Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-20 19:47 UTC

girder / large_image

Python modules to work with large multiresolution images.

Python · JavaScriptApache-2.0★ 221 stars⑂ 52 forkssince Nov 2015View on GitHub ↗
KindLibraryhow this is determined

girder/large_image holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Vitality (96/100) and lowest on Security (46/100). It was last updated 6 days ago. A single contributor accounts for most of its recent work.

88
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.

88
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

GirderOrganization
30 followers75 public repossince Aug 2013

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIlarge-image1.35.641,0151,7596 days agolarge-image
PyPIgirder-large-image1.35.616,3491,7576 days agogirder-pluginlarge-image
PyPIgirder-large-image-annotation1.35.614,4981,7456 days agogirder-pluginlarge-image

Metrics by category

Vitality

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

96Exceptional · 21% of overall

Development activity

93Exceptional
How it's scored
36/36Push recency — last push 6 days ago
29.8/36Commit cadence — 43/52 weeks with commits
18/18Commit volume — 226 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year226
human_commit_share0.98
days_since_last_push6
active_weeks_last_year43

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 6 days ago
27/27Release cadence — a release every ~22.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv1.35.6
releases_from_tagsno
days_since_latest_release6
mean_days_between_releases22.6

Community & Adoption

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

61Moderate · 17% of overall

Popularity & adoption

59Moderate
How it's scored
38/60Stars — 221 stars
14.2/25Forks — 52 forks
6.7/15Watchers — 17 watchers
Inputs used
forks52
stars221
watchers17
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

81Excellent
How it's scored
64.8/80Monthly downloads — 71,862 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageslarge-image, girder-large-image, girder-large-image-annotation
dependents—
ecosystemspypi
total_downloads—
monthly_downloads71,862
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?

69Good · 23% of overall

Maintainer resilience (bus factor)

31At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
5.6/22.5Commit distribution — top contributor authored 75% of commits
13.5/13.5Contributor breadth — 31 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled31
top_contributor_share0.753

Issue & PR responsiveness

92Excellent
How it's scored
35.4/42Issue resolution — 84% of issues closed
29.5/30PR acceptance — 1,774/1,806 decided PRs merged
13/13Newcomer PR acceptance — 2/2 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs1,774
open_issues50
closed_issues271
prs_merged_7d3
prs_decided_7d3
prs_merged_30d8
prs_decided_30d8
issue_closed_ratio0.844
closed_unmerged_prs32
first_time_authors_30d2
first_time_prs_merged_30d2
first_time_prs_decided_30d2

Ownership & stewardship

66Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
10.7/25Owner reach — 30 followers of girder
25/25Track record — 75 public repos, account ~13 yr old
Inputs used
followers30
owner_typeOrganization
is_verifiedno
owner_logingirder
public_repos75
account_age_days4,826

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 3 package(s) on pypi
35/35Publish recency — latest publish 6 days ago
20/20Version history — 1,759 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageslarge-image, girder-large-image, girder-large-image-annotation
ecosystemspypi
any_deprecatedno
min_days_since_publish6

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
16/16Linter config — .eslintrc, pyproject.toml ([tool.ruff]), tox.ini
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — http://girder.github.io/large_image/
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepagehttp://girder.github.io/large_image/
docs_sitehttp://girder.github.io/large_image/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

46Weak · 16% of overall

Security posture

33At Risk
How it's scored
0/30Security policy (SECURITY.md)
25/25Dependabot config
0/25Dependency lockfiles — published library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestsgirder/pyproject.toml, girder/setup.py, girder_annotation/pyproject.toml, girder_annotation/setup.py, pyproject.toml, requirements-dev-osx.txt, requirements-dev.txt, requirements-test-core.txt, requirements-test.txt, setup.py
has_codeql_workflowno
has_security_policyno
has_dependabot_configyes
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.

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_packages5
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:large-image@1.35.6 runtime dependency closure — what installing the published package pulls in — 5 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.

62Moderate · 4% of overall

Agent context & guidance

47Weak
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://girder.github.io/large_image/llms.txt)
32.1/40Legible commit history — 59 of 98 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://girder.github.io/large_image/llms.txt
legible_history_share0.602
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

63Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .eslintrc, pyproject.toml ([tool.ruff]), tox.ini
0/11Static type checking
10/10Reproducible environment — Dockerfile
6/10Demonstrated agent practice — 3 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 2 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.03
toolchain_manifests—
dependency_bot_commit_share0.02

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
53.7/55Manageable file sizes — 7/295 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes135,755
source_files_sampled295
oversized_source_files7

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, 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

221GitHub stars
31contributors
226commits, last 12 months
6days since last push
100releases
1bus factor
50open 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 (killed by SIGKILL — most likely the container's memory limit; 2026/10/20 19:45:11 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks

More detail

Star and fork history 0 ★ / 52 ⇿
0Stars
52Forks
99Releases

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.

