Public record
Software health reportschema 0.26.0 · metrics 1.13.0 · 2026-07-22 03:39 UTC

WaterFutures / EPyT-Flow

A Python package designed for the easy generation of hydraulic and water quality scenario data of water distribution networks.

PythonMIT★ 42 stars⑂ 11 forkssince Jan 2024View on GitHub ↗

WaterFutures/EPyT-Flow holds a health index of 64 out of 100, placing it in the Moderate band. It scores highest on Vitality (89/100) and lowest on AI Readiness (31/100). It was last updated 4 days ago. A single contributor accounts for most of its recent work.

64
overall / 100
Moderate

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.

64
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe 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.

Ownership

25 followers14 public repossince Nov 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIepyt-flow0.17.2827294 days agoepanetwaternetworkshydraulicsqualitysimulations

Metrics by category

Vitality

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

89Excellent · 22% of overall
How it's scored
36/36Push recency — last push 4 days ago
22.2/36Commit cadence — 32/52 weeks with commits
18/18Commit volume — 127 commits in the last year
5/10OpenSSF Scorecard: Maintained — 7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
Inputs used
commits_last_year127
human_commit_share1
days_since_last_push4
active_weeks_last_year32

Release discipline

100Excellent
How it's scored
27/27Ships releases — 29 releases published
36/36Release recency — latest release 4 days ago
27/27Release cadence — a release every ~42 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count29
latest_release_tagv0.17.2
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases42
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?

53Moderate · 18% of overall
How it's scored
26.2/60Stars — 42 stars
8.3/25Forks — 11 forks
3.9/15Watchers — 6 watchers
Inputs used
forks11
stars42
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonbelow_threshold
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingno
has_issue_templateno
has_code_of_conductyes
has_pull_request_templateyes
How it's scored
38.9/80Monthly downloads — 827 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesepyt-flow
dependents
ecosystemspypi
total_downloads
monthly_downloads827
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?

64Moderate · 24% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
3/22.5Commit distribution — top contributor authored 87% of commits
9.5/13.5Contributor breadth — 7 contributors
10/10OpenSSF Scorecard: Contributors — project has 10 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled7
top_contributor_share0.867
How it's scored
46.8/46.8Issue resolution — 100% of issues closed
38.2/38.3PR acceptance — 7/7 decided PRs merged
0/15OpenSSF Scorecard: Code-Review — Found 1/29 approved changesets -- score normalized to 0
Inputs used
merged_prs7
open_issues0
closed_issues24
issue_closed_ratio1
closed_unmerged_prs0
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
10.2/25Owner reach — 25 followers of WaterFutures
14/25Track record — 14 public repos, account ~2 yr old
Inputs used
followers25
owner_typeOrganization
is_verified
owner_loginWaterFutures
public_repos14
account_age_days993
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 4 days ago
20/20Version history — 29 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesepyt-flow
ecosystemspypi
any_deprecatedno
min_days_since_publish4

Engineering Quality

Are baseline engineering and documentation practices in place?

65Moderate · 20% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 1 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://epyt-flow.readthedocs.io/en/stable
10/10Repository description
10/10Topics — 7 topics
0/10Wiki
Inputs used
topicsepanet, epanet-python-toolkit, python, simulation, water, water-distribution-networks, hydraulics
has_wikino
homepagehttps://epyt-flow.readthedocs.io/en/stable
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

40At risk · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
0/2.5CI-Tests — 0 out of 1 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/29 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 10 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
3.8/7.5Maintained — 7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
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_aggregate4
Excluded from scoring (no data or not applicable): branch_protection, packaging, signed_releases. Remaining weights renormalized.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.

31At risk · 0% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
2.1/40Legible commit history — 4 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share0.04
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrap — Makefile, noxfile.py
22/22Automated tests
0/11Lint / format config
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, noxfile.py
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
52.6/55Manageable file sizes — 4/93 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes507,058
source_files_sampled93
oversized_source_files4
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalno
api_schema_files

Key facts

42GitHub stars
7contributors
127commits, last 12 months
4days since last push
29releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • deps.dev does not index pypi:epyt-flow@0.17.2; advisories assessed against the repository dependency graph instead
  • No resolved dependencies carried a version and a supported ecosystem

More detail

Star and fork history 42 ★ / 11 ⇿
42Stars
11Forks
28Releases

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.

01020304050421122024-052025-062026-07
Major 0Minor 17Patch 10

Each point covers 2 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 · 2026-07-22 03:38 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during GetBranch(main): error during branchesHandler.query: 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 1 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/29 approved changesets -- score normalized to 0
10Contributorsproject has 10 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
5Maintained7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
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
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 24

Full resolved dependency set from the GitHub dependency graph: 0 direct and 24 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbuildindirect
PyPIdeprecatedindirect
PyPIepanet-plusindirect
PyPIepyt-flowindirect
PyPIfalconindirect
PyPIflake8indirect
PyPIgeopandasindirect
PyPIipykernelindirect
PyPImultiprocessindirect
PyPInbsphinxindirect
PyPInetworkxindirect
PyPIopenpyxlindirect
PyPIpsutilindirect
PyPIpygountindirect
PyPIpytestindirect
PyPIpytest-covindirect
PyPIrequestsindirect
PyPIscikit-learnindirect
PyPIscipyindirect
PyPIsphinxindirect
PyPIsphinx-rtd-themeindirect
PyPIsvgpath2mplindirect
PyPItqdmindirect
PyPIu-msgpack-pythonindirect
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies carried a version and a supported ecosystem

