Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-10 02:58 UTC

kizniche / Mycodo

An environmental monitoring and regulation system

Python · HTMLGPL-3.0★ 3,294 stars⑂ 565 forkssince Feb 2015View on GitHub ↗

kizniche/Mycodo holds a health index of 73 out of 100, placing it in the Good band. It scores highest on Engineering Quality (81/100) and lowest on AI Readiness (50/100). It was last updated 68 days ago. A single contributor accounts for most of its recent work.

73
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.

73
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 64 is calibrated to 73 on the published index scale (record calibration 2026-08-02).

Ownership

Kyle GabrielPersonal account
556 followers48 public repossince Jun 2011

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?

64Moderate · 21% of overall
How it's scored
18/36Push recency — last push 68 days ago
13.8/36Commit cadence — 20/52 weeks with commits
18/18Commit volume — 122 commits in the last year
0/10OpenSSF Scorecard: Maintained — 1 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year122
human_commit_share0.8
days_since_last_push68
active_weeks_last_year20
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 68 days ago
12.6/27Release cadence — a release every ~134.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv8.17.0
releases_from_tagsno
days_since_latest_release68
mean_days_between_releases134.9
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?

72Good · 17% of overall
How it's scored
57.1/60Stars — 3,294 stars
22.9/25Forks — 565 forks
11.5/15Watchers — 119 watchers
Inputs used
forks565
stars3,294
watchers119
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_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

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

55Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.1/22.5Commit distribution — top contributor authored 95% of commits
13.5/13.5Contributor breadth — 53 contributors
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled53
top_contributor_share0.953
How it's scored
38.9/42Issue resolution — 93% of issues closed
23.8/30PR acceptance — 161/203 decided PRs merged
0/13Newcomer PR acceptance — 0/2 first-time contributors' PRs merged in 30d
3/15OpenSSF Scorecard: Code-Review — Found 1/5 approved changesets -- score normalized to 2
Inputs used
merged_prs161
open_issues96
closed_issues1,202
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d2
issue_closed_ratio0.926
closed_unmerged_prs42
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d2
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
19.7/25Owner reach — 556 followers of kizniche
24.3/25Track record — 48 public repos, account ~15 yr old
Inputs used
followers556
owner_typeUser
is_verified—
owner_loginkizniche
public_repos48
account_age_days5,602
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

81Excellent · 19% of overall
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 15 out of 15 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — http://kylegabriel.com/projects/
10/10Repository description
10/10Topics — 18 topics
10/10Wiki
Inputs used
topicsraspberry-pi, sensors, regulation, monitoring, environment, relay, pid, python, automation, grow, cultivation, mushroom, plants, graphs, timer, measurements, time-series, hydroponic
has_wikiyes
homepagehttp://kylegabriel.com/projects/
docs_sitehttp://kylegabriel.com/projects/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

54Moderate · 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 — 15 out of 15 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
1.5/7.5Code-Review — Found 1/5 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 8 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
0/7.5Maintained — 1 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
4.5/5SAST — SAST tool is not run on all commits -- score normalized to 9
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_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.2
Excluded from scoring (no data or not applicable): Packaging, 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
advisories53
affected_packages9
assessed_packages45
unassessed_packages0
affected_by_severitycritical 1, moderate 7, 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 45 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.

50Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
26.7/40Legible commit history — 40 of 80 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.5
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile
6/10Demonstrated agent practice — 3 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 9 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_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0.03
toolchain_manifests—
dependency_bot_commit_share0.09
How it's scored
0/45Type-checkable code — Python without a type-check config
54/55Manageable file sizes — 11/622 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes1,137,284
source_files_sampled622
oversized_source_files11
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

3,294GitHub stars
53contributors
122commits, last 12 months
68days since last push
100releases
1bus factor
96open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 565 ⇿
0Stars
565Forks
100Releases

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.

010020030040050060055692015-022020-122026-09
Major 1Minor 19Patch 80

Each point covers 11 days.

OpenSSF Scorecard 4.2 / 10
4.2aggregate

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 · 2026-10-10 02:58 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests15 out of 15 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 1/5 approved changesets -- score normalized to 2
10Contributorsproject has 8 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained1 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
9SASTSAST tool is not run on all commits -- score normalized to 9
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities27 existing vulnerabilities detected
All dependencies 45

Full resolved dependency set from the GitHub dependency graph: 0 direct and 45 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIalembic1.17.2indirect
PyPIargparse1.4.0indirect
PyPIbcrypt5.0.0indirect
PyPIdistro1.9.0indirect
PyPIemail-validator2.3.0indirect
PyPIfactory-boy3.3.3indirect
PyPIfilelock3.20.1indirect
PyPIflask3.1.2indirect
PyPIflask-accept0.0.7indirect
PyPIflask-babel4.0.0indirect
PyPIflask-compress1.23indirect
PyPIflask-limiter4.1.1indirect
PyPIflask-login0.6.3indirect
PyPIflask-marshmallow1.3.0indirect
PyPIflask-restx1.3.2indirect
PyPIflask-session0.8.0indirect
PyPIflask-sqlalchemy3.1.1indirect
PyPIflask-talisman1.1.0indirect
PyPIflask-wtf1.2.2indirect
PyPIgeocoder1.38.1indirect
PyPIgunicorn23.0.0indirect
PyPIimportlib-metadata8.7.1indirect
PyPIinfluxdb5.3.2indirect
PyPIinfluxdb-client1.49.0indirect
PyPImarkupsafe3.0.3indirect
PyPImarshmallow-sqlalchemy1.4.2indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-i18n0.4.6indirect
PyPImkdocs-material9.5.39indirect
PyPImkdocs-minify-plugin0.8.0indirect
PyPImkdocs-with-pdf0.9.3indirect
PyPImock5.2.0indirect
PyPIpillow10.4.0indirect
PyPIpygments2.18.0indirect
PyPIpyro55.16indirect
PyPIpyserial3.5indirect
PyPIpytest9.0.2indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIrequests2.32.5indirect
PyPIsetuptools80.9.0indirect
PyPIsqlalchemy2.0.45indirect
PyPItestfixtures10.0.0indirect
PyPIwebtest3.0.7indirect
PyPIwerkzeug3.1.4indirect
PyPIwtforms3.2.1indirect
Dependency advisories 9

This repository publishes no package the index resolves, so its own dependency graph was assessed — 45 packages, which also include development and test pins that never ship: 9 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
pillow10.4.0indirectcritical3412.3.0
filelock3.20.1indirectmoderate23.20.3
flask3.1.2indirectmoderate23.1.3
mkdocs-material9.5.39indirectmoderate29.7.7
pytest9.0.2indirectmoderate29.0.3
requests2.32.5indirectmoderate22.33.0
setuptools80.9.0indirectmoderate283.0.0
werkzeug3.1.4indirectmoderate53.1.9
pygments2.18.0indirectlow22.20.0

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.