Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 05:56 UTC

ansys / pyaedt

AEDT Python Client Package

Python · GLSL · TypeScriptMIT★ 391 stars⑂ 272 forkssince Mar 2021View on GitHub ↗
KindLibraryCommand-line toolhow this is determined
#ansys#electronics#pyaedt#python

ansys/pyaedt holds a health index of 98 out of 100, placing it in the Exceptional band. It scores highest on Vitality (96/100) and lowest on Security (75/100). It was last updated today. 4 contributors account for most of its recent work.

98
overall / 100
Exceptional

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.

98
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 86 is calibrated to 98 on the published index scale (record calibration 2026-08-02).

Ownership

AnsysOrganization
1,766 followers220 public repossince May 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIpyaedt1.5.042,6083127 days ago

Metrics by category

Vitality

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

96Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recency — last push 0 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 877 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year877
human_commit_share0.62
days_since_last_push0
active_weeks_last_year52

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 7 days ago
27/27Release cadence — a release every ~12.7 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv1.5.0
releases_from_tagsno
days_since_latest_release7
mean_days_between_releases12.7

Community & Adoption

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

79Good · 17% of overall

Popularity & adoption

70Good
How it's scored
42/60Stars — 391 stars
20.3/25Forks — 272 forks
7.4/15Watchers — 22 watchers
Inputs used
forks272
stars391
watchers22
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
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
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges8
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

77Good
How it's scored
61.7/80Monthly downloads — 42,608 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespyaedt
dependents—
ecosystemspypi
total_downloads—
monthly_downloads42,608
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?

86Excellent · 23% of overall

Maintainer resilience (bus factor)

84Excellent
How it's scored
43.2/54Bus factor — 4 contributor(s) cover half of all commits
17.1/22.5Commit distribution — top contributor authored 24% of commits
13.5/13.5Contributor breadth — 98 contributors
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Inputs used
bus_factor4
contributors_sampled98
top_contributor_share0.24

Issue & PR responsiveness

84Excellent
How it's scored
38.3/42Issue resolution — 91% of issues closed
27/30PR acceptance — 4,808/5,336 decided PRs merged
6.5/13Newcomer PR acceptance — 1/2 first-time contributors' PRs merged in 30d
12/15OpenSSF Scorecard: Code-Review — Found 18/21 approved changesets -- score normalized to 8
Inputs used
merged_prs4,808
open_issues201
closed_issues2,091
prs_merged_7d11
prs_decided_7d13
prs_merged_30d32
prs_decided_30d42
issue_closed_ratio0.912
closed_unmerged_prs528
first_time_authors_30d2
first_time_prs_merged_30d1
first_time_prs_decided_30d2

Ownership & stewardship

78Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
23.3/25Owner reach — 1,766 followers of ansys
25/25Track record — 220 public repos, account ~6 yr old
Inputs used
followers1,766
owner_typeOrganization
is_verifiedno
owner_loginansys
public_repos220
account_age_days2,296

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 7 days ago
20/20Version history — 312 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespyaedt
ecosystemspypi
any_deprecatedno
min_days_since_publish7

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 12 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 — 29 out of 29 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://aedt.docs.pyansys.com
10/10Repository description
10/10Topics — 4 topics
0/10Wiki
Inputs used
topicsansys, electronics, pyaedt, python
has_wikino
homepagehttps://aedt.docs.pyansys.com
docs_sitehttps://aedt.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?

75Good · 16% of overall

Security posture

69Good
How it's scored
0/7.5Binary-Artifacts — binaries present in source code
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 29 out of 29 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 18/21 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 8 contributing companies or organizations
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 — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
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
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6.9

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages30
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:pyaedt@1.5.0 runtime dependency closure — what installing the published package pulls in — 30 packages. Reachability is not analyzed.

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.

