVHDLModel/py.typed |
| 0/10 | Reproducible environment |
| 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 | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | doc/Makefile |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | pyVHDLModel/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Code legibility for models
How it's scored
| 27/45 | Type-checkable code — Python with type-check config (pyVHDLModel/py.typed) |
| 53.1/55 | Manageable file sizes — 1/29 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 126,979 |
| source_files_sampled | 29 |
| oversized_source_files | 1 |
Key facts
More detail
OpenSSF Scorecard 5.6 / 10
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 | 3 out of 3 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 0/3 approved changesets -- score normalized to 0 |
| 10 | Contributors | project has 17 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 9 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
| n/a | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| n/a | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
All dependencies 19
Full resolved dependency set from the GitHub dependency graph: 0 direct and 19 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | autoapi | — | indirect |
| PyPI | coverage | — | indirect |
| PyPI | docutils-stubs | — | indirect |
| PyPI | lxml | — | indirect |
| PyPI | mypy | — | indirect |
| PyPI | pytest | — | indirect |
| PyPI | pytest-cov | — | indirect |
| PyPI | pytooling | — | indirect |
| PyPI | setuptools | — | indirect |
| PyPI | sphinx | — | indirect |
| PyPI | sphinx-autodoc-typehints | — | indirect |
| PyPI | sphinx-copybutton | — | indirect |
| PyPI | sphinx-design | — | indirect |
| PyPI | sphinx-reports | — | indirect |
| PyPI | sphinx-rtd-theme | — | indirect |
| PyPI | sphinxcontrib-mermaid | — | indirect |
| PyPI | twine | — | indirect |
| PyPI | typing-extensions | — | indirect |
| PyPI | wheel | — | indirect |
Raw JSON report machine-readable
Feedback
Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.
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 v2.10.0, schema v0.12.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics.