Public record
Software health reportschema 0.12.0 · metrics 2.10.0 · 2026-07-17 21:39 UTC

esphome / aioesphomeapi

Python Client for ESPHome native API. Used by Home Assistant.

PythonMIT★ 193 stars⑂ 99 forkssince Dec 2018View on GitHub ↗

esphome/aioesphomeapi holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (98/100) and lowest on Community & Adoption (65/100). It was last updated today. 2 contributors account for most of its recent work.

94
overall / 100
Exceptional

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.

94
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 80 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

ESPHomeOrganization
1,536 followers65 public repossince Dec 2018

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?

98Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
33.2/36Commit cadence48/52 weeks with commits
18/18Commit volume679 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year679
human_commit_share
days_since_last_push0
active_weeks_last_year48

Release discipline

100Exceptional
How it's scored
27/27Ships releases100 releases published
36/36Release recencylatest release 0 days ago
27/27Release cadencea release every ~6.1 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count100
latest_release_tagv45.6.1
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases6.1
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?

65Good · 17% of overall
How it's scored
37/60Stars193 stars
16.6/25Forks99 forks
5.3/15Watchers10 watchers
Inputs used
forks99
stars193
watchers10
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingno
has_issue_templateno
has_code_of_conductyes
readme_badge_services
has_pull_request_templateyes

Sustainability & Governance

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

80Excellent · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
16.3/22.5Commit distributiontop contributor authored 28% of commits
13.5/13.5Contributor breadth60 contributors
10/10OpenSSF Scorecard: Contributorsproject has 32 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled60
top_contributor_share0.277
How it's scored
42/42Issue resolution100% of issues closed
26.7/30PR acceptance1,518/1,703 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-ReviewFound 4/15 approved changesets -- score normalized to 2
Inputs used
merged_prs1,518
open_issues0
closed_issues106
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio1
closed_unmerged_prs185
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. Remaining weights renormalized.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
22.9/25Owner reach1,536 followers of esphome
25/25Track record65 public repos, account ~7 yr old
Inputs used
followers1,536
owner_typeOrganization
is_verified
owner_loginesphome
public_repos65
account_age_days2,770
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall
How it's scored
24/24CI workflows7 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests23 out of 23 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
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage sitehttps://esphome.io/
10/10Repository description
10/10Topics6 topics
0/10Wiki
Inputs used
topicspython, home-automation, home-assistant, iot, internet-of-things, asyncio
has_wikino
homepagehttps://esphome.io/
docs_sitehttps://esphome.io/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

72Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
2.2/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests23 out of 23 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
1.5/7.5Code-ReviewFound 4/15 approved changesets -- score normalized to 2
2.5/2.5Contributorsproject has 32 contributing companies or organizations
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 8 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
4/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
5/5SASTSAST tool is run on all commits
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 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.

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.

71Good · 4% of overall
How it's scored
45/45Agent instructionsCLAUDE.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes11,512
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
11/11Static type checkingaioesphomeapi/py.typed, mypy.ini
10/10Reproducible environmentdevcontainer, Dockerfile
0/10Demonstrated agent practiceno data
5/8Automated maintenancedependency automation configured, none observed in the sampled commits
8/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontaineryes
has_linter_configyes
typecheck_configsaioesphomeapi/py.typed, mypy.ini
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
27/45Type-checkable codePython with type-check config (aioesphomeapi/py.typed, mypy.ini)
50.2/55Manageable file sizes6/69 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes204,914
source_files_sampled69
oversized_source_files6
How it's scored
40/40API schema (OpenAPI/GraphQL/proto)aioesphomeapi/api.proto, aioesphomeapi/api_options.proto
0/20MCP servernot applicable to this kind of software
0/40Runnable examples
Inputs used
example_dirs
has_mcp_signalno
api_schema_filesaioesphomeapi/api.proto, aioesphomeapi/api_options.proto
interfaces_expected_of
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

193GitHub stars
60contributors
679commits, last 12 months
0days since last push
100releases
2bus factor
0open issues
PyPIpackage ecosystems

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 · 2026-07-17 21:38 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests23 out of 23 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 4/15 approved changesets -- score normalized to 2
10Contributorsproject has 32 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 8 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
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
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 22

Full resolved dependency set from the GitHub dependency graph: 0 direct and 22 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiohappyeyeballsindirect
PyPIasync-interruptindirect
PyPIchacha20poly1305-reuseableindirect
PyPIcryptographyindirect
PyPIcythonindirect
PyPIisort8.0.1indirect
PyPImypy2.1.0indirect
PyPInoiseprotocolindirect
PyPIprotobufindirect
PyPIpylint4.0.6indirect
PyPIpytestindirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-codspeed5.0.3indirect
PyPIpytest-covindirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIruff0.15.20indirect
PyPIsetuptoolsindirect
PyPItypes-protobuf7.34.1.20260518indirect
PyPItzdataindirect
PyPItzlocalindirect
PyPIzeroconfindirect
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 v0.12.0 — full methodology · metrics wiki.

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