Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-24 23:38 UTC

proximafusion / vmecpp

From-scratch C++ and Python reimplementation of the Variational Moments Equilibrium Code (VMEC).

C++ · PythonMIT★ 252 stars⑂ 46 forkssince Nov 2024View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

proximafusion/vmecpp holds a health index of 90 out of 100, placing it in the Excellent band. It scores highest on Vitality (92/100) and lowest on Security (56/100). It was last updated today. 2 contributors account for most of its recent work.

90
overall / 100
Excellent

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.

90
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

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 76 is calibrated to 90 on the published index scale (record calibration 2026-08-02).

Ownership

proximafusionOrganization
80 followers9 public repossince Apr 2023

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIvmecpp0.7.540,012330 days ago

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

92Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
22.2/36Commit cadence — 32/52 weeks with commits
18/18Commit volume — 304 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year304
human_commit_share1
days_since_last_push0
active_weeks_last_year32

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 38 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~8.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count38
latest_release_tagv0.7.5
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases8.6
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?

59Moderate · 17% of overall
How it's scored
38.9/60Stars — 252 stars
13.8/25Forks — 46 forks
2.7/15Watchers — 4 watchers
Inputs used
forks46
stars252
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges10
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno
How it's scored
61.4/80Monthly downloads — 40,012 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesvmecpp
dependents—
ecosystemspypi
total_downloads—
monthly_downloads40,012
unverified_packages_excluded—
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?

74Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
13.8/22.5Commit distribution — top contributor authored 39% of commits
13.5/13.5Contributor breadth — 17 contributors
10/10OpenSSF Scorecard: Contributors — project has 7 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled17
top_contributor_share0.387
How it's scored
38/42Issue resolution — 90% of issues closed
24.1/30PR acceptance — 565/704 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
12/15OpenSSF Scorecard: Code-Review — Found 24/30 approved changesets -- score normalized to 8
Inputs used
merged_prs565
open_issues8
closed_issues76
prs_merged_7d3
prs_decided_7d4
prs_merged_30d50
prs_decided_30d58
issue_closed_ratio0.905
closed_unmerged_prs139
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
13.7/25Owner reach — 80 followers of proximafusion
14.1/25Track record — 9 public repos, account ~3 yr old
Inputs used
followers80
owner_typeOrganization
is_verifiedno
owner_loginproximafusion
public_repos9
account_age_days1,245

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 33 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesvmecpp
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows — 14 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://proximafusion.github.io/vmecpp/
10/10Repository description
10/10Topics — 5 topics
0/10Wiki
Inputs used
topicsfusion, mhd-simulation, plasma, stellarator, stellarators
has_wikino
homepagehttps://proximafusion.github.io/vmecpp/
docs_sitehttps://proximafusion.github.io/vmecpp/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

56Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6/7.5Code-Review — Found 24/30 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 7 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.6
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

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.

81Excellent · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md, src/vmecpp/cpp/vmecpp/vmec/ideal_mhd_model/AGENTS.md, src/vmecpp/cpp/vmecpp/vmec/ideal_mhd_model/CLAUDE.md, src/vmecpp/cpp/vmecpp/vmec/vmec/AGENTS.md, src/vmecpp/cpp/vmecpp/vmec/vmec/CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 77 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.77
agent_instruction_filesAGENTS.md, CLAUDE.md, src/vmecpp/cpp/vmecpp/vmec/ideal_mhd_model/AGENTS.md, src/vmecpp/cpp/vmecpp/vmec/ideal_mhd_model/CLAUDE.md, src/vmecpp/cpp/vmecpp/vmec/vmec/AGENTS.md, src/vmecpp/cpp/vmecpp/vmec/vmec/CLAUDE.md
agent_instruction_max_bytes10,884
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — C++ (statically typed)
10/10Reproducible environment — Dockerfile, Nix
10/10Demonstrated agent practice — 7 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixyes
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageyes
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.07
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
45/45Type-checkable code — C++ (statically typed)
52.9/55Manageable file sizes — 9/238 source files over 60KB
Inputs used
primary_languageC++
largest_source_bytes210,201
source_files_sampled238
oversized_source_files9
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

252GitHub stars
17contributors
304commits, last 12 months
0days since last push
38releases
2bus factor
8open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:vmecpp@0.7.5; advisories assessed against the repository dependency graph instead
  • No resolved dependencies carried a version and a supported ecosystem

More detail

Star and fork history 0 ★ / 46 ⇿
0Stars
46Forks
37Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

010203040504652025-022025-112026-09
Major 0Minor 6Patch 28

Each point covers 2 days.

OpenSSF Scorecard 5.6 / 10
5.6aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-09-24 23:38 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 24/30 approved changesets -- score normalized to 8
10Contributorsproject has 7 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 8
RegistryPackageVersion constraintManifest
PyPInetCDF4—pyproject.toml
PyPInumpy—pyproject.toml
PyPIscipy—pyproject.toml
PyPIpydantic>=2.11pyproject.toml
PyPIjaxtyping>=0.2.6pyproject.toml
PyPIjax!=0.5.2pyproject.toml
PyPIjax!=0.5.1pyproject.toml
PyPIsimsopt>=1.8.1pyproject.toml
All dependencies 7

Full resolved dependency set from the GitHub dependency graph: 4 direct and 3 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIjax—direct
PyPIjaxtyping—direct
PyPIpydantic—direct
PyPIsimsopt—direct
PyPImyst-parser—indirect
PyPIscikit-build-core—indirect
PyPIsphinx—indirect
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies carried a version and a supported ecosystem

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.

The message is kept through sign-in.

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 v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.