Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-14 22:54 UTC

urbanopt / geojson-modelica-translator

GeoJSON to Modelica Translator that is focused on district energy system design and analysis.

Python · ModelicaCustom license★ 28 stars⑂ 11 forkssince Jun 2019View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#modelica#geojson#urban-planning#urban-analytics#python#modelica-library#district-cooling#district-heating#microgrid

urbanopt/geojson-modelica-translator holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Community & Adoption (45/100). It was last updated 5 days ago. 2 contributors account for most of its recent work.

86
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.

86
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 72 is calibrated to 86 on the published index scale (record calibration 2026-08-02).

Ownership

URBANoptOrganization
34 followers30 public repossince Jan 2019

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIgeojson-modelica-translator0.15.02662861 days agourbanoptmodelicageojsonphysics-based-modeling

Metrics by category

Vitality

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

83Excellent · 21% of overall

Development activity

77Good
How it's scored
36/36Push recency — last push 5 days ago
14.5/36Commit cadence — 21/52 weeks with commits
16.6/18Commit volume — 70 commits in the last year
10/10OpenSSF Scorecard: Maintained — 14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year70
human_commit_share0.65
days_since_last_push5
active_weeks_last_year21

Release discipline

92Excellent
How it's scored
27/27Ships releases — 28 releases published
36/36Release recency — latest release 61 days ago
19.8/27Release cadence — a release every ~63.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count28
latest_release_tagv0.15.0
releases_from_tagsno
days_since_latest_release61
mean_days_between_releases63.8
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?

45Weak · 17% of overall

Popularity & adoption

35Weak
How it's scored
23.2/60Stars — 28 stars
8.3/25Forks — 11 forks
3.9/15Watchers — 6 watchers
Inputs used
forks11
stars28
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

59Moderate
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
7.2/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingno
has_issue_templateyes
has_code_of_conductno
readme_badge_servicesbadge.fury.io, github.com
has_pull_request_templateyes

Ecosystem adoption (downloads)

40Weak
How it's scored
32.4/80Monthly downloads — 266 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesgeojson-modelica-translator
dependents—
ecosystemspypi
total_downloads—
monthly_downloads266
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?

73Good · 23% of overall

Maintainer resilience (bus factor)

61Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.7/22.5Commit distribution — top contributor authored 44% of commits
13.5/13.5Contributor breadth — 10 contributors
10/10OpenSSF Scorecard: Contributors — project has 15 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled10
top_contributor_share0.436

Issue & PR responsiveness

76Good
How it's scored
40/42Issue resolution — 95% of issues closed
24.6/30PR acceptance — 468/571 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 4/24 approved changesets -- score normalized to 1
Inputs used
merged_prs468
open_issues15
closed_issues301
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.953
closed_unmerged_prs103
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

64Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
11.1/25Owner reach — 34 followers of urbanopt
22.9/25Track record — 30 public repos, account ~7 yr old
Inputs used
followers34
owner_typeOrganization
is_verifiedno
owner_loginurbanopt
public_repos30
account_age_days2,791

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 61 days ago
20/20Version history — 28 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgeojson-modelica-translator
ecosystemspypi
any_deprecatedno
min_days_since_publish61

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — ruff.toml
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://www.nlr.gov/buildings/urbanopt.html
10/10Repository description
10/10Topics — 9 topics
10/10Wiki
Inputs used
topicsmodelica, geojson, urban-planning, urban-analytics, python, modelica-library, district-cooling, district-heating, microgrid
has_wikiyes
homepagehttps://www.nlr.gov/buildings/urbanopt.html
docs_sitehttps://www.nlr.gov/buildings/urbanopt.html
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

56Moderate · 16% of overall

Security posture

51Moderate
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
0.8/7.5Code-Review — Found 4/24 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 15 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
2.2/2.5License — license file detected
7.5/7.5Maintained — 14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
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
0/7.5Vulnerabilities — 22 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.1
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

Dependency advisories

74Good
How it's scored
14.8/35Direct dependencies free of known advisories — 1 affected: click 8.1.8 (high 7.2)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
33.9/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 137 days ago
Inputs used
sourceosv
advisories1
affected_packages1
assessed_packages48
unassessed_packages0
affected_by_severityhigh 1
direct_affected_packages1
Matched the pypi:geojson-modelica-translator@0.15.0 runtime dependency closure — what installing the published package pulls in — 48 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.

