Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-14 11:09 UTC

hitachienergy / epiphany

Cloud and on-premises automation for Kubernetes centered industrial grade solutions.

Python · JinjaApache-2.0★ 142 stars⑂ 105 forkssince Jan 2019archivedView on GitHub ↗
KindCommand-line toolhow this is determined

hitachienergy/epiphany holds a health index of 19 out of 100, placing it in the Critical band. It scores highest on Sustainability & Governance (79/100) and lowest on Vitality (25/100). The repository is archived, so no further maintenance is expected.

19
overall / 100
Critical

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.

19
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 52 is calibrated to 53 on the published index scale (record calibration 2026-08-02).

Ownership

Hitachi EnergyOrganization
10 followers28 public repossince May 2023

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?

25At Risk · 21% of overall
How it's scored
0/36Push recencylast push 459 days ago
0/36Commit cadence0/52 weeks with commits
0/18Commit volume0 commits in the last year
0/10OpenSSF Scorecard: Maintainedproject is archived
Inputs used
commits_last_year0
human_commit_share1
days_since_last_push459
active_weeks_last_year0
How it's scored
27/27Ships releases77 releases published
7.2/36Release recencylatest release 464 days ago
19.8/27Release cadencea release every ~53.4 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count77
latest_release_tagv2.0.20
releases_from_tagsno
days_since_latest_release464
mean_days_between_releases53.4
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?

51Moderate · 17% of overall
How it's scored
34.9/60Stars142 stars
16.8/25Forks105 forks
0/15Watchers2 watchers
Inputs used
forks105
stars142
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized 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_badges8
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io, sonarcloud.io
has_pull_request_templateno

Sustainability & Governance

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

79Good · 23% of overall
How it's scored
36/54Bus factor3 contributor(s) cover half of all commits
15.9/22.5Commit distributiontop contributor authored 29% of commits
13.5/13.5Contributor breadth26 contributors
10/10OpenSSF Scorecard: Contributorsproject has 5 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled26
top_contributor_share0.293
How it's scored
42/42Issue resolution100% of issues closed
27.1/30PR acceptance1,655/1,833 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
13.5/15OpenSSF Scorecard: Code-ReviewFound 29/30 approved changesets -- score normalized to 9
Inputs used
merged_prs1,655
open_issues0
closed_issues1,630
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio1
closed_unmerged_prs178
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
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
7.5/25Owner reach10 followers of hitachienergy
17.2/25Track record28 public repos, account ~3 yr old
Inputs used
followers10
owner_typeOrganization
is_verified
owner_loginhitachienergy
public_repos28
account_age_days1,193
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

58Moderate · 19% of overall
How it's scored
0/24CI workflows
24/24Tests present
16/16Linter config.pylintrc, .rubocop.yml
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests0 out of 30 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_cino
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configno
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics11 topics
0/10Wiki
Inputs used
topicskubernetes, docker, kafka, rabbitmq, elasticsearch, prometheus, infrastructure-as-code, ansible, terraform, keycloak, grafana
has_wikino
homepage
docs_site
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

40Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
0/2.5CI-Tests0 out of 30 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6.8/7.5Code-ReviewFound 29/30 approved changesets -- score normalized to 9
2.5/2.5Contributorsproject has 5 contributing companies or organizations
0/10Dangerous-Workflowno data
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
0/7.5Maintainedproject is archived
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsno data
0/7.5Vulnerabilities37 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated13
scorecard_versionv5.5.0
checks_inconclusive5
scorecard_aggregate4
Excluded from scoring (no data or not applicable): Branch-Protection, Dangerous-Workflow, Packaging, Signed-Releases, Token-Permissions. 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.

53Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history96 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.96
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdocs/design-docs/modularization/cpt-tests/modules/AzureInfrastructure/Makefile, docs/design-docs/modularization/cpt-tests/modules/AzureInfrastructure/workdir/Makefile, docs/design-docs/modularization/cpt-tests/modules/BareMetalKafka/Makefile, docs/design-docs/modularization/cpt-tests/modules/BareMetalKafka/workdir/Makefile, docs/design-docs/modularization/cpt-tests/runs/infrastructure-and-kafka/Makefile
22/22Automated tests
11/11Lint / format config.pylintrc, .rubocop.yml
0/11Static type checking
10/10Reproducible environmentdevcontainer, Dockerfile, lockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/design-docs/modularization/cpt-tests/modules/AzureInfrastructure/Makefile, docs/design-docs/modularization/cpt-tests/modules/AzureInfrastructure/workdir/Makefile, docs/design-docs/modularization/cpt-tests/modules/BareMetalKafka/Makefile, docs/design-docs/modularization/cpt-tests/modules/BareMetalKafka/workdir/Makefile, docs/design-docs/modularization/cpt-tests/runs/infrastructure-and-kafka/Makefile
has_devcontaineryes
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
54.7/55Manageable file sizes1/174 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes528,733
source_files_sampled174
oversized_source_files1

Key facts

142GitHub stars
26contributors
0commits, last 12 months
459days since last push
77releases
3bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'epiphany-devcon' from its registry

More detail

Star and fork history 0 ★ / 105 ⇿
0Stars
105Forks
77Releases

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.

04080120105252019-012022-062025-11
Major 2Minor 11Patch 60

Each point covers 7 days.

OpenSSF Scorecard 4.0 / 10
4.0aggregate

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 · 2026-08-14 11:08 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
0CI-Tests0 out of 30 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 29/30 approved changesets -- score normalized to 9
10Contributorsproject has 5 contributing companies or organizations
n/aDangerous-Workflowno workflows found
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject is archived
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
n/aToken-PermissionsNo tokens found
0Vulnerabilities37 existing vulnerabilities detected
Direct dependencies 9
RegistryPackageVersion constraintManifest
PyPIpyyaml*.devcontainer/pyproject.toml
PyPIjinja2*.devcontainer/pyproject.toml
PyPIboto3*.devcontainer/pyproject.toml
PyPIjsonschema*.devcontainer/pyproject.toml
PyPIpython-json-logger*.devcontainer/pyproject.toml
PyPIruamel.yaml*.devcontainer/pyproject.toml
PyPIclick*.devcontainer/pyproject.toml
PyPIansible~9.devcontainer/pyproject.toml
PyPIazure-cli2.63.0.devcontainer/pyproject.toml
All dependencies 0

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

RegistryPackageVersionRelation
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies to assess

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 v0.31.0 — full methodology · metrics wiki.

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