Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-21 20:49 UTC

opengeos / geoai

GeoAI: Artificial Intelligence for Geospatial Data

PythonMIT★ 3,387 stars⑂ 480 forkssince Aug 2023View on GitHub ↗
KindCommand-line toolMCP serverLibraryhow this is determined

opengeos/geoai holds a health index of 93 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (96/100) and lowest on Security (54/100). It was last updated today. A single contributor accounts for most of its recent work.

93
overall / 100
Exceptional

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.

93
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 79 is calibrated to 93 on the published index scale (record calibration 2026-08-02).

Ownership

4,088 followers174 public repossince Apr 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIgeoai-py0.43.1-900 days agogeoai

Metrics by category

Vitality

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

92Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
30.5/36Commit cadence44/52 weeks with commits
18/18Commit volume380 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year380
human_commit_share0.86
days_since_last_push0
active_weeks_last_year44
How it's scored
27/27Ships releases94 releases published
36/36Release recencylatest release 0 days ago
27/27Release cadencea release every ~13.4 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count94
latest_release_tagv0.43.1
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases13.4

Community & Adoption

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

80Excellent · 17% of overall
How it's scored
57.3/60Stars3,387 stars
22.3/25Forks480 forks
9/15Watchers43 watchers
Inputs used
forks480
stars3,387
watchers43
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges7
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Sustainability & Governance

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

72Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
2.6/22.5Commit distributiontop contributor authored 88% of commits
13.5/13.5Contributor breadth27 contributors
10/10OpenSSF Scorecard: Contributorsproject has 6 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled27
top_contributor_share0.885
How it's scored
40.7/42Issue resolution97% of issues closed
26.7/30PR acceptance520/584 decided PRs merged
13/13Newcomer PR acceptance3/3 first-time contributors' PRs merged in 30d
10.5/15OpenSSF Scorecard: Code-ReviewFound 18/23 approved changesets -- score normalized to 7
Inputs used
merged_prs520
open_issues7
closed_issues226
prs_merged_7d5
prs_decided_7d5
prs_merged_30d10
prs_decided_30d10
issue_closed_ratio0.97
closed_unmerged_prs64
first_time_authors_30d3
first_time_prs_merged_30d3
first_time_prs_decided_30d3
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domain
25/25Owner reach4,088 followers of opengeos
19.9/25Track record174 public repos, account ~3 yr old
Inputs used
followers4,088
owner_typeOrganization
is_verifiedno
owner_loginopengeos
public_repos174
account_age_days1,266

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 0 days ago
20/20Version history90 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesgeoai-py
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows14 workflow(s)
24/24Tests present
16/16Linter configgeoai-mcp-server/pyproject.toml ([tool.ruff]), pyproject.toml ([tool.flake8])
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://opengeoai.org
10/10Repository description
10/10Topics12 topics
0/10Wiki
Inputs used
topicsai, data-science, geoai, geopython, geospatial, jupyter, python, deep-learning, earth-observation, pytorch, remote-sensing, segmentation
has_wikino
homepagehttps://opengeoai.org
docs_sitehttps://opengeoai.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

54Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
2.2/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5.2/7.5Code-ReviewFound 18/23 approved changesets -- score normalized to 7
2.5/2.5Contributorsproject has 6 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities14 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5
How it's scored
13.7/35Direct dependencies free of known advisories1 affected: mcp 1.26.0 (high 7.6)
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
40/40No advisories left outstandingno advisory has been public longer than 90 days
Inputs used
sourceosv
advisories255
affected_packages29
assessed_packages368
unassessed_packages70
affected_by_severitycritical 4, high 17, moderate 6, unknown 2
direct_affected_packages1
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 368 resolved dependencies against OSV. 70 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.

59Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history86 of 86 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share1
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format configgeoai-mcp-server/pyproject.toml ([tool.ruff]), pyproject.toml ([tool.flake8])
0/11Static type checking
10/10Reproducible environmentDockerfile
10/10Demonstrated agent practice6 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance11 of the last 100 commits are automated dependency updates
1/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.06
toolchain_manifests
dependency_bot_commit_share0.11
How it's scored
0/45Type-checkable codePython without a type-check config
50.9/55Manageable file sizes17/228 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes250,788
source_files_sampled228
oversized_source_files17
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
20/20MCP server
40/40Runnable examplesexamples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalyes
api_schema_files
interfaces_expected_of
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

3,387GitHub stars
27contributors
380commits, last 12 months
0days since last push
94releases
1bus factor
7open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'geoai-py' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • Could not fetch pypi package 'cli-anything-geoai' from its registry
  • Could not fetch pypi package 'geoai-mcp-server' from its registry
  • deps.dev does not index pypi:geoai-py@0.43.1; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 480 ⇿
0Stars
480Forks
91Releases

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.