75Good · 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 — 63 of 65 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.969
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

90Excellent
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — ruff.toml
11/11Static type checking — mypy.ini
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 10 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 35 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
lockfilespoetry.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configsmypy.ini
agent_commit_share0.1
toolchain_manifests—
dependency_bot_commit_share0.35

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (mypy.ini)
55/55Manageable file sizes — 0/140 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes52,077
source_files_sampled140
oversized_source_files0

Machine-readable interfaces

100Exceptional
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

28GitHub stars
10contributors
70commits, last 12 months
5days since last push
28releases
2bus factor
15open 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 ★ / 11 ⇿
0Stars
11Forks
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.

0246810121112019-072021-122024-06
Major 0Minor 7Patch 4

Each point covers 5 days.

OpenSSF Scorecard 5.1 / 10
5.1aggregate

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 · 2026-09-14 22:54 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
1Code-ReviewFound 4/24 approved changesets -- score normalized to 1
10Contributorsproject has 15 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow 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
0Vulnerabilities22 existing vulnerabilities detected
Direct dependencies 10
RegistryPackageVersion constraintManifest
PyPIBuildingsPy^5.1pyproject.toml
PyPIclick<8.2pyproject.toml
PyPIgeojson^3.1pyproject.toml
PyPIjinja2^3.1pyproject.toml
PyPIjsonpath-ng^1.6pyproject.toml
PyPIjsonschema^4.20pyproject.toml
PyPImodelica-builder^0.8.0pyproject.toml
PyPIpandas^2.0pyproject.toml
PyPIrequests^2.28pyproject.toml
PyPIteaser1.3.1pyproject.toml
All dependencies 94

Full resolved dependency set from the GitHub dependency graph: 10 direct and 84 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbuildingspy5.2.0direct
PyPIclick8.1.8direct
PyPIgeojson3.3.0direct
PyPIjinja23.1.6direct
PyPIjsonpath-ng1.8.0direct
PyPIjsonschema4.26.0direct
PyPImodelica-builder0.8.0direct
PyPIpandas2.3.3direct
PyPIrequests2.34.2direct
PyPIteaser1.3.1direct
PyPIantlr4-python3-runtime4.13.2indirect
PyPIast-serialize0.6.0indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbackrefs7.0indirect
PyPIcerberus1.3.8indirect
PyPIcertifi2026.6.17indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIcolorama0.4.6indirect
PyPIcontourpy1.3.2indirect
PyPIcoverage7.15.1indirect
PyPIcycler0.12.1indirect
PyPIdistlib0.4.3indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIfilelock3.29.7indirect
PyPIfonttools4.63.0indirect
PyPIghp-import2.1.0indirect
PyPIgitdb4.0.12indirect
PyPIgitpython3.1.51indirect
PyPIgriffelib2.1.0indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjsonschema2md1.7.0indirect
PyPIkiwisolver1.5.0indirect
PyPIlibrt0.13.0indirect
PyPImako1.3.12indirect
PyPImarkdown3.10.2indirect
PyPImarkdown-include—indirect
PyPImarkdown-include0.8.1indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib3.10.9indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-material—indirect
PyPImkdocs-material9.7.6indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocs-schema-reader—indirect
PyPImkdocs-schema-reader0.11.1indirect
PyPImkdocstrings1.0.6indirect
PyPImkdocstrings-python—indirect
PyPImkdocstrings-python2.0.5indirect
PyPImypy2.3.0indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.10.0indirect
PyPInumpy2.2.6indirect
PyPIpackaging26.2indirect
PyPIpaginate0.5.7indirect
PyPIpathspec1.1.1indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.0indirect
PyPIpyfunnel2.0.1indirect
PyPIpygments2.20.0indirect
PyPIpymdown-extensions11.0.1indirect
PyPIpyparsing3.3.2indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.4.4indirect
PyPIpytidylib0.3.2indirect
PyPIpytz2026.2indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIreferencing0.37.0indirect
PyPIrpds-py0.30.0indirect
PyPIscipy1.15.3indirect
PyPIsimplejson4.1.1indirect
PyPIsix1.17.0indirect
PyPIsmmap5.0.3indirect
PyPIsyrupy5.5.3indirect
PyPItomli2.4.1indirect
PyPItyping-extensions4.16.0indirect
PyPItzdata2026.3indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.6.1indirect
PyPIwatchdog6.0.0indirect
Dependency advisories 1

Installing pypi:geojson-modelica-translator@0.15.0 pulls in 48 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
click8.1.8directhigh18.3.3

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

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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.