Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-26 02:30 UTC

gboeing / osmnx-examples

Gallery of OSMnx tutorials, usage examples, and feature demonstrations.

Jupyter NotebookMIT★ 1,883 stars⑂ 559 forkssince Jul 2017View on GitHub ↗

gboeing/osmnx-examples holds a health index of 73 out of 100, placing it in the Good band. It scores highest on Community & Adoption (82/100) and lowest on AI Readiness (31/100). It was last updated 27 days ago. A single contributor accounts for most of its recent work.

73
overall / 100
Good

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.

73
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 64 is calibrated to 73 on the published index scale (record calibration 2026-08-02).

Ownership

Geoff BoeingPersonal account
2,838 followers67 public repossince Jul 2013University of Southern California

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Metrics by category

Vitality

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

69Good · 21% of overall
How it's scored
28.8/36Push recency — last push 27 days ago
7.6/36Commit cadence — 11/52 weeks with commits
15.6/18Commit volume — 54 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year54
human_commit_share0.92
days_since_last_push27
active_weeks_last_year11
How it's scored
16.2/27Ships releases — 31 version tags (no GitHub releases)
36/36Release recency — latest release 35 days ago
19.8/27Release cadence — a release every ~67.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count31
latest_release_tagv2.1.1
releases_from_tagsyes
days_since_latest_release35
mean_days_between_releases67.1
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?

82Excellent · 17% of overall
How it's scored
53.1/60Stars — 1,883 stars
22.9/25Forks — 559 forks
9.7/15Watchers — 57 watchers
Inputs used
forks559
stars1,883
watchers57
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
7.2/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingyes
has_issue_templateyes
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Sustainability & Governance

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

53Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.1/22.5Commit distribution — top contributor authored 100% of commits
2.7/13.5Contributor breadth — 2 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.997
How it's scored
42/42Issue resolution — 100% of issues closed
25.5/30PR acceptance — 73/86 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/10 approved changesets -- score normalized to 0
Inputs used
merged_prs73
open_issues0
closed_issues42
prs_merged_7d0
prs_decided_7d0
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio1
closed_unmerged_prs13
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
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
24.8/25Owner reach — 2,838 followers of gboeing
25/25Track record — 67 public repos, account ~13 yr old
Inputs used
followers2,838
owner_typeUser
is_verified
owner_logingboeing
public_repos67
account_age_days4,795
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

66Good · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
0/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests — 7 out of 8 merged PRs checked by a CI test -- score normalized to 8
Inputs used
has_ciyes
has_testsno
has_editorconfigno
has_linter_configyes
has_precommit_configyes
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://osmnx.readthedocs.io
10/10Repository description
10/10Topics — 18 topics
0/10Wiki
Inputs used
topicsstreet-networks, binder, jupyter-notebook, notebooks, urban-planning, city, cities, openstreetmap, network-analysis, transport, transportation, accessibility, urban-data-science, urban-analytics, public-transport, python, transit, urban-design
has_wikino
homepagehttps://osmnx.readthedocs.io
docs_sitehttps://osmnx.readthedocs.io
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

59Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2/2.5CI-Tests — 7 out of 8 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/10 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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 0 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 — 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
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 10 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.9
Excluded from scoring (no data or not applicable): 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
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
advisories10
affected_packages1
assessed_packages136
unassessed_packages0
affected_by_severityhigh 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 136 resolved dependencies against OSV. 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.

31At Risk · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
13.9/40Legible commit history — 24 of 92 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.261
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
0/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 8 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_testsno
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.08
How it's scored
0/45Type-checkable code — Jupyter Notebook without a type-check config
0/55Manageable file sizes — no source files detected
Inputs used
primary_languageJupyter Notebook
largest_source_bytes
source_files_sampled0
oversized_source_files0
Excluded from scoring (no data or not applicable): Manageable file sizes. Remaining weights renormalized.
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 — notebooks
Inputs used
example_dirsnotebooks
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

1,883GitHub stars
2contributors
54commits, last 12 months
27days since last push
31releases
1bus 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 'osmnx-examples' from its registry

More detail

Star and fork history 0 ★ / 559 ⇿
0Stars
559Forks
30Releases

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.

