Public record
Software health reportschema 0.14.0 · metrics 2.10.0 · 2026-07-19 03:04 UTC

napari / napari

napari: a fast, interactive, multi-dimensional image viewer for python

PythonBSD-3-Clause★ 2,704 stars⑂ 518 forkssince Aug 2018View on GitHub ↗
KindLibraryhow this is determined
#napari#numpy#visualization#python

napari/napari holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Vitality (96/100) and lowest on AI Readiness (55/100). It was last updated today. 6 contributors account for most of its recent work.

96
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.

96
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 84 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

napariOrganization
134 followers51 public repossince May 2018

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPInapari0.8.0148,9602514 days ago

Metrics by category

Vitality

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

96Exceptional · 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 — 565 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year565
human_commit_share—
days_since_last_push0
active_weeks_last_year52

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 4 days ago
27/27Release cadence — a release every ~3.9 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv0.8.0
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases3.9

Community & Adoption

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

83Excellent · 17% of overall

Popularity & adoption

87Excellent
How it's scored
55.7/60Stars — 2,704 stars
22.6/25Forks — 518 forks
8.8/15Watchers — 39 watchers
Inputs used
forks518
stars2,704
watchers39
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

77Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (BSD-3-Clause)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateyes

Ecosystem adoption (downloads)

86Excellent
How it's scored
69/80Monthly downloads — 148,960 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesnapari
dependents—
ecosystemspypi
total_downloads—
monthly_downloads148,960
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?

89Excellent · 23% of overall

Maintainer resilience (bus factor)

91Excellent
How it's scored
48.6/54Bus factor — 6 contributor(s) cover half of all commits
18.8/22.5Commit distribution — top contributor authored 17% of commits
13.5/13.5Contributor breadth — 100 contributors
10/10OpenSSF Scorecard: Contributors — project has 84 contributing companies or organizations
Inputs used
bus_factor6
contributors_sampled100
top_contributor_share0.166

Issue & PR responsiveness

81Excellent
How it's scored
29.9/42Issue resolution — 71% of issues closed
25.8/30PR acceptance — 4,467/5,196 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs4,467
open_issues1,083
closed_issues2,667
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.711
closed_unmerged_prs729
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

87Excellent
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
15.3/25Owner reach — 134 followers of napari
24.5/25Track record — 51 public repos, account ~8 yr old
Inputs used
followers134
owner_typeOrganization
is_verified—
owner_loginnapari
public_repos51
account_age_days2,970
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 4 days ago
20/20Version history — 251 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesnapari
ecosystemspypi
any_deprecatedno
min_days_since_publish4

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 29 workflow(s)
24/24Tests present
16/16Linter config — tox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

75Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://napari.org
10/10Repository description
10/10Topics — 4 topics
10/10Wiki
Inputs used
topicsnapari, numpy, visualization, python
has_wikiyes
homepagehttps://napari.org
docs_sitehttps://napari.org
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

69Good · 16% of overall

Security posture

69Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 84 contributing companies or organizations
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 15 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.9
Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized.

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.

55Moderate · 4% of overall

Agent context & guidance

1Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_files—
agent_instruction_max_bytes—
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

79Good
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — tox.ini
0/11Static type checking
10/10Reproducible environment — devcontainer, Dockerfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontaineryes
has_linter_configyes
typecheck_configs—
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.2/55Manageable file sizes — 13/951 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes135,004
source_files_sampled951
oversized_source_files13

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

2,704GitHub stars
100contributors
565commits, last 12 months
0days since last push
100releases
6bus factor
1,083open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 6.9 / 10
6.9aggregate

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 · 2026-07-19 03:03 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
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
10Code-Reviewall changesets reviewed
10Contributorsproject has 84 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 15 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
10SASTSAST tool is run on all commits
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
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 36
RegistryPackageVersion constraintManifest
PyPIapp-model>=0.5.0,<0.6.0pyproject.toml
PyPIcachey>=0.2.1pyproject.toml
PyPIcertifi>=2018.1.18pyproject.toml
PyPIdask>=2022.1.1pyproject.toml
PyPIimageio>=2.20,!=2.22.1pyproject.toml
PyPIjsonschema>=3.2.0pyproject.toml
PyPIlazy_loader>=0.3pyproject.toml
PyPImagicgui>=0.7.0pyproject.toml
PyPInapari-console>=0.1.4pyproject.toml
PyPInapari-plugin-engine>=0.2.1pyproject.toml
PyPInapari-svg>=0.1.8pyproject.toml
PyPInpe2>=0.8.1pyproject.toml
PyPInumpy>=1.25pyproject.toml
PyPIpandas>=1.5.0pyproject.toml
PyPIPillow>=10.0pyproject.toml
PyPIpint>=0.17pyproject.toml
PyPIplatformdirs>=4.3.0pyproject.toml
PyPIpsutil>=5.9.4pyproject.toml
PyPIpsygnal>=0.14.2pyproject.toml
PyPIpydantic>=2.8.0pyproject.toml
PyPIpygments>=2.13.0pyproject.toml
PyPIpydantic-extra-types—pyproject.toml
PyPIpydantic-settings—pyproject.toml
PyPIPyOpenGL>=3.1.10pyproject.toml
PyPIpywin32—pyproject.toml
PyPIPyYAML>=6.0pyproject.toml
PyPIqtpy>=2.4.0pyproject.toml
PyPIscikit-image>=0.20.0pyproject.toml
PyPIscipy>=1.14.0pyproject.toml
PyPIsuperqt>=0.7.8pyproject.toml
PyPItifffile>=2022.7.28pyproject.toml
PyPItoolz>=0.12.1pyproject.toml
PyPItqdm>=4.56.0pyproject.toml
PyPItyping_extensions>=4.12pyproject.toml
PyPIvispy>=0.16.2,<0.17pyproject.toml
PyPIwrapt>=1.14.1pyproject.toml
All dependencies 124

