Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-27 07:41 UTC

LedFx / python-samplerate-ledfx

Python bindings for libsamplerate based on CFFI and NumPy

Python · C++MIT★ 0 stars⑂ 0 forkssince Nov 2025forkView on GitHub ↗
KindCommand-line toolLibraryhow this is determined

LedFx/python-samplerate-ledfx holds a health index of 65 out of 100, placing it in the Good band. It scores highest on Security (78/100) and lowest on Community & Adoption (23/100). It was last updated today. 2 contributors account for most of its recent work.

65
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.

65
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 60 is calibrated to 65 on the published index scale (record calibration 2026-08-02).

Ownership

LedFxOrganization
57 followers16 public repossince Dec 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIsamplerate-ledfx0.3.02,62950 days agosamplerateconvertersignal-processingaudio

Metrics by category

Vitality

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

76Good · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
4.2/36Commit cadence — 6/52 weeks with commits
14.9/18Commit volume — 45 commits in the last year
10/10OpenSSF Scorecard: Maintained — 16 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year45
human_commit_share0.88
days_since_last_push0
active_weeks_last_year6
How it's scored
27/27Ships releases — 5 releases published
36/36Release recency — latest release 0 days ago
19.8/27Release cadence — a release every ~78 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count5
latest_release_tagv0.3.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases78
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?

23At Risk · 17% of overall
How it's scored
0/60Stars — 0 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
0/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeno
has_licenseno
readme_badges5
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesreadthedocs.org, shields.io
has_pull_request_templateno
How it's scored
45.6/80Monthly downloads — 2,629 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagessamplerate-ledfx
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,629
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?

68Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
11.8/22.5Commit distribution — top contributor authored 48% of commits
6.8/13.5Contributor breadth — 5 contributors
10/10OpenSSF Scorecard: Contributors — project has 7 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled5
top_contributor_share0.476
How it's scored
0/42Issue resolution — no issues or no data
28.3/30PR acceptance — 17/18 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/5 approved changesets -- score normalized to 0
Inputs used
merged_prs17
open_issues0
closed_issues0
prs_merged_7d4
prs_decided_7d4
prs_merged_30d4
prs_decided_30d4
issue_closed_ratio—
closed_unmerged_prs1
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
12.7/25Owner reach — 57 followers of LedFx
20.5/25Track record — 16 public repos, account ~5 yr old
Inputs used
followers57
owner_typeOrganization
is_verifiedno
owner_loginLedFx
public_repos16
account_age_days2,115

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 — 5 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagessamplerate-ledfx
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

52Moderate · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests — 7 out of 8 merged PRs checked by a CI test -- score normalized to 8
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno
How it's scored
0/30README
25/25Documentation directory
0/15Documentation / homepage site
0/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_site—
has_readmeno
has_docs_diryes
has_descriptionno

Security

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

78Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2/2.5CI-Tests — 7 out of 8 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/5 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 7 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 — 16 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 — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7.2
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories4
affected_packages2
assessed_packages13
unassessed_packages0
affected_by_severitymoderate 1, low 1
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 13 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.

61Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
20.6/40Legible commit history — 34 of 88 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.386
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 10 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 1 of the last 100 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0.1
toolchain_manifests—
dependency_bot_commit_share0.01
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/12 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes31,414
source_files_sampled12
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

0GitHub stars
5contributors
45commits, last 12 months
0days since last push
5releases
2bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Community profile unavailable
  • deps.dev does not index pypi:samplerate-ledfx@0.3.0; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 7.2 / 10
7.2aggregate

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 · 2026-09-27 07:41 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
8CI-Tests7 out of 8 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/5 approved changesets -- score normalized to 0
10Contributorsproject has 7 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained16 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
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPInumpy>=1.23.2pyproject.toml
All dependencies 13

Full resolved dependency set from the GitHub dependency graph: 1 direct and 12 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPInumpy2.3.5direct
PyPIcolorama0.4.6indirect
PyPIiniconfig2.3.0indirect
PyPIpackaging25.0indirect
PyPIpluggy1.6.0indirect
PyPIpygments2.19.2indirect
PyPIpytest9.0.1indirect
PyPIpytest-asyncio1.3.0indirect
PyPIsetuptools83.0.0indirect
PyPIsetuptools-scm9.2.2indirect
PyPItyping-extensions4.15.0indirect
PyPIuvloop0.22.1indirect
PyPIwinloop0.3.1indirect
Dependency advisories 2

This repository publishes no package the index resolves, so its own dependency graph was assessed — 13 packages, which also include development and test pins that never ship: 2 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
pytest9.0.1indirectmoderate29.0.3
pygments2.19.2indirectlow22.20.0

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 — PyPI.