Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-15 00:36 UTC

Djelibeybi / lifx-async

A modern, type-safe, async Python library for controlling LIFX lights

PythonUPL-1.0★ 7 stars⑂ 1 forksince Nov 2025View on GitHub ↗

Djelibeybi/lifx-async holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on Community & Adoption (38/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

86
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.

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

Ownership

Avi MillerPersonal account
186 followers46 public repossince Jul 2009@ColourWithin

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIlifx-async7.3.03,963945 days ago

Metrics by category

Vitality

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

91Excellent · 21% of overall
How it's scored
36/36Push recencylast push 1 days ago
27.7/36Commit cadence40/52 weeks with commits
18/18Commit volume681 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year681
human_commit_share0.97
days_since_last_push1
active_weeks_last_year40
How it's scored
27/27Ships releases93 releases published
36/36Release recencylatest release 5 days ago
27/27Release cadencea release every ~1.4 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count93
latest_release_tagv7.3.0
releases_from_tagsno
days_since_latest_release5
mean_days_between_releases1.4

Community & Adoption

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

38Weak · 17% of overall
How it's scored
12.6/60Stars7 stars
0/25Forks1 forks
0/15Watchers1 watchers
Inputs used
forks1
stars7
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (UPL-1.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_templateno
How it's scored
48/80Monthly downloads3,963 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packageslifx-async
dependents
ecosystemspypi
total_downloads
monthly_downloads3,963
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?

54Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0.1/22.5Commit distributiontop contributor authored 100% of commits
4.1/13.5Contributor breadth3 contributors
3/10OpenSSF Scorecard: Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.996
How it's scored
26.2/42Issue resolution62% of issues closed
28.9/30PR acceptance204/212 decided PRs merged
0/13Newcomer PR acceptance0/2 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/22 approved changesets -- score normalized to 0
Inputs used
merged_prs204
open_issues6
closed_issues10
prs_merged_7d3
prs_decided_7d3
prs_merged_30d18
prs_decided_30d21
issue_closed_ratio0.625
closed_unmerged_prs8
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d2
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
16.3/25Owner reach186 followers of Djelibeybi
24.2/25Track record46 public repos, account ~17 yr old
Inputs used
followers186
owner_typeUser
is_verified
owner_loginDjelibeybi
public_repos46
account_age_days6,276
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 5 days ago
20/20Version history94 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packageslifx-async
ecosystemspypi
any_deprecatedno
min_days_since_publish5

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests14 out of 14 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 sitehttps://djelibeybi.github.io/lifx-async/
10/10Repository description
10/10Topics7 topics
0/10Wiki
Inputs used
topicsasyncio, asyncio-python, lifx, lifx-bulbs, lifx-lan-protocol, lifx-lights, llms-txt
has_wikino
homepagehttps://djelibeybi.github.io/lifx-async/
docs_sitehttps://djelibeybi.github.io/lifx-async/
has_readmeyes
has_docs_diryes
has_descriptionyes

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-Artifactsno binaries found in the repo
3/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests14 out of 14 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 0/22 approved changesets -- score normalized to 0
0.8/2.5Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
5/5Pinned-Dependenciesall dependencies are pinned
5/5SASTSAST tool is run on all commits
5/5Security-Policysecurity policy file detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate7.3

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages67
unassessed_packages0
affected_by_severitynone
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 67 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.

90Excellent · 4% of overall
How it's scored
45/45Agent instructionsAGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt)llms.txt served by the project website (https://djelibeybi.github.io/lifx-async/llms.txt)
40/40Legible commit history83 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://djelibeybi.github.io/lifx-async/llms.txt
legible_history_share0.856
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes30,171
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
11/11Static type checkingsrc/lifx/py.typed
10/10Reproducible environmentlockfile
10/10Demonstrated agent practice22 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance3 of the last 100 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependenciesall dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configssrc/lifx/py.typed
agent_commit_share0.22
toolchain_manifests
dependency_bot_commit_share0.03
How it's scored
27/45Type-checkable codePython with type-check config (src/lifx/py.typed)
51.5/55Manageable file sizes18/286 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes310,107
source_files_sampled286
oversized_source_files18
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples
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

7GitHub stars
3contributors
681commits, last 12 months
1days since last push
93releases
1bus factor
6open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'lifx-async' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for lifx-async carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

OpenSSF Scorecard 7.3 / 10
7.3aggregate

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 · 2026-09-15 00:35 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests14 out of 14 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/22 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
10SASTSAST tool is run on all commits
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
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 67

Full resolved dependency set from the GitHub dependency graph: 0 direct and 67 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbeautifulsoup44.15.0indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.15.0indirect
PyPIdeepmerge2.1.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIghp-import2.1.0indirect
PyPIgriffelib2.1.0indirect
PyPIhatchling1.30.1indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIlifx-async7.3.0indirect
PyPIlifx-emulator-core3.7.0indirect
PyPIllmstxt-standalone0.2.0indirect
PyPImarkdown3.10.2indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkdownify1.2.3indirect
PyPImarkupsafe3.0.3indirect
PyPImdformat0.7.22indirect
PyPImdformat-tables1.0.0indirect
PyPImdurl0.1.2indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocstrings1.0.4indirect
PyPImkdocstrings-python2.0.5indirect
PyPInodeenv1.10.0indirect
PyPIpackaging26.2indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIprek0.4.8indirect
PyPIpy-cpuinfo9.0.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.20.0indirect
PyPIpymdown-extensions11.0.1indirect
PyPIpyright1.1.411indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-benchmark5.2.3indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-retry1.7.0indirect
PyPIpytest-sugar1.1.1indirect
PyPIpytest-timeout2.4.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIrich15.0.0indirect
PyPIruamel-yaml0.19.1indirect
PyPIruff0.15.20indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsoupsieve2.8.4indirect
PyPItermcolor3.3.0indirect
PyPItomli2.4.1indirect
PyPItrove-classifiers2026.6.1.19indirect
PyPItyper0.26.8indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.8.2indirect
PyPIzensical0.0.47indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 67 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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

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 statisticsPyPI.