010203040505022016-052021-082026-10
Major 0Minor 21Patch 78

Each point covers 10 days.

All dependencies 98

Full resolved dependency set from the GitHub dependency graph: 0 direct and 98 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
npm@egjs/hammerjs^2.0.8indirect
npm@girder/eslint-config*indirect
npm@girder/eslint-config3.0.0-rc1indirect
npm@girder/pug-lint-config*indirect
npm@girder/pug-lint-config^3.0.0-rc1indirect
npmcodemirror^5.65.0indirect
npmcopy-webpack-plugin^4.5.2indirect
npmd3^3.5.16indirect
npmeslint^8.20.0indirect
npmeslint-config-semistandard^17.0.0indirect
npmeslint-config-standard^17.0.0indirect
npmeslint-plugin-backbone^2.1.1indirect
npmeslint-plugin-import^2.25.3indirect
npmeslint-plugin-import^2.26.0indirect
npmeslint-plugin-n^15.2.4indirect
npmeslint-plugin-n^15.3.0indirect
npmeslint-plugin-promise^6.0.0indirect
npmeslint-plugin-underscore^0.0.10indirect
npmeslint-plugin-vue~9.14.0indirect
npmgeojs^1.8.6indirect
npmjs-yaml~4.1.0indirect
npmjsonlint-mod^1.7.6indirect
npmnyc^15.1.0indirect
npmphantomjs-prebuilt^2.1.16indirect
npmpug-lint^2.6.0indirect
npmsinon^2.1.0indirect
npmstylint^2.0.0indirect
npmstylus-supremacy^2.17.5indirect
npmtinycolor2~1.4.1indirect
npmvue~2.6.14indirect
npmvue-loader~15.9.8indirect
npmvue-template-compiler~2.6.14indirect
npmwebpack^3indirect
npmyaml^2.1.1indirect
PyPIaiohttp—indirect
PyPIalbumentations—indirect
PyPIcachetools—indirect
PyPIdask—indirect
PyPIgdal—indirect
PyPIgirder—indirect
PyPIgirder-jobs—indirect
PyPIgirder-large-image—indirect
PyPIgirder-worker—indirect
PyPIgirder-worker-utils—indirect
PyPIglymur—indirect
PyPIh5py—indirect
PyPIimportlib-metadata—indirect
PyPIipyleaflet—indirect
PyPIipython—indirect
PyPIipyvue—indirect
PyPIjsonschema—indirect
PyPIlarge-image—indirect
PyPIlarge-image-converter—indirect
PyPIlarge-image-source-gdal—indirect
PyPIlarge-image-source-tiff—indirect
PyPIlarge-image-tasks—indirect
PyPImapnik—indirect
PyPImatplotlib—indirect
PyPImatplotlib1.5.1indirect
PyPInd2—indirect
PyPInumpy—indirect
PyPInumpy1.11.0indirect
PyPIopencv-python—indirect
PyPIopenpyxl—indirect
PyPIopenslide-python—indirect
PyPIorjson—indirect
PyPIpackaging—indirect
PyPIpalettable—indirect
PyPIpandas—indirect
PyPIpillow—indirect
PyPIpillow3.2.0indirect
PyPIpip—indirect
PyPIpsutil—indirect
PyPIpydicom—indirect
PyPIpykdtree—indirect
PyPIpylibmc—indirect
PyPIpylibtiff—indirect
PyPIpyproj—indirect
PyPIpython-bioformats—indirect
PyPIpython-calamine—indirect
PyPIpyvips—indirect
PyPIpyyaml—indirect
PyPIredis—indirect
PyPIrequests2.10.0indirect
PyPIscikit-image—indirect
PyPIscipy—indirect
PyPIsimplejpeg—indirect
PyPItifftools—indirect
PyPItol-colors—indirect
PyPItorch—indirect
PyPItorchvision—indirect
PyPItornado—indirect
PyPItox—indirect
PyPItwine—indirect
PyPItyping-extensions—indirect
PyPIumap-learn—indirect
PyPIvirtualenv—indirect
PyPIwsidicom—indirect
Dependency advisories 0

Installing pypi:large-image@1.35.6 pulls in 5 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

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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.