Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-21 14:00 UTC

sassoftware / viya4-iac-aws

This project contains Terraform configuration files to provision infrastructure components required to deploy SAS Viya platform products products on Amazon AWS.

HCL · GoApache-2.0★ 51 stars⑂ 57 forkssince Sep 2020View on GitHub ↗

sassoftware/viya4-iac-aws holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (89/100) and lowest on Security (50/100). It was last updated 2 days ago. 3 contributors account for most of its recent work.

89
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.

89
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 75 is calibrated to 89 on the published index scale (record calibration 2026-08-02).

Ownership

SAS SoftwareOrganization · verified domain
943 followers140 public repossince Aug 2013

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?

82Excellent · 21% of overall
How it's scored
36/36Push recency — last push 2 days ago
13.8/36Commit cadence — 20/52 weeks with commits
13.4/18Commit volume — 30 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year30
human_commit_share0.93
days_since_last_push2
active_weeks_last_year20

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 56 releases published
36/36Release recency — latest release 36 days ago
27/27Release cadence — a release every ~43.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count56
latest_release_tagv8.17.0
releases_from_tagsno
days_since_latest_release36
mean_days_between_releases43.6

Community & Adoption

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

66Good · 17% of overall
How it's scored
27.6/60Stars — 51 stars
14.6/25Forks — 57 forks
6.7/15Watchers — 17 watchers
Inputs used
forks57
stars51
watchers17
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 (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

84Excellent · 23% of overall
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
15.3/22.5Commit distribution — top contributor authored 32% of commits
13.5/13.5Contributor breadth — 33 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor3
contributors_sampled33
top_contributor_share0.321
How it's scored
35.3/42Issue resolution — 84% of issues closed
24.4/30PR acceptance — 261/321 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs261
open_issues17
closed_issues90
prs_merged_7d0
prs_decided_7d0
prs_merged_30d2
prs_decided_30d2
issue_closed_ratio0.841
closed_unmerged_prs60
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
21.4/25Owner reach — 943 followers of sassoftware
25/25Track record — 140 public repos, account ~13 yr old
Inputs used
followers943
owner_typeOrganization
is_verifiedyes
owner_loginsassoftware
public_repos140
account_age_days4,807

Engineering Quality

Are baseline engineering and documentation practices in place?

89Excellent · 19% of overall
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 8 topics
10/10Wiki
Inputs used
topicsiac, aws, terraform, cloud-resources, eks, sas-viya, sas-osp, sas-config
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

50Moderate · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
25/25Dependabot config
25/25Dependency lockfiles — go.sum
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfilesgo.sum
manifeststest/go.mod
has_codeql_workflowno
has_security_policyno
has_dependabot_configyes

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.

68Good · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.docker.com/llms.txt)
40/40Legible commit history — 81 of 93 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.docker.com/llms.txt
legible_history_share0.871
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
12.6/18One-command bootstrap — test/go.mod (toolchain convention, no task runner)
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 7 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfilesgo.sum
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifeststest/go.mod
dependency_bot_commit_share0.07
How it's scored
0/45Type-checkable code — HCL without a type-check config
55/55Manageable file sizes — 0/21 source files over 60KB
Inputs used
primary_languageHCL
largest_source_bytes7,586
source_files_sampled21
oversized_source_files0
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

51GitHub stars
33contributors
30commits, last 12 months
2days since last push
56releases
3bus factor
17open issues
Gopackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
  • OpenSSF Scorecard did not return a usable result (exit code 0; Skipping github.com/sassoftware/viya4-iac-aws: run: internal error: ListCommits:error during graphqlHandler.setup: internal error: githubv4.Query: Something went wrong while executing your query on 2026-10-21T14:00:20Z. Please include `92FE:17D5EB:1070725:17D40E8:6AD8C571` when reporting this issue.); skipping Scorecard checks

More detail

Star and fork history 0 ★ / 57 ⇿
0Stars
57Forks
53Releases

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.

01020304050605722021-042023-122026-08
Major 8Minor 34Patch 11

Each point covers 5 days.

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

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.