0100200300400500476192023-112025-042026-09
Major 0Minor 42Patch 49

Each point covers 3 days.

OpenSSF Scorecard 5.0 / 10
5.0aggregate

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 · 2026-09-21 20:48 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
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
7Code-ReviewFound 18/23 approved changesets -- score normalized to 7
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities14 existing vulnerabilities detected
Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPImcp>=1.0.0,<2.0.0geoai-mcp-server/pyproject.toml
PyPIgeoai-py>=0.29.0geoai-mcp-server/pyproject.toml
PyPIpydantic>=2.0.0geoai-mcp-server/pyproject.toml
PyPIpython-dotenv>=1.0.0geoai-mcp-server/pyproject.toml
PyPIaiofiles>=23.0.0geoai-mcp-server/pyproject.toml
All dependencies 438

Full resolved dependency set from the GitHub dependency graph: 9 direct and 429 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIpreshed3.0.12indirect
PyPIprettytable3.17.0indirect
PyPIprometheus-client0.24.1indirect
PyPIprompt-toolkitindirect
PyPIprompt-toolkit3.0.52indirect
PyPIpropcache0.4.1indirect
PyPIprotobuf6.33.5indirect
PyPIpsutil7.2.2indirect
PyPIpsygnal0.15.1indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpyarrowindirect
PyPIpyarrow23.0.1indirect
PyPIpycocotools2.0.11indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.41.5indirect
PyPIpydantic-settings2.13.1indirect
PyPIpydeprecate0.5.0indirect
PyPIpygmentsindirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.12.1indirect
PyPIpymdown-extensionsindirect
PyPIpyogrio0.12.1indirect
PyPIpyparsing3.3.2indirect
PyPIpyproj3.7.1indirect
PyPIpyreadline33.5.4indirect
PyPIpysocks1.7.1indirect
PyPIpystac1.14.3indirect
PyPIpystac-clientindirect
PyPIpystac-client0.9.0indirect
PyPIpython-box7.4.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-fasthtml0.12.50indirect
PyPIpython-json-logger4.0.0indirect
PyPIpython-multipart0.0.22indirect
PyPIpytorch-lightning2.6.1indirect
PyPIpytz2026.1.post1indirect
PyPIpywin32311indirect
PyPIpywinpty3.0.3indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIrasterioindirect
PyPIrasterio1.4.4indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.2.28indirect
PyPIrequests2.33.1indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrfdetr1.6.3indirect
PyPIrich14.3.3indirect
PyPIrio-cogeo6.0.0indirect
PyPIrio-tiler7.9.3indirect
PyPIrioxarrayindirect
PyPIrioxarray0.19.0indirect
PyPIrpds-py0.30.0indirect
PyPIrtree1.4.1indirect
PyPIs3transfer0.16.0indirect
PyPIsafetensorsindirect
PyPIsafetensors0.7.0indirect
PyPIscikit-imageindirect
PyPIscikit-image0.25.2indirect
PyPIscikit-learnindirect
PyPIscikit-learn1.7.2indirect
PyPIscipy1.15.3indirect
PyPIscooby0.11.0indirect
PyPIsegmentation-models-pytorch0.5.0indirect
PyPIsend2trash2.1.0indirect
PyPIsentry-sdk2.55.0indirect
PyPIserver-thread0.3.0indirect
PyPIsetuptoolsindirect
PyPIsetuptools82.0.1indirect
PyPIsetuptools-scmindirect
PyPIshapely2.1.2indirect
PyPIshellingham1.5.4indirect
PyPIsimpervisor1.0.0indirect
PyPIsimsimd6.5.16indirect
PyPIsix1.17.0indirect
PyPIslack-bolt1.27.0indirect
PyPIslack-sdk3.41.0indirect
PyPIsmart-open7.5.1indirect
PyPIsmmap5.0.3indirect
PyPIsmoothifyindirect
PyPIsmoothify0.2.1indirect
PyPIsniffio1.3.1indirect
PyPIsoupsieve2.8.3indirect
PyPIspacy3.8.11indirect
PyPIspacy-legacy3.0.12indirect
PyPIspacy-loggers1.0.5indirect
PyPIsphinxindirect
PyPIsrsly2.5.2indirect
PyPIsse-starlette3.3.3indirect
PyPIstack-data0.6.3indirect
PyPIstarlette0.52.1indirect
PyPIstrands-agentsindirect
PyPIstrands-agents1.30.0indirect
PyPIstrands-agents-tools0.2.22indirect
PyPIstringzilla4.6.0indirect
PyPIsupervision0.27.0.post2indirect
PyPIsympy1.14.0indirect
PyPItenacity9.1.4indirect
PyPItensorboard2.20.0indirect
PyPItensorboard-data-server0.7.2indirect
PyPItensorboardx2.6.4indirect
PyPIterminado0.18.1indirect
PyPIterratorchindirect
PyPIthinc8.3.10indirect
PyPIthreadpoolctl3.6.0indirect
PyPItifffile2025.5.10indirect
PyPItimmindirect
PyPItimm1.0.25indirect
PyPItinycss21.4.0indirect
PyPItokenizersindirect
PyPItokenizers0.22.2indirect
PyPItorchindirect
PyPItorch2.10.0indirect
PyPItorchange0.0.4indirect
PyPItorchgeoindirect
PyPItorchgeo0.6.2indirect
PyPItorchinfoindirect
PyPItorchinfo1.8.0indirect
PyPItorchmetrics1.9.0indirect
PyPItorchvision0.25.0indirect
PyPItornado6.5.5indirect
PyPItoxindirect
PyPItqdmindirect
PyPItqdm4.67.3indirect
PyPItraitlets5.14.3indirect
PyPItraittypes0.2.3indirect
PyPItransformersindirect
PyPItransformers5.3.0indirect
PyPItriton3.6.0indirect
PyPItwineindirect
PyPItyper0.24.1indirect
PyPItyper-slim0.24.0indirect
PyPItypeshed-client2.9.0indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.3indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.6.3indirect
PyPIuvicorn0.42.0indirect
PyPIuvloop0.22.1indirect
PyPIwandb0.25.1indirect
PyPIwasabi1.1.3indirect
PyPIwatchdogindirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.1.1indirect
PyPIwcwidth0.6.0indirect
PyPIweasel0.4.3indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwebsockets16.0indirect
PyPIwerkzeug3.1.6indirect
PyPIwheelindirect
PyPIwhitebox2.3.6indirect
PyPIwhiteboxgui2.3.0indirect
PyPIwidgetsnbextension4.0.15indirect
PyPIwrapt1.17.3indirect
PyPIxarray2025.6.1indirect
PyPIxxhash3.6.0indirect
PyPIxyzservices2025.11.0indirect
PyPIyarl1.23.0indirect
PyPIzensicalindirect
PyPIzipp3.23.0indirect
Dependency advisories 29