Full resolved dependency set from the GitHub dependency graph: 50 direct and 74 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIapp-model—direct
PyPIapp-model0.5.1direct
PyPIcachey—direct
PyPIcertifi—direct
PyPIcertifi2026.6.17direct
PyPIdask—direct
PyPIimageio—direct
PyPIjsonschema—direct
PyPIlazy-loader—direct
PyPImagicgui—direct
PyPImagicgui0.10.2direct
PyPInapari-console—direct
PyPInapari-plugin-engine—direct
PyPInapari-svg—direct
PyPInpe2—direct
PyPInpe20.8.3direct
PyPInumpy—direct
PyPInumpy2.5.1direct
PyPIpandas—direct
PyPIpillow—direct
PyPIpint—direct
PyPIplatformdirs—direct
PyPIplatformdirs4.10.0direct
PyPIpsutil—direct
PyPIpsygnal—direct
PyPIpsygnal0.15.1direct
PyPIpydantic—direct
PyPIpydantic2.13.4direct
PyPIpydantic-extra-types—direct
PyPIpydantic-extra-types2.11.1direct
PyPIpydantic-settings—direct
PyPIpygments—direct
PyPIpygments2.20.0direct
PyPIpyopengl—direct
PyPIpywin32—direct
PyPIpyyaml—direct
PyPIpyyaml6.0.3direct
PyPIqtpy—direct
PyPIqtpy2.4.3direct
PyPIscikit-image—direct
PyPIscipy—direct
PyPIsuperqt—direct
PyPIsuperqt0.8.2direct
PyPItifffile—direct
PyPItoolz—direct
PyPItqdm—direct
PyPItyping-extensions—direct
PyPItyping-extensions4.16.0direct
PyPIvispy—direct
PyPIwrapt—direct
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIast-serialize0.6.0indirect
PyPIbabel—indirect
PyPIbermuda—indirect
PyPIbuild1.5.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIcheck-manifest—indirect
PyPIcoverage—indirect
PyPIdocstring-parser0.18.0indirect
PyPIfsspec—indirect
PyPIgitpython—indirect
PyPIhypothesis—indirect
PyPIidna3.18indirect
PyPIin-n-out0.2.1indirect
PyPIipython—indirect
PyPIlibrt0.12.0indirect
PyPIlxml—indirect
PyPImarkdown-it-py4.2.0indirect
PyPImatplotlib—indirect
PyPImdurl0.1.2indirect
PyPImypy2.1.0indirect
PyPImypy-extensions1.1.0indirect
PyPInapari-metadata—indirect
PyPInapari-plugin-manager—indirect
PyPInapari-sphinx-theme—indirect
PyPInumba—indirect
PyPInumpydoc—indirect
PyPIpackaging26.2indirect
PyPIpartsegcore-compiled-backend—indirect
PyPIpathspec1.1.1indirect
PyPIpooch—indirect
PyPIpre-commit—indirect
PyPIpretend—indirect
PyPIpyconify0.2.1indirect
PyPIpydantic-core2.46.4indirect
PyPIpygithub—indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpyqt5—indirect
PyPIpyqt5-qt5—indirect
PyPIpyqt66.11.0indirect
PyPIpyqt6-qt66.11.1indirect
PyPIpyqt6-sip13.11.1indirect
PyPIpyside6—indirect
PyPIpytest—indirect
PyPIpytest-pretty—indirect
PyPIpytest-qt—indirect
PyPIpytest-rerunfailures—indirect
PyPIqtconsole—indirect
PyPIrequests2.34.2indirect
PyPIrequests-cache—indirect
PyPIrich15.0.0indirect
PyPIsