Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-11 08:39 UTC

bo4e / BO4E-python

Python Library that Implements the BO4E Standard

PythonMIT★ 19 stars⑂ 5 forkssince May 2020View on GitHub ↗
KindLibraryhow this is determined
#bo4e#energiewirtschaft#pydantic-models

bo4e/BO4E-python holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Community & Adoption (44/100). It was last updated 1 day ago. 2 contributors account for most of its recent work.

88
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.

88
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

Interessengemeinschaft Geschäftsobjekte Energiewirtschaft e. V.Organization
9 followers10 public repossince Apr 2020

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIbo4e202607.1.04,7728359 days agobdewbo4e

Metrics by category

Vitality

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

86Excellent · 21% of overall

Development activity

82Excellent
How it's scored
36/36Push recency — last push 1 days ago
18.7/36Commit cadence — 27/52 weeks with commits
17.8/18Commit volume — 95 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year95
human_commit_share0.35
days_since_last_push1
active_weeks_last_year27

Release discipline

92Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 59 days ago
19.8/27Release cadence — a release every ~50.3 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv202607.1.0
releases_from_tagsno
days_since_latest_release59
mean_days_between_releases50.3
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?

44Weak · 17% of overall

Popularity & adoption

27At Risk
How it's scored
20.4/60Stars — 19 stars
5/25Forks — 5 forks
1.7/15Watchers — 3 watchers
Inputs used
forks5
stars19
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
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

Ecosystem adoption (downloads)

61Moderate
How it's scored
49.1/80Monthly downloads — 4,772 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesbo4e
dependents—
ecosystemspypi
total_downloads—
monthly_downloads4,772
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?

69Good · 23% of overall

Maintainer resilience (bus factor)

56Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
11.6/22.5Commit distribution — top contributor authored 48% of commits
13.5/13.5Contributor breadth — 15 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor2
contributors_sampled15
top_contributor_share0.483

Issue & PR responsiveness

70Good
How it's scored
35.2/42Issue resolution — 84% of issues closed
25.7/30PR acceptance — 668/781 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/2 approved changesets -- score normalized to 0
Inputs used
merged_prs668
open_issues58
closed_issues302
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.839
closed_unmerged_prs113
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.

Ownership & stewardship

57Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
7.2/25Owner reach — 9 followers of bo4e
19.6/25Track record — 10 public repos, account ~6 yr old
Inputs used
followers9
owner_typeOrganization
is_verifiedno
owner_loginbo4e
public_repos10
account_age_days2,326

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 59 days ago
20/20Version history — 83 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesbo4e
ecosystemspypi
any_deprecatedno
min_days_since_publish59

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 10 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 — 30 out of 30 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://bo4e-python.readthedocs.io/en/latest/
10/10Repository description
10/10Topics — 3 topics
10/10Wiki
Inputs used
topicsbo4e, energiewirtschaft, pydantic-models
has_wikiyes
homepage—
docs_sitehttps://bo4e-python.readthedocs.io/en/latest/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

70Good · 16% of overall

Security posture

63Moderate
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 — 30 out of 30 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 0/2 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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 25 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
2/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
5/5SAST — SAST tool is run on all commits
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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate6.3
Excluded from scoring (no data or not applicable): Branch-Protection, 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
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_packages7
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:bo4e@202607.1.0 runtime dependency closure — what installing the published package pulls in — 7 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.

73Good · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 35 of 35 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

94Exceptional
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/bo4e/py.typed
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 8 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 65 of the last 100 commits are automated dependency updates
4/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/bo4e/py.typed
agent_commit_share0.08
toolchain_manifests—
dependency_bot_commit_share0.65

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/bo4e/py.typed)
55/55Manageable file sizes — 0/285 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes19,845
source_files_sampled285
oversized_source_files0

Key facts

19GitHub stars
15contributors
95commits, last 12 months
1days since last push
100releases
2bus factor
58open 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 ★ / 5 ⇿
0Stars
5Forks
88Releases

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.

12345512021-072023-052025-04
Major 1Minor 9Patch 34

Each point covers 4 days.

OpenSSF Scorecard 6.3 / 10
6.3aggregate

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 · 2026-09-11 08:38 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-Tests30 out of 30 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 0/2 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
4Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIiso3166—pyproject.toml
PyPIpydantic>=2.0.0pyproject.toml
PyPIpyhumps—pyproject.toml
All dependencies 115

Full resolved dependency set from the GitHub dependency graph: 3 direct and 112 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIiso31663.0.0direct
PyPIpydantic2.13.5direct
PyPIpyhumps3.8.0direct
PyPIalabaster0.7.16indirect
PyPIalabaster1.0.0indirect
PyPIannotated-types0.7.0indirect
PyPIast-serialize0.6.0indirect
PyPIastroid3.3.10indirect
PyPIbabel2.17.0indirect
PyPIbabel2.18.0indirect
PyPIblack25.1.0indirect
PyPIbuild1.3.0indirect
PyPIcertifi2025.7.9indirect
PyPIcertifi2026.5.20indirect
PyPIcffi1.17.1indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.2indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.4.0indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.11.0indirect
PyPIcoverage7.16.0indirect
PyPIcryptography45.0.5indirect
PyPIdictdiffer0.10.0indirect
PyPIdictdiffer0.9.0indirect
PyPIdill0.4.0indirect
PyPIdistlib0.4.1indirect
PyPIdocutils0.21.2indirect
PyPIdocutils0.22.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIfilelock3.20.3indirect
PyPIid1.5.0indirect
PyPIidentify2.6.19indirect
PyPIidna3.10indirect
PyPIidna3.15indirect
PyPIimagesize1.4.1indirect
PyPIimagesize2.0.0indirect
PyPIiniconfig2.1.0indirect
PyPIiniconfig2.3.0indirect
PyPIisort6.0.1indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.0.1indirect
PyPIjaraco-functools4.2.1indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIkeyring25.6.0indirect
PyPIlibrt0.13.0indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkupsafe3.0.2indirect
PyPImarkupsafe3.0.3indirect
PyPImccabe0.7.0indirect
PyPImdurl0.1.2indirect
PyPImore-itertools10.7.0indirect
PyPImypy1.18.2indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPInetworkx3.4.2indirect
PyPInetworkx3.5indirect
PyPInetworkx3.6.1indirect
PyPInetworkx-stubs0.0.1indirect
PyPInh30.2.21indirect
PyPInodeenv1.10.0indirect
PyPIpackaging25.0indirect
PyPIpackaging26.2indirect
PyPIpathspec0.12.1indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.10.0indirect
PyPIplatformdirs4.3.8indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.2indirect
PyPIpycparser2.22indirect
PyPIpydantic-core2.46.5indirect
PyPIpygments2.19.2indirect
PyPIpygments2.20.0indirect
PyPIpylint3.3.9indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest8.4.2indirect
PyPIpytest9.1.1indirect
PyPIpytest-datafiles3.0.0indirect
PyPIpytest-datafiles3.0.1indirect
PyPIpyyaml6.0.3indirect
PyPIreadme-renderer44.0indirect
PyPIrequests2.32.4indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich14.0.0indirect
PyPIroman-numerals4.1.0indirect
PyPIruff0.16.6indirect
PyPIsecretstorage3.3.3indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsphinx8.1.3indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-rtd-theme3.1.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItomli2.4.1indirect
PyPItomlkit0.13.3indirect
PyPItwine6.1.0indirect
PyPItypes-requests2.32.4.20250913indirect
PyPItypes-requests2.33.0.20260906indirect
PyPItyping-extensions4.14.1indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.5.0indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv20.36.1indirect
Dependency advisories 0

Installing pypi:bo4e@202607.1.0 pulls in 7 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.

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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.