This repository publishes no package the index resolves, so its own dependency graph was assessed — 368 packages, which also include development and test pins that never ship: 29 carry known advisories, of which 1 are direct. 70 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
anyio4.12.1indirectcritical24.14.2
cryptography46.0.6indirectcritical950.0.0
gitpython3.1.46indirectcritical553.1.60
pillow12.2.0indirectcritical2612.3.0
mcp1.26.0directhigh61.28.1
accelerate1.13.0indirecthigh2
aiohttp3.13.5indirecthigh283.14.3
click8.3.1indirecthigh18.3.3
gdown5.2.1indirecthigh25.2.2
hydra-core1.3.2indirecthigh21.3.4
jupyter-server2.17.0indirecthigh132.21.0
lightning2.6.1indirecthigh22022.6.15
mistune3.2.0indirecthigh323.3.0
pyjwt2.12.1indirecthigh92.13.0
python-multipart0.0.22indirecthigh120.0.31
soupsieve2.8.3indirecthigh62.9.0
starlette0.52.1indirecthigh101.3.1
torch2.10.0indirecthigh22.13.0
tornado6.5.5indirecthigh116.5.8
transformers5.3.0indirecthigh35.10.0
urllib32.6.3indirecthigh42.7.0
bleach6.3.0indirectmoderate36.4.0
idna3.11indirectmoderate23.15
nbconvert7.17.0indirectmoderate47.17.1
onnx1.21.0indirectmoderate41.22.0
pydantic-settings2.13.1indirectmoderate12.14.2
setuptools82.0.1indirectmoderate283.0.0
datasets4.8.2indirectunknown15.0.1
pytorch-lightning2.6.1indirectunknown12.6.6

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.

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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 statisticsPyPI.