Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-22 16:46 UTC

OvertureMaps / overturemaps-py

Overture's Python CLI

Python · Jupyter NotebookMIT★ 279 stars⑂ 50 forkssince Apr 2024View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

OvertureMaps/overturemaps-py holds a health index of 92 out of 100, placing it in the Excellent band. It scores highest on Vitality (89/100) and lowest on Security (60/100). It was last updated today. 2 contributors account for most of its recent work.

92
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.

92
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 78 is calibrated to 92 on the published index scale (record calibration 2026-08-02).

Ownership

Overture MapsOrganization
1,029 followers27 public repossince Dec 2022

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIoverturemaps1.0.257,9622258 days agogisgeojsongeospatialmappingmapsopendataovertureparquetshapely

Metrics by category

Vitality

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

89Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
24.2/36Commit cadence — 35/52 weeks with commits
18/18Commit volume — 196 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year196
human_commit_share0.75
days_since_last_push0
active_weeks_last_year35
How it's scored
27/27Ships releases — 6 releases published
36/36Release recency — latest release 58 days ago
19.8/27Release cadence — a release every ~52 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count6
latest_release_tagv1.0.2
releases_from_tagsno
days_since_latest_release58
mean_days_between_releases52

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

75Good · 17% of overall
How it's scored
39.6/60Stars — 279 stars
14.1/25Forks — 50 forks
10/15Watchers — 65 watchers
Inputs used
forks50
stars279
watchers65
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateno
How it's scored
63.5/80Monthly downloads — 57,962 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesoverturemaps
dependents—
ecosystemspypi
total_downloads—
monthly_downloads57,962
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?

77Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.8/22.5Commit distribution — top contributor authored 43% of commits
13.5/13.5Contributor breadth — 22 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor2
contributors_sampled22
top_contributor_share0.433
How it's scored
38.2/42Issue resolution — 91% of issues closed
25.7/30PR acceptance — 84/98 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs84
open_issues5
closed_issues50
prs_merged_7d1
prs_decided_7d1
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio0.909
closed_unmerged_prs14
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
21.7/25Owner reach — 1,029 followers of OvertureMaps
18.2/25Track record — 27 public repos, account ~3 yr old
Inputs used
followers1,029
owner_typeOrganization
is_verifiedno
owner_loginOvertureMaps
public_repos27
account_age_days1,406

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 58 days ago
20/20Version history — 22 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesoverturemaps
ecosystemspypi
any_deprecatedno
min_days_since_publish58

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-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_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://pypi.org/project/overturemaps/
10/10Repository description
10/10Topics — 4 topics
0/10Wiki
Inputs used
topicsoverture-maps, geospatial-analysis, maps, cli
has_wikino
homepagehttps://pypi.org/project/overturemaps/
docs_sitehttps://pypi.org/project/overturemaps/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

60Moderate · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
25/25Dependabot config
25/25Dependency lockfiles — uv.lock
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfilesuv.lock
manifestspyproject.toml
has_codeql_workflowno
has_security_policyno
has_dependabot_configyes

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages8
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:overturemaps@1.0.2 runtime dependency closure — what installing the published package pulls in — 8 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
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.overturemaps.org/llms.txt)
40/40Legible commit history — 57 of 75 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.overturemaps.org/llms.txt
legible_history_share0.76
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — justfile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 16 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 24 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesjustfile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.16
toolchain_manifests—
dependency_bot_commit_share0.24
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/24 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes19,235
source_files_sampled24
oversized_source_files0
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, notebooks
Inputs used
example_dirsexamples, notebooks
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

279GitHub stars
22contributors
196commits, last 12 months
0days since last push
6releases
2bus factor
5open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • OpenSSF Scorecard did not return a usable result (exit code 0; Skipping github.com/OvertureMaps/overturemaps-py: run: internal error: ListCommits:error during graphqlHandler.setup: internal error: githubv4.Query: Something went wrong while executing your query on 2026-10-22T16:46:08Z. Please include `A41C:2C3080:937D99B:D664AF4:6ADA3DCD` when reporting this issue.); skipping Scorecard checks

More detail

Star and fork history 0 ★ / 50 ⇿
0Stars
50Forks
6Releases

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.

010203040504932024-042025-062026-09
Major 1Minor 3Patch 2

Each point covers 3 days.

Direct dependencies 8
RegistryPackageVersion constraintManifest
PyPIclick>=8.3.0pyproject.toml
PyPIcolorama>=0.4.6pyproject.toml
PyPIorjson>=3.9.0pyproject.toml
PyPIpyfiglet>=1.0.2pyproject.toml
PyPIpyarrow>=15.0.2pyproject.toml
PyPIshapely>=2.1.0pyproject.toml
PyPInumpy>=1.26.4pyproject.toml
PyPItqdm>=4.67.3pyproject.toml
All dependencies 39

Full resolved dependency set from the GitHub dependency graph: 9 direct and 30 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIclick8.3.1direct
PyPIcolorama0.4.6direct
PyPInumpy2.2.6direct
PyPInumpy2.4.1direct
PyPIorjson3.11.7direct
PyPIpyarrow22.0.0direct
PyPIpyfiglet1.0.4direct
PyPIshapely2.1.2direct
PyPItqdm4.67.3direct
PyPIaltgraph0.17.5indirect
PyPIcertifi2026.1.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIgeopandas1.1.2indirect
PyPIiniconfig2.3.0indirect
PyPImacholib1.16.4indirect
PyPIoverturemaps1.0.2indirect
PyPIpackaging25.0indirect
PyPIpandas2.3.3indirect
PyPIpefile2024.8.26indirect
PyPIpluggy1.6.0indirect
PyPIpy-cpuinfo9.0.0indirect
PyPIpygments2.19.2indirect
PyPIpyinstaller6.20.0indirect
PyPIpyinstaller-hooks-contrib2026.4indirect
PyPIpyogrio0.12.1indirect
PyPIpyproj3.7.1indirect
PyPIpyproj3.7.2indirect
PyPIpytest9.0.2indirect
PyPIpytest-benchmark5.2.3indirect
PyPIpytest-mock3.15.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpytz2025.2indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIruff0.16.4indirect
PyPIsetuptools82.0.1indirect
PyPIsix1.17.0indirect
PyPItomli2.4.0indirect
PyPItyping-extensions4.15.0indirect
PyPItzdata2025.3indirect
Dependency advisories 0

Installing pypi:overturemaps@1.0.2 pulls in 8 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

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 — PyPI.