Public record
Software health reportschema 0.15.0 · metrics 2.10.0 · 2026-07-19 10:17 UTC

arduino / report-size-deltas

GitHub Actions action that comments on pull requests with a report of change in memory usage of Arduino sketches

PythonCustom license★ 21 stars⑂ 7 forkssince Sep 2020View on GitHub ↗
#arduino#continuous-integration#ci#github-actions

arduino/report-size-deltas holds a health index of 71 out of 100, placing it in the Good band. It scores highest on Engineering Quality (80/100) and lowest on Community & Adoption (37/100). It was last updated 3 days ago. A single contributor accounts for most of its recent work.

71
overall / 100
Good

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.

71
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 63 is calibrated to 71 on the published index scale (record calibration 2026-08-02).

Ownership

ArduinoOrganization
5,859 followers278 public repossince Aug 2010

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?

67Good · 21% of overall

Development activity

88Excellent
How it's scored
36/36Push recency — last push 3 days ago
24.2/36Commit cadence — 35/52 weeks with commits
18/18Commit volume — 138 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year138
human_commit_share—
days_since_last_push3
active_weeks_last_year35

Release discipline

36Weak
How it's scored
27/27Ships releases — 3 releases published
0/36Release recency — latest release 906 days ago
5.4/27Release cadence — a release every ~510.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count3
latest_release_tagv1.1.0
releases_from_tagsno
days_since_latest_release906
mean_days_between_releases510.8
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?

37Weak · 17% of overall

Popularity & adoption

30At Risk
How it's scored
21.1/60Stars — 21 stars
6.5/25Forks — 7 forks
2.7/15Watchers — 4 watchers
Inputs used
forks7
stars21
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

44Weak
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

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

67Good · 23% of overall

Maintainer resilience (bus factor)

33At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
7.3/22.5Commit distribution — top contributor authored 67% of commits
6.8/13.5Contributor breadth — 5 contributors
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled5
top_contributor_share0.674

Issue & PR responsiveness

74Good
How it's scored
26.7/42Issue resolution — 64% of issues closed
26.8/30PR acceptance — 174/195 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs174
open_issues4
closed_issues7
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.636
closed_unmerged_prs21
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, OpenSSF Scorecard: Code-Review. Remaining weights renormalized.

Ownership & stewardship

100Exceptional
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
25/25Owner reach — 5,859 followers of arduino
25/25Track record — 278 public repos, account ~15 yr old
Inputs used
followers5,859
owner_typeOrganization
is_verified—
owner_loginarduino
public_repos278
account_age_days5,803
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 11 workflow(s)
24/24Tests present
16/16Linter config — .flake8
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 15 out of 15 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

75Good
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 4 topics
0/10Wiki
Inputs used
topicsarduino, continuous-integration, ci, github-actions
has_wikino
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?

62Moderate · 16% of overall

Security posture

62Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 15 out of 15 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
0/7.5Code-Review — no data
2.5/2.5Contributors — project has 4 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
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 15 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate6.2
Excluded from scoring (no data or not applicable): Code-Review, Packaging, 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.

44Weak · 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)

73Good
How it's scored
18/18One-command bootstrap — Taskfile.yml
22/22Automated tests
11/11Lint / format config — .flake8
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, poetry.lock
has_dockerfileyes
typed_languageno
bootstrap_filesTaskfile.yml
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 — 0/2 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes41,114
source_files_sampled2
oversized_source_files0

Key facts

21GitHub stars
5contributors
138commits, last 12 months
3days since last push
3releases
1bus factor
4open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Could not fetch pypi package 'arduino/report-size-deltas' from its registry

More detail

OpenSSF Scorecard 6.2 / 10
6.2aggregate

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 · 2026-07-19 10:16 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests15 out of 15 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
n/aCode-ReviewFound no human activity in the last 15 changesets
10Contributorsproject has 4 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities15 existing vulnerabilities detected
All dependencies 372

Full resolved dependency set from the GitHub dependency graph: 0 direct and 372 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIhttpx0.28.1indirect
PyPIidna3.15indirect
PyPIimportlib-metadata8.6.1indirect
PyPIiniconfig2.0.0indirect
PyPIinstaller0.7.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.0.1indirect
PyPIjaraco-functools4.1.0indirect
PyPIjeepney0.9.0indirect
PyPIkeyring25.6.0indirect
PyPImccabe0.7.0indirect
PyPImore-itertools10.6.0indirect
PyPImsgpack1.2.1indirect
PyPImypy1.7.1indirect
PyPImypy-extensions1.0.0indirect
PyPIpackaging24.2indirect
PyPIpathspec1.0.4indirect
PyPIpbs-installer2026.3.25indirect
PyPIpep8-naming0.13.3indirect
PyPIpkginfo1.12.1.2indirect
PyPIplatformdirs4.1.0indirect
PyPIpluggy1.6.0indirect
PyPIpoetry2.3.4indirect
PyPIpoetry-core2.3.2indirect
PyPIpycodestyle2.11.1indirect
PyPIpycparser2.22indirect
PyPIpyflakes3.1.0indirect
PyPIpygments2.20.0indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest9.0.3indirect
PyPIpytest-mock3.12.0indirect
PyPIpytokens0.4.1indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIrapidfuzz3.12.2indirect
PyPIrequests2.33.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIsecretstorage3.3.3indirect
PyPIshellingham1.5.4indirect
PyPIsniffio1.3.1indirect
PyPItomlkit0.13.2indirect
PyPItrove-classifiers2025.3.3.18indirect
PyPItyping-extensions4.9.0indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv20.36.1indirect
PyPIxattr1.1.4indirect
PyPIzipp3.21.0indirect
PyPIzstandard0.23.0indirect
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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 v0.15.0 — full methodology · metrics wiki.

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