Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-27 11:38 UTC

iMicknl / python-overkiz-api

A fully asynchronous and user-friendly API client for the OverKiz platform. This client enables interaction with smart devices connected to OverKiz, supporting multiple vendors such as Somfy TaHoma and Atlantic Cozytouch.

PythonMIT★ 58 stars⑂ 36 forkssince Jul 2020View on GitHub ↗

iMicknl/python-overkiz-api holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Vitality (97/100) and lowest on Community & Adoption (54/100). It was last updated today. A single contributor accounts for most of its recent work.

91
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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

Mick VleeshouwerPersonal account
306 followers81 public repossince Feb 2012@AWS Startups

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
PyPIpyoverkiz2.1.243,6481170 days ago

Metrics by category

Vitality

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

97Exceptional · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
31.2/36Commit cadence — 45/52 weeks with commits
18/18Commit volume — 371 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year371
human_commit_share0.21
days_since_last_push0
active_weeks_last_year45

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~12.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv2.1.2
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases12.7
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?

54Moderate · 17% of overall
How it's scored
28.5/60Stars — 58 stars
12.9/25Forks — 36 forks
1.7/15Watchers — 3 watchers
Inputs used
forks36
stars58
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
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_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno
How it's scored
61.9/80Monthly downloads — 43,648 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespyoverkiz
dependents—
ecosystemspypi
total_downloads—
monthly_downloads43,648
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?

66Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
7/22.5Commit distribution — top contributor authored 69% of commits
13.5/13.5Contributor breadth — 25 contributors
10/10OpenSSF Scorecard: Contributors — project has 15 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled25
top_contributor_share0.689
How it's scored
40.8/42Issue resolution — 97% of issues closed
20.7/30PR acceptance — 1,485/2,153 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/4 approved changesets -- score normalized to 0
Inputs used
merged_prs1,485
open_issues3
closed_issues101
prs_merged_7d0
prs_decided_7d0
prs_merged_30d2
prs_decided_30d2
issue_closed_ratio0.971
closed_unmerged_prs668
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
17.9/25Owner reach — 306 followers of iMicknl
25/25Track record — 81 public repos, account ~14 yr old
Inputs used
followers306
owner_typeUser
is_verified—
owner_loginiMicknl
public_repos81
account_age_days5,343
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

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 — 117 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespyoverkiz
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 29 out of 29 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 site — https://imicknl.github.io/python-overkiz-api/
10/10Repository description
10/10Topics — 9 topics
0/10Wiki
Inputs used
topicstahoma, python, somfy, overkiz, tahoma-api, rexel, cozy-touch, hi-kumo, atlantic
has_wikino
homepagehttps://imicknl.github.io/python-overkiz-api/
docs_sitehttps://imicknl.github.io/python-overkiz-api/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

73Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 29 out of 29 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 — Found 0/4 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 15 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 6 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
6/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
3.8/7.5Vulnerabilities — 5 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.6
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
advisories10
affected_packages2
assessed_packages68
unassessed_packages0
affected_by_severityhigh 2
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 68 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.

81Excellent · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://code.visualstudio.com/llms.txt)
35.6/40Legible commit history — 14 of 21 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://code.visualstudio.com/llms.txt
legible_history_share0.667
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes11,177
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — pyoverkiz/py.typed
10/10Reproducible environment — devcontainer, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 79 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_files—
has_devcontaineryes
has_linter_configyes
typecheck_configspyoverkiz/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.79
How it's scored
27/45Type-checkable code — Python with type-check config (pyoverkiz/py.typed)
47.9/55Manageable file sizes — 7/54 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes255,080
source_files_sampled54
oversized_source_files7

Key facts

58GitHub stars
25contributors
371commits, last 12 months
0days since last push
100releases
1bus factor
3open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:pyoverkiz@2.1.2; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 36 ⇿
0Stars
36Forks
99Releases

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.

01325383612021-012023-112026-09
Major 1Minor 18Patch 71

Each point covers 6 days.

OpenSSF Scorecard 6.6 / 10
6.6aggregate

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 11:37 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests29 out of 29 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 0/4 approved changesets -- score normalized to 0
10Contributorsproject has 15 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 6 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
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
8Token-Permissionsdetected GitHub workflow tokens with excessive permissions
5Vulnerabilities5 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIaiohttp>=3.10.3,<4.0.0pyproject.toml
PyPIbackoff<3.0,>=1.10.0pyproject.toml
PyPIattrs>=22.2pyproject.toml
PyPIcattrs>=23.2pyproject.toml
All dependencies 68

Full resolved dependency set from the GitHub dependency graph: 4 direct and 64 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiohttp3.14.3direct
PyPIattrs26.1.0direct
PyPIbackoff2.2.1direct
PyPIcattrs26.2.0direct
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiosignal1.4.0indirect
PyPIast-serialize0.6.0indirect
PyPIbabel2.18.0indirect
PyPIbackrefs7.0indirect
PyPIboto31.43.98indirect
PyPIbotocore1.43.100indirect
PyPIcertifi2025.6.15indirect
PyPIcharset-normalizer3.4.2indirect
PyPIclick8.3.3indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.13.0indirect
PyPIecdsa0.19.1indirect
PyPIenvs1.4indirect
PyPIfrozenlist1.7.0indirect
PyPIghp-import2.1.0indirect
PyPIgriffelib2.0.2indirect
PyPIidna3.15indirect
PyPIiniconfig2.1.0indirect
PyPIjinja23.1.6indirect
PyPIjmespath1.0.1indirect
PyPIlibrt0.13.0indirect
PyPImarkdown3.10.2indirect
PyPImarkupsafe3.0.3indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-material9.7.7indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocstrings1.0.4indirect
PyPImkdocstrings-python2.0.3indirect
PyPImultidict6.5.0indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPIpackaging25.0indirect
PyPIpaginate0.5.7indirect
PyPIpathspec1.0.4indirect
PyPIplatformdirs4.5.1indirect
PyPIpluggy1.6.0indirect
PyPIprek0.5.3indirect
PyPIpropcache0.3.2indirect
PyPIpyasn10.6.3indirect
PyPIpygments2.20.0indirect
PyPIpymdown-extensions12.0.1indirect
PyPIpyoverkiz2.1.2indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-jose3.5.0indirect
PyPIpyyaml6.0.2indirect
PyPIpyyaml-env-tag1.1indirect
PyPIrequests2.33.0indirect
PyPIrsa4.9.1indirect
PyPIruff0.16.8indirect
PyPIs3transfer0.19.0indirect
PyPIsix1.17.0indirect
PyPIty0.0.82indirect
PyPItyping-extensions4.15.0indirect
PyPIurllib32.7.0indirect
PyPIwarrant-lite1.0.4indirect
PyPIwatchdog6.0.0indirect
PyPIyarl1.20.1indirect
Dependency advisories 2

This repository publishes no package the index resolves, so its own dependency graph was assessed — 68 packages, which also include development and test pins that never ship: 2 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
ecdsa0.19.1indirecthigh40.19.2
pyasn10.6.3indirecthigh60.6.4

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 — PyPI.