Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-06 21:59 UTC

AdnanHodzic / auto-cpufreq

Automatic CPU speed & power optimizer for Linux

Python · ShellGPL-3.0★ 7,817 stars⑂ 358 forkssince Dec 2019View on GitHub ↗
KindCommand-line toolDesktop applicationTerminal interfacehow this is determined

AdnanHodzic/auto-cpufreq holds a health index of 71 out of 100, placing it in the Good band. It scores highest on Vitality (80/100) and lowest on AI Readiness (39/100). It was last updated 1 day 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

Adnan HodzicPersonal account
301 followers54 public repossince Sep 2011ING

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Metrics by category

Vitality

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

80Excellent · 21% of overall
How it's scored
36/36Push recency — last push 1 days ago
15.9/36Commit cadence — 23/52 weeks with commits
15.9/18Commit volume — 58 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year58
human_commit_share0.95
days_since_last_push1
active_weeks_last_year23
How it's scored
27/27Ships releases — 51 releases published
36/36Release recency — latest release 1 days ago
12.6/27Release cadence — a release every ~122.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count51
latest_release_tagv3.2.0
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases122.4
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?

71Good · 17% of overall
How it's scored
60/60Stars — 7,817 stars
21.3/25Forks — 358 forks
8.8/15Watchers — 40 watchers
Inputs used
forks358
stars7,817
watchers40
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (GPL-3.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com
has_pull_request_templateno

Sustainability & Governance

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

58Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
10.1/22.5Commit distribution — top contributor authored 55% of commits
13.5/13.5Contributor breadth — 99 contributors
10/10OpenSSF Scorecard: Contributors — project has 12 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled99
top_contributor_share0.549
How it's scored
36.8/42Issue resolution — 88% of issues closed
25/30PR acceptance — 287/344 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
7.5/15OpenSSF Scorecard: Code-Review — Found 15/29 approved changesets -- score normalized to 5
Inputs used
merged_prs287
open_issues65
closed_issues463
prs_merged_7d2
prs_decided_7d3
prs_merged_30d3
prs_decided_30d4
issue_closed_ratio0.877
closed_unmerged_prs57
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
17.8/25Owner reach — 301 followers of AdnanHodzic
24.7/25Track record — 54 public repos, account ~15 yr old
Inputs used
followers301
owner_typeUser
is_verified—
owner_loginAdnanHodzic
public_repos54
account_age_days5,504
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

55Moderate · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
0/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 16 out of 17 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsno
has_editorconfigno
has_linter_configno
has_precommit_configno
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://foolcontrol.org/?p=4603
10/10Repository description
10/10Topics — 18 topics
10/10Wiki
Inputs used
topicscpu, speed, power, frequency, turbo, boost, governor, linux, automatic, tool, daemon, monitor, monitoring, management, battery, laptop, cli, hacktoberfest
has_wikiyes
homepagehttps://foolcontrol.org/?p=4603
docs_sitehttps://foolcontrol.org/?p=4603
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

52Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.2/2.5CI-Tests — 16 out of 17 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3.8/7.5Code-Review — Found 15/29 approved changesets -- score normalized to 5
2.5/2.5Contributors — project has 12 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 15 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
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
0/7.5Vulnerabilities — 27 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5.1
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.
How it's scored
13/35Direct dependencies free of known advisories — 2 affected: click 8.1.8 (high 7.2), requests 2.32.5 (moderate 5.5)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
30.4/40No advisories left outstanding — 2 advisory-carrying package(s) unaddressed past 90 days; oldest published 195 days ago
Inputs used
sourceosv
advisories49
affected_packages10
assessed_packages53
unassessed_packages0
affected_by_severityhigh 6, moderate 4
direct_affected_packages2
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 53 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

39Weak · 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://snapcraft.io/llms.txt)
37.1/40Legible commit history — 66 of 95 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://snapcraft.io/llms.txt
legible_history_share0.695
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
0/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Nix, lockfile
6/10Demonstrated agent practice — 3 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 5 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixyes
has_testsno
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0.03
toolchain_manifests—
dependency_bot_commit_share0.05
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/18 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes56,095
source_files_sampled18
oversized_source_files0

Key facts

7,817GitHub stars
99contributors
58commits, last 12 months
1days since last push
51releases
1bus factor
65open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'auto-cpufreq' from its registry

More detail

Star and fork history 0 ★ / 358 ⇿
0Stars
358Forks
50Releases

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.