Raw JSON report machine-readable
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          "login": "SteliosVr",
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          "avatar_url": "https://avatars.githubusercontent.com/u/9461618?v=4"
        },
        {
          "type": "User",
          "login": "Xiaohan-Chen",
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          "avatar_url": "https://avatars.githubusercontent.com/u/46585538?v=4"
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      "has_linter_config": false,
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#binary-artifacts"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#branch-protection"
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            "reason": "no dangerous workflow patterns detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#license"
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                "key": "watchers",
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                "details": [
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          {
            "key": "community_health",
            "band": "good",
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            "note": null,
            "notes": [],
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            "inputs": {
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              "has_contributing": false,
              "has_issue_template": false,
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              "has_pull_request_template": true
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            "components": [
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                "key": "readme",
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                "key": "license",
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                "points": 22.5,
                "status": "met",
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                "status": "missed",
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                "key": "code_of_conduct",
                "name": "Code of conduct",
                "detail": null,
                "points": 13.5,
                "status": "met",
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                "key": "issue_template",
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                "points": 0,
                "status": "missed",
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                "key": "pr_template",
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                "points": 6.3,
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          },
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            "key": "ecosystem_adoption",
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            "note": "Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.",
            "notes": [
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                "code": "excluded_no_data",
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              {
                "code": "weights_renormalized",
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            "value": 49,
            "inputs": {
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              "dependents": null,
              "ecosystems": "pypi",
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              "monthly_downloads": 827
            },
            "components": [
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                "key": "monthly_downloads",
                "name": "Monthly downloads",
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                "points": 38.9,
                "status": "partial",
                "details": [
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                    "code": "downloads_monthly",
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                  }
                ],
                "max_points": 80
              },
              {
                "key": "registry_dependents",
                "name": "Registry dependents",
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                "status": "excluded",
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        "key": "governance",
        "band": "moderate",
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        "weight": 0.24,
        "metrics": [
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            "notes": [],
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              {
                "key": "commit_distribution",
                "name": "Commit distribution",
                "detail": "top contributor authored 87% of commits",
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                    "code": "top_contributor_share",
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                "max_points": 22.5
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                "key": "contributor_breadth",
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              {
                "key": "openssf_scorecard_contributors",
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            ]
          },
          {
            "key": "responsiveness",
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            "notes": [],
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                "key": "issue_resolution",
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                "max_points": 46.75
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                "key": "pr_acceptance",
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                "key": "openssf_scorecard_code_review",
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                "key": "ownership_backing",
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                "key": "verified_domain",
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              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "25 followers of WaterFutures",
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                    "code": "owner_followers",
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                ],
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              {
                "key": "track_record",
                "name": "Track record",
                "detail": "14 public repos, account ~2 yr old",
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                "details": [
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                    "code": "public_repos",
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                    "code": "account_age_years",
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                "max_points": 25
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          {
            "key": "package_maintenance",
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              "ecosystems": "pypi",
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                "key": "published_resolvable",
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                "max_points": 25
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                "key": "publish_recency",
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                "detail": "latest publish 4 days ago",
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                "key": "version_history",
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                      "count": 29
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                "max_points": 20
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              {
                "key": "not_deprecated",
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        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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              {
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              },
              {
                "key": "openssf_scorecard_ci_tests",
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            ]
          },
          {
            "key": "documentation",
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                "key": "readme",
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                "key": "documentation_directory",
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                "key": "topics",
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                "key": "wiki",
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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        "key": "security",
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        "name": "Security",
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        "metrics": [
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                "code": "excluded_no_data",
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                  "components": [
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                }
              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 40,
            "inputs": {
              "source": "openssf_scorecard",
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              "scorecard_version": "v5.5.0",
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              "scorecard_aggregate": 4
            },
            "components": [
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                "key": "binary_artifacts",
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                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
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              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "internal error: error during GetBranch(main): error during branchesHandler.query: 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",
                "points": 0,
                "status": "excluded",
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                "max_points": 7.5
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                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "0 out of 1 merged PRs checked by a CI test -- score normalized to 0",
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                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
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              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 1/29 approved changesets -- score normalized to 0",
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              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 10 contributing companies or organizations",
                "points": 2.5,
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                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "no update tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
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                "max_points": 5
              },
              {
                "key": "license",
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                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
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              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5",
                "points": 3.8,
                "status": "partial",
                "details": [],
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                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
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                ],
                "max_points": 5
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                "key": "pinned_dependencies",
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                "detail": "dependency not pinned by hash detected -- score normalized to 0",
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                "status": "missed",
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                "max_points": 5
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              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
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                "status": "missed",
                "details": [],
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              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
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              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
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                ],
                "max_points": 7.5
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              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
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              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
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          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
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                "code": "jurisdiction_evidence_limits",
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            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
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              "policy_countries": [
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              "review_only_matches": 0,
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            "components": [
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                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
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        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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      {
        "key": "ai_readiness",
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        "name": "AI Readiness",
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        "weight": 0,
        "metrics": [
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                "key": "agent_instructions",
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                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
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                "key": "machine_readable_docs_llms_txt",
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            "key": "ai_interfaces",
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              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples, notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples, notebooks"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "deps.dev does not index pypi:epyt-flow@0.17.2; advisories assessed against the repository dependency graph instead",
    "No resolved dependencies carried a version and a supported ecosystem"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-22T03:39:04.451385Z",
  "schema_version": "0.26.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/w/WaterFutures/EPyT-Flow.svg",
  "full_name": "WaterFutures/EPyT-Flow",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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 v1.13.0, schema v0.26.0 — full methodology · metrics wiki.

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