Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-11 05:23 UTC

HiDiHo01 / python-frank-energie

Asynchronous Python package for Frank Energie. Retrieve energy prices for Frank energie.

PythonApache-2.0★ 10 stars⑂ 4 forkssince Apr 2025View on GitHub ↗

HiDiHo01/python-frank-energie holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Community & Adoption (43/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

87
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.

87
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 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).

Ownership

RoyPersonal account
13 followers42 public repossince Dec 2021

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 publishTags
PyPIpython-frank-energie2026.9.9.post216,871611 day agohome-assistantenergyasyncasyncioapifrank-energie

Metrics by category

Vitality

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

93Exceptional · 21% of overall
How it's scored
36/36Push recency — last push 1 days ago
24.9/36Commit cadence — 36/52 weeks with commits
18/18Commit volume — 352 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year352
human_commit_share0.68
days_since_last_push1
active_weeks_last_year36

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 33 releases published
36/36Release recency — latest release 1 days ago
27/27Release cadence — a release every ~8.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count33
latest_release_tagv2026.9.9r2
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases8.8
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?

43Weak · 17% of overall
How it's scored
15.5/60Stars — 10 stars
4/25Forks — 4 forks
0/15Watchers — 1 watchers
Inputs used
forks4
stars10
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com
has_pull_request_templateno
How it's scored
56.4/80Monthly downloads — 16,871 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespython-frank-energie
dependents—
ecosystemspypi
total_downloads—
monthly_downloads16,871
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?

61Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
6.5/22.5Commit distribution — top contributor authored 71% of commits
9.5/13.5Contributor breadth — 7 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled7
top_contributor_share0.711
How it's scored
36/42Issue resolution — 86% of issues closed
26.9/30PR acceptance — 145/162 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
7.5/15OpenSSF Scorecard: Code-Review — Found 7/14 approved changesets -- score normalized to 5
Inputs used
merged_prs145
open_issues1
closed_issues6
prs_merged_7d2
prs_decided_7d2
prs_merged_30d7
prs_decided_30d7
issue_closed_ratio0.857
closed_unmerged_prs17
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
8.2/25Owner reach — 13 followers of HiDiHo01
21.3/25Track record — 42 public repos, account ~4 yr old
Inputs used
followers13
owner_typeUser
is_verified—
owner_loginHiDiHo01
public_repos42
account_age_days1,714
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 1 days ago
20/20Version history — 61 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespython-frank-energie
ecosystemspypi
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows — 9 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.black])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 20 out of 20 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://github.com/HiDiHo01/python-frank-energie/docs
10/10Repository description
10/10Topics — 5 topics
10/10Wiki
Inputs used
topicsautomation, homeassistant, homeassistant-integration, python, python3
has_wikiyes
homepage—
docs_sitehttps://github.com/HiDiHo01/python-frank-energie/docs
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

75Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 20 out of 20 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
3.8/7.5Code-Review — Found 7/14 approved changesets -- score normalized to 5
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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 5 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
5/5SAST — SAST tool is run on all commits
2/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
5.2/7.5Vulnerabilities — 3 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.9
Excluded from scoring (no data or not applicable): Branch-Protection, 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
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages18
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:python-frank-energie@2026.9.9.post2 runtime dependency closure — what installing the published package pulls in — 18 packages. 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.

45Weak · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
25.9/40Legible commit history — 33 of 68 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.485
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.black])
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 32 of the last 100 commits are automated dependency updates
6/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.32
How it's scored
0/45Type-checkable code — Python without a type-check config
51.1/55Manageable file sizes — 2/28 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes182,334
source_files_sampled28
oversized_source_files2

Key facts

10GitHub stars
7contributors
352commits, last 12 months
1days since last push
33releases
1bus factor
1open 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 ★ / 4 ⇿
0Stars
4Forks
14Releases

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.

1223344412026-032026-062026-08
Major 0Minor 0Patch 7
OpenSSF Scorecard 6.9 / 10
6.9aggregate

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 · 2026-09-11 05:23 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests20 out of 20 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 7/14 approved changesets -- score normalized to 5
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 5 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
10SASTSAST tool is run on all commits
4Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7Vulnerabilities3 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPIaiohttp>=3.13.5pyproject.toml
PyPIPyJWT>=2.10.1pyproject.toml
PyPIcryptography>=48.0.0pyproject.toml
PyPItyping-extensions>=4.10.0pyproject.toml
PyPIpydantic>=2.0.0pyproject.toml
PyPIidna>=3.7pyproject.toml
All dependencies 89

Full resolved dependency set from the GitHub dependency graph: 6 direct and 83 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiohttp3.14.3direct
PyPIcryptography50.0.1direct
PyPIidna3.19direct
PyPIpydantic2.13.5direct
PyPIpyjwt2.13.0direct
PyPItyping-extensions4.16.0direct
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.14.2indirect
PyPIaresponses3.0.0indirect
PyPIast-serialize0.6.0indirect
PyPIattrs26.1.0indirect
PyPIauthlib1.7.2indirect
PyPIbandit1.9.4indirect
PyPIblack26.5.1indirect
PyPIblacken-docs1.20.0indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.0indirect
PyPIcfgv3.5.0indirect
PyPIclick8.4.2indirect
PyPIcodespell2.4.3indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.15.2indirect
PyPIdefusedxml0.7.1indirect
PyPIdistlib0.4.3indirect
PyPIdparse0.6.4indirect
PyPIfilelock3.32.0indirect
PyPIfreezegun1.5.5indirect
PyPIfrozenlist1.8.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidentify2.6.19indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIjoblib1.5.3indirect
PyPIjoserfc1.7.4indirect
PyPIlibrt0.13.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImarshmallow4.3.0indirect
PyPImdurl0.1.2indirect
PyPImultidict6.7.1indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPInltk3.10.3indirect
PyPInodeenv1.10.0indirect
PyPIpackaging26.3indirect
PyPIpathspec1.1.1indirect
PyPIpip26.2indirect
PyPIplatformdirs4.11.0indirect
PyPIpluggy1.6.0indirect
PyPIpoetry2.4.1indirect
PyPIpre-commit4.6.2indirect
PyPIpre-commit-hooks6.0.0indirect
PyPIpropcache0.5.2indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.5indirect
PyPIpygments2.20.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.5.0indirect
PyPIpytokens0.4.1indirect
PyPIpyyaml6.0.3indirect
PyPIregex2026.7.19indirect
PyPIrequests2.34.2indirect
PyPIrich15.0.0indirect
PyPIruamel-yaml0.19.1indirect
PyPIruff0.16.6indirect
PyPIsafety3.8.1indirect
PyPIsafety-schemas0.0.16indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIstevedore5.9.0indirect
PyPIsyrupy6.0.0indirect
PyPItenacity9.1.4indirect
PyPItomlkit0.15.1indirect
PyPItqdm4.69.1indirect
PyPItruststore0.10.4indirect
PyPItyper0.25.1indirect
PyPItypes-python-dateutil2.9.0.20260807indirect
PyPItyping-inspection0.4.2indirect
PyPIvirtualenv21.7.0indirect
PyPIvulture2.16indirect
PyPIyarl1.24.5indirect
Dependency advisories 0

Installing pypi:python-frank-energie@2026.9.9.post2 pulls in 18 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

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 statistics — PyPI.