Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-16 10:35 UTC

ansys / pyconceptev

A Python wrapper for Ansys conceptev core

PythonMIT★ 2 stars⑂ 1 forksince Dec 2023View on GitHub ↗
KindLibraryhow this is determined

ansys/pyconceptev holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on Community & Adoption (47/100). It was last updated today. 2 contributors account for most of its recent work.

87
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.

87
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 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).

Ownership

AnsysOrganization
1,710 followers214 public repossince May 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIansys-conceptev-core0.10.310,683190 days agoansysconcept-evelectric-powertrain

Metrics by category

Vitality

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

73Good · 21% of overall

Development activity

67Good
How it's scored
36/36Push recency — last push 0 days ago
6.9/36Commit cadence — 10/52 weeks with commits
14.3/18Commit volume — 38 commits in the last year
10/10OpenSSF Scorecard: Maintained — 15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year38
human_commit_share—
days_since_last_push0
active_weeks_last_year10

Release discipline

83Excellent
How it's scored
27/27Ships releases — 20 releases published
36/36Release recency — latest release 0 days ago
19.8/27Release cadence — a release every ~67.8 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count20
latest_release_tagv0.10.3
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases67.8

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

47Weak · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 2 stars
0/25Forks — 1 forks
0/15Watchers — 0 watchers
Inputs used
forks1
stars2
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

67Good
How it's scored
53.7/80Monthly downloads — 10,683 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesansys-conceptev-core
dependents—
ecosystemspypi
total_downloads—
monthly_downloads10,683
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?

80Excellent · 23% of overall

Maintainer resilience (bus factor)

57Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.5/22.5Commit distribution — top contributor authored 44% of commits
13.5/13.5Contributor breadth — 11 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor2
contributors_sampled11
top_contributor_share0.444

Issue & PR responsiveness

72Good
How it's scored
28.6/42Issue resolution — 68% of issues closed
19/30PR acceptance — 215/340 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs215
open_issues8
closed_issues17
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.68
closed_unmerged_prs125
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

98Exceptional
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
23.2/25Owner reach — 1,710 followers of ansys
25/25Track record — 214 public repos, account ~6 yr old
Inputs used
followers1,710
owner_typeOrganization
is_verified—
owner_loginansys
public_repos214
account_age_days2,240
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

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 — 19 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesansys-conceptev-core
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — .flake8, tox.ini
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://conceptev.docs.pyansys.com/
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepagehttps://conceptev.docs.pyansys.com/
docs_sitehttps://conceptev.docs.pyansys.com/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

71Good · 16% of overall

Security posture

71Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-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
7.5/7.5Code-Review — all changesets reviewed
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 27 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate7.1

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.

57Moderate · 4% of overall

Agent context & guidance

1Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
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)

84Excellent
How it's scored
18/18One-command bootstrap — doc/Makefile
22/22Automated tests
11/11Lint / format config — .flake8, tox.ini
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_filesdoc/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/22 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes23,054
source_files_sampled22
oversized_source_files0

Machine-readable interfaces

100Exceptional
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

2GitHub stars
11contributors
38commits, last 12 months
0days since last push
20releases
2bus factor
8open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 7.1 / 10
7.1aggregate

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).Scorecard v5.5.0 · 2026-07-16 10:35 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-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
10Code-Reviewall changesets reviewed
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities27 existing vulnerabilities detected
Direct dependencies 12
RegistryPackageVersion constraintManifest
PyPIpython-dotenv>=1.2.0pyproject.toml
PyPIhttpx>=0.26.0pyproject.toml
PyPImsal>=1.29.0pyproject.toml
PyPImsal-extensions>=1.2.0pyproject.toml
PyPItomli>=2.0.1pyproject.toml
PyPIwebsockets>=13.0.1pyproject.toml
PyPIasync-timeout>=4pyproject.toml
PyPIpydantic-settings>=2.8.0pyproject.toml
PyPIemail-validator^2.2.0pyproject.toml
PyPItenacity>=8.2.3,<10.0.0pyproject.toml
PyPItruststore^0.10.4pyproject.toml
PyPIpydantic>=2.11pyproject.toml
All dependencies 235

Full resolved dependency set from the GitHub dependency graph: 12 direct and 223 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIasync-timeout5.0.1direct
PyPIemail-validator2.3.0direct
PyPIhttpx0.28.1direct
PyPImsal1.37.0direct
PyPImsal-extensions1.3.1direct
PyPIpydantic2.13.4direct
PyPIpydantic-settings2.14.2direct
PyPIpython-dotenv1.2.2direct
PyPItenacity9.1.4direct
PyPItomli2.4.1direct
PyPItruststore0.10.4direct
PyPIwebsockets16.0direct
PyPIaccessible-pygments0.0.5indirect
PyPIalabaster0.7.16indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIansys-optislang-core1.5.0indirect
PyPIansys-sphinx-theme1.9.0indirect
PyPIanyio4.8.0indirect
PyPIappnope0.1.4indirect
PyPIargon2-cffi23.1.0indirect
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PyPIbackports-asyncio-runner1.2.0indirect
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PyPIbackports-tarfile1.2.0indirect
PyPIbandit1.9.4indirect
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PyPIbleach6.2.0indirect
PyPIbuild1.5.0indirect
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PyPIcfgv3.4.0indirect
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PyPIcomm0.2.2indirect
PyPIcommonmark0.9.1indirect
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PyPIsphinxcontrib-applehelp2.0.0indirect
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PyPIurllib32.7.0indirect
PyPIuvicorn0.34.0indirect
PyPIvirtualenv21.5.1indirect
PyPIwatchfiles1.2.0indirect
PyPIwcwidth0.2.13indirect
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PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.8.0indirect
PyPIwidgetsnbextension4.0.14indirect
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Raw JSON report machine-readable

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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 v2.10.0, schema v0.11.0 — full methodology · metrics wiki.

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