0100200300400500600558412017-072022-012026-07
Major 1Minor 11Patch 18

Each point covers 9 days.

OpenSSF Scorecard 4.9 / 10
4.9aggregate

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 · 2026-08-26 02:30 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
8CI-Tests7 out of 8 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/10 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 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
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities10 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPIosmnx==2.1.1pyproject.toml
All dependencies 136

Full resolved dependency set from the GitHub dependency graph: 1 direct and 135 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIosmnx2.1.1direct
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PyPIanyio4.14.2indirect
PyPIappnope0.1.4indirect
PyPIargon2-cffi25.1.0indirect
PyPIargon2-cffi-bindings25.1.0indirect
PyPIarrow1.4.0indirect
PyPIasttokens3.0.2indirect
PyPIasync-lru2.3.0indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbeautifulsoup44.15.0indirect
PyPIbleach6.4.0indirect
PyPIbranca0.8.2indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.1.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclick8.4.2indirect
PyPIclick-plugins1.1.1.2indirect
PyPIcligj0.7.2indirect
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PyPIcomm0.2.3indirect
PyPIcontourpy1.3.3indirect
PyPIcycler0.12.1indirect
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PyPIdecorator5.3.1indirect
PyPIdefusedxml0.7.1indirect
PyPIexecuting2.2.1indirect
PyPIfastjsonschema2.21.2indirect
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PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidna3.18indirect
PyPIigraph1.0.0indirect
PyPIipykernel7.3.0indirect
PyPIipython9.15.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIisoduration20.11.0indirect
PyPIjedi0.20.0indirect
PyPIjinja23.1.6indirect
PyPIjoblib1.5.3indirect
PyPIjson50.15.0indirect
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PyPIjsonschema4.26.0indirect
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PyPIjupyter-lsp2.3.1indirect
PyPIjupyter-server2.20.0indirect
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PyPIjupyterlab4.6.2indirect
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PyPIjupyterlab-server2.28.0indirect
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PyPInotebook-shim0.2.4indirect
PyPInumpy2.4.6indirect
PyPInumpy2.5.1indirect
PyPIosmnx-examples2.1.1indirect
PyPIoverrides7.7.0indirect
PyPIpackaging26.2indirect
PyPIpandas3.0.3indirect
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PyPIparso0.8.7indirect
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PyPIpillow12.3.0indirect
PyPIplatformdirs4.10.0indirect
PyPIprek0.4.9indirect
PyPIprometheus-client0.25.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpycparser3.0indirect
PyPIpygments2.20.0indirect
PyPIpyogrio0.13.0indirect
PyPIpyparsing3.3.2indirect
PyPIpyproj3.7.2indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-json-logger4.1.0indirect
PyPIpywinpty3.0.5indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIrasterio1.4.4indirect
PyPIrasterio1.5.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrio-vrt0.3.1indirect
PyPIrpds-py2026.6.3indirect
PyPIscikit-learn1.9.0indirect
PyPIscipy1.17.1indirect
PyPIscipy1.18.0indirect
PyPIsend2trash2.1.0indirect
PyPIshapely2.1.2indirect
PyPIsix1.17.0indirect
PyPIsmmap5.0.3indirect
PyPIsoupsieve2.8.4indirect
PyPIstack-data0.6.3indirect
PyPIterminado0.18.1indirect
PyPItexttable1.7.0indirect
PyPIthreadpoolctl3.6.0indirect
PyPItinycss21.5.1indirect
PyPItornado6.5.7indirect
PyPItraitlets5.15.1indirect
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PyPItzdata2026.3indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.7.0indirect
PyPIwcwidth0.8.2indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIxyzservices2026.3.0indirect
Dependency advisories 1

This repository publishes no package the index resolves, so its own dependency graph was assessed — 136 packages, which also include development and test pins that never ship: 1 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
gitpython3.1.54indirecthigh103.1.58

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.

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 v0.34.0 — full methodology · metrics wiki.

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