0125250375352132020-012023-052026-09
Major 2Minor 12Patch 32

Each point covers 7 days.

OpenSSF Scorecard 5.1 / 10
5.1aggregate

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 · 2026-10-06 21:59 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
9CI-Tests16 out of 17 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 15/29 approved changesets -- score normalized to 5
10Contributorsproject has 12 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 15 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
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
0Vulnerabilities27 existing vulnerabilities detected
Direct dependencies 8
RegistryPackageVersion constraintManifest
PyPIpsutil>=6.0.0,<8.0.0pyproject.toml
PyPIclick^8.1.0pyproject.toml
PyPIdistro^1.8.0pyproject.toml
PyPIrequests^2.32.4pyproject.toml
PyPIPyGObject^3.50.0pyproject.toml
PyPIurwid^3.0.2pyproject.toml
PyPIpyinotify—pyproject.toml
PyPIpyasyncore^1.0.4pyproject.toml
All dependencies 53

Full resolved dependency set from the GitHub dependency graph: 7 direct and 46 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIclick8.1.8direct
PyPIdistro1.9.0direct
PyPIpsutil7.0.0direct
PyPIpyasyncore1.0.4direct
PyPIpygobject3.50.0direct
PyPIrequests2.32.5direct
PyPIurwid3.0.3direct
PyPIbuild1.3.0indirect
PyPIcachecontrol0.14.3indirect
PyPIcertifi2025.8.3indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.3indirect
PyPIcleo2.1.0indirect
PyPIcolorama0.4.6indirect
PyPIcrashtest0.4.1indirect
PyPIcryptography43.0.3indirect
PyPIdistlib0.4.0indirect
PyPIdulwich0.21.7indirect
PyPIfastjsonschema2.21.2indirect
PyPIfilelock3.19.1indirect
PyPIidna3.10indirect
PyPIimportlib-metadata8.7.0indirect
PyPIinstaller0.7.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjeepney0.9.0indirect
PyPIkeyring24.3.1indirect
PyPImore-itertools10.8.0indirect
PyPImsgpack1.1.1indirect
PyPIpackaging25.0indirect
PyPIpexpect4.9.0indirect
PyPIpkginfo1.12.1.2indirect
PyPIplatformdirs4.4.0indirect
PyPIpoetry1.8.5indirect
PyPIpoetry-core1.9.1indirect
PyPIpoetry-plugin-export1.8.0indirect
PyPIptyprocess0.7.0indirect
PyPIpycairo1.28.0indirect
PyPIpycparser2.23indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIrapidfuzz3.13.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIsecretstorage3.3.3indirect
PyPIshellingham1.5.4indirect
PyPItomli2.2.1indirect
PyPItomlkit0.13.3indirect
PyPItrove-classifiers2025.9.11.17indirect
PyPItyping-extensions4.15.0indirect
PyPIurllib32.6.3indirect
PyPIvirtualenv20.36.1indirect
PyPIwcwidth0.2.13indirect
PyPIxattr1.2.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 10

This repository publishes no package the index resolves, so its own dependency graph was assessed — 53 packages, which also include development and test pins that never ship: 10 carry known advisories, of which 2 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
click8.1.8directhigh18.3.3
cryptography43.0.3indirecthigh1049.0.0
dulwich0.21.7indirecthigh61.2.9
msgpack1.1.1indirecthigh21.2.1
urllib32.6.3indirecthigh102.8.0
virtualenv20.36.1indirecthigh821.7.13
requests2.32.5directmoderate22.33.0
filelock3.19.1indirectmoderate43.20.3
idna3.10indirectmoderate23.15
poetry1.8.5indirectmoderate42.3.4

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

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.