79Good · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — .github/copilot-instructions.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 62 of 62 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files.github/copilot-instructions.md
agent_instruction_max_bytes643

Verify loop (build / test / typecheck)

79Good
How it's scored
18/18One-command bootstrap — Makefile, doc/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
2/10Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 38 of the last 100 commits are automated dependency updates
8/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, doc/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.01
toolchain_manifests—
dependency_bot_commit_share0.38

Code legibility for models

48Weak
How it's scored
0/45Type-checkable code — Python without a type-check config
48.5/55Manageable file sizes — 62/525 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes3,929,376
source_files_sampled525
oversized_source_files62

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, notebooks
Inputs used
example_dirsexamples, notebooks
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

391GitHub stars
98contributors
877commits, last 12 months
0days since last push
100releases
4bus factor
201open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 14 authors (cap 12)

More detail

Star and fork history 0 ★ / 272 ⇿
0Stars
272Forks
100Releases

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.

05010015020025030027152021-072024-022026-09
Major 1Minor 26Patch 71

Each point covers 5 days.

OpenSSF Scorecard 6.9 / 10
6.9aggregate

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 · 2026-09-10 05:53 UTC

0Binary-Artifactsbinaries present in source code
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests29 out of 29 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 18/21 approved changesets -- score normalized to 8
10Contributorsproject has 8 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
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
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 11
RegistryPackageVersion constraintManifest
PyPIansys-tools-common—pyproject.toml
PyPIgrpcio>=1.50.0pyproject.toml
PyPIjsonschema—pyproject.toml
PyPIpsutil>=6.0.0pyproject.toml
PyPIpyedb>=0.75.0pyproject.toml
PyPItomli—pyproject.toml
PyPItomli-w—pyproject.toml
PyPIpyyaml—pyproject.toml
PyPIdefusedxml>=0.7pyproject.toml
PyPInumpy>=1.20.0pyproject.toml
PyPIpydantic>=2.6.4pyproject.toml
All dependencies 241

Full resolved dependency set from the GitHub dependency graph: 12 direct and 229 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIansys-tools-common0.5.1direct
PyPIdefusedxml0.7.1direct
PyPIgrpcio1.83.0direct
PyPIjsonschema4.26.0direct
PyPInumpy2.2.6direct
PyPInumpy2.4.6direct
PyPIpsutil7.2.2direct
PyPIpydantic2.13.4direct
PyPIpyedb0.83.0direct
PyPIpyyaml6.0.3direct
PyPItomli2.4.0direct
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PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIansys-api-edb0.3.0indirect
PyPIansys-edb-core0.3.1indirect
PyPIansys-pythonnet3.1.0rc8indirect
PyPIansys-sphinx-theme1.0.0indirect
PyPIansys-sphinx-theme1.11.0indirect
PyPIansys-tools-visualization-interface0.14.0indirect
PyPIanyio4.12.1indirect
PyPIappnope0.1.4indirect
PyPIargon2-cffi25.1.0indirect
PyPIargon2-cffi-bindings25.1.0indirect
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PyPIndindex1.10.1indirect
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PyPInest-asyncio21.7.2indirect
PyPInetworkx3.4.2indirect
PyPInetworkx3.6.1indirect
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PyPIopenpyxl3.1.5indirect
PyPIosmnx2.0.7indirect
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PyPIplatformdirs4.9.2indirect
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PyPIsix1.17.0indirect
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PyPIsphinx8.2.3indirect
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PyPIsphinx-autobuild2025.8.25indirect
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PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
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PyPItrame-vtk2.10.2indirect
PyPItrame-vuetify3.2.1indirect
PyPIty0.0.49indirect
PyPItyper0.27.0indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.3indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.41.0indirect
PyPIvtk9.6.2indirect
PyPIwatchfiles1.1.1indirect
PyPIwcwidth0.6.0indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwebsockets15.0.1indirect
PyPIwidgetsnbextension4.0.15indirect
PyPIwslink2.5.0indirect
PyPIyarl1.22.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:pyaedt@1.5.0 pulls in 30 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

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