Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-08 09:34 UTC

eclipse-sumo / sumo

Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

Python · C++EPL-2.0★ 4,202 stars⑂ 1,761 forkssince Oct 2017View on GitHub ↗
KindDesktop applicationhow this is determined

eclipse-sumo/sumo holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Community & Adoption (94/100) and lowest on AI Readiness (54/100). It was last updated today. 2 contributors account 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

Eclipse SUMOOrganization
101 followers4 public repossince Sep 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?

60Moderate · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recency — last push 0 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 4,780 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year4,780
human_commit_share1
days_since_last_push0
active_weeks_last_year52
How it's scored
0/27Ships releases — no releases published
0/36Release recency — no releases
0/27Release cadence — no releases
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count0
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?

94Exceptional · 17% of overall
How it's scored
58.8/60Stars — 4,202 stars
25/25Forks — 1,761 forks
10.1/15Watchers — 67 watchers
Inputs used
forks1,761
stars4,202
watchers67
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

93Exceptional
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (EPL-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
7.2/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateyes
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io, sonarcloud.io
has_pull_request_templateno

Sustainability & Governance

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

62Moderate · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.5/22.5Commit distribution — top contributor authored 45% of commits
13.5/13.5Contributor breadth — 98 contributors
10/10OpenSSF Scorecard: Contributors — project has 20 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled98
top_contributor_share0.446
How it's scored
34.9/42Issue resolution — 83% of issues closed
21.5/30PR acceptance — 567/790 decided PRs merged
13/13Newcomer PR acceptance — 2/2 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs567
open_issues2,955
closed_issues14,580
prs_merged_7d0
prs_decided_7d0
prs_merged_30d2
prs_decided_30d2
issue_closed_ratio0.831
closed_unmerged_prs223
first_time_authors_30d1
first_time_prs_merged_30d2
first_time_prs_decided_30d2
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
14.4/25Owner reach — 101 followers of eclipse-sumo
11.2/25Track record — 4 public repos, account ~3 yr old
Inputs used
followers101
owner_typeOrganization
is_verifiedno
owner_logineclipse-sumo
public_repos4
account_age_days1,121

Engineering Quality

Are baseline engineering and documentation practices in place?

91Excellent · 19% of overall
How it's scored
24/24CI workflows — 19 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://eclipse.dev/sumo
10/10Repository description
10/10Topics — 3 topics
0/10Wiki
Inputs used
topicstraffic, simulation, transport
has_wikino
homepagehttps://eclipse.dev/sumo
docs_sitehttps://eclipse.dev/sumo
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
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 — no data
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 20 contributing companies or organizations
0/10Dangerous-Workflow — no data
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 1 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — no SAST tool detected
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — no data
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated12
scorecard_versionv5.5.0
checks_inconclusive6
scorecard_aggregate6.2
Excluded from scoring (no data or not applicable): Branch-Protection, CI-Tests, Dangerous-Workflow, Packaging, Signed-Releases, Token-Permissions. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories5
affected_packages2
assessed_packages31
unassessed_packages37
affected_by_severityhigh 1, unknown 1
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 31 resolved dependencies against OSV. 37 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

54Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 88 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.88
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
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
53.9/55Manageable file sizes — 82/3,935 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes1,090,974
source_files_sampled3,935
oversized_source_files82
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

4,202GitHub stars
98contributors
4,780commits, last 12 months
0days since last push
0releases
2bus factor
2,955open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • File tree truncated by GitHub API; file-based signals may be incomplete

More detail

Star and fork history 0 ★ / 1,761 ⇿
0Stars
1,761Forks

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

6008001,0001,2001,4001,6001,8001,761222021-122024-052026-10

Each point covers 5 days.

OpenSSF Scorecard 6.2 / 10
6.2aggregate

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 · 2026-10-08 09:32 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
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
10Contributorsproject has 20 contributing companies or organizations
n/aDangerous-Workflowno workflows found
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
n/aToken-PermissionsNo tokens found
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 68

Full resolved dependency set from the GitHub dependency graph: 0 direct and 68 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
Mavencom.sun.jersey:jersey-client1.18.1indirect
Mavencommons-io:commons-io2.14.0indirect
Mavende.tudresden:traas1.1indirect
Mavenjavax.xml.ws:jaxws-api2.3.1indirect
Mavenjunit:junit4.13.1indirect
Mavenorg.apache.httpcomponents:httpclient4.5.13indirect
Mavenorg.apache.logging.log4j:log4j-core2.25.4indirect
Mavenorg.apache.maven.plugins:maven-compiler-plugin3.8.1indirect
Mavenorg.apache.maven:maven-artifact3.0.3indirect
Mavenorg.codehaus.mojo:exec-maven-plugin3.0.0indirect
Mavenorg.hamcrest:hamcrest-core1.3indirect
Mavenorg.openjfx:javafx-archetype-simple0.0.3indirect
Mavenorg.openjfx:javafx-controls22.0.1indirect
Mavenorg.openjfx:javafx-maven-plugin0.0.5indirect
PyPIbibtexparser—indirect
PyPIcmake—indirect
PyPIezdxf—indirect
PyPIezdxf0.14.2indirect
PyPIfmpy—indirect
PyPIfmpy0.3.13indirect
PyPIlxml—indirect
PyPIlxml4.8.0indirect
PyPImarkdown—indirect
PyPImatplotlib—indirect
PyPImatplotlib3.5.1indirect
PyPImdx-gh-links—indirect
PyPImdx-truly-sane-lists—indirect
PyPImkdocs—indirect
PyPImkdocs-git-revision-date-plugin—indirect
PyPImkdocs-macros-plugin—indirect
PyPImkdocs-publisher—indirect
PyPImkdocs-redirects—indirect
PyPImkdocs-unused-files—indirect
PyPInetworkx—indirect
PyPIopenpyxl—indirect
PyPIortools—indirect
PyPIortools9.5.2237indirect
PyPIpandas—indirect
PyPIpandas1.3.5indirect
PyPIpandas-read-xml—indirect
PyPIpdoc—indirect
PyPIpillow—indirect
PyPIplantuml0.3.0indirect
PyPIplantuml-markdown—indirect
PyPIpolib—indirect
PyPIpolib1.1.1indirect
PyPIpsutil—indirect
PyPIpulp—indirect
PyPIpulp2.5.1indirect
PyPIpyarrow—indirect
PyPIpyautogui0.9.53indirect
PyPIpymdown-extensions—indirect
PyPIpyopengl3.1.0indirect
PyPIpyperclip1.8.2indirect
PyPIpyproj—indirect
PyPIpyproj3.3.0indirect
PyPIpyshp—indirect
PyPIrequests—indirect
PyPIrtree—indirect
PyPIrtree0.9.7indirect
PyPIscikit-build—indirect
PyPIscipy—indirect
PyPIscipy1.8.0indirect
PyPIsetuptools—indirect
PyPIshapely—indirect
PyPItexttest4.3.0indirect
PyPItqdm—indirect
PyPIwxpython4.2.1indirect
Dependency advisories 2

This repository publishes no package the index resolves, so its own dependency graph was assessed — 31 packages, which also include development and test pins that never ship: 2 carry known advisories, of which 0 are direct. 37 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
lxml4.8.0indirecthigh46.1.0
scipy1.8.0indirectunknown11.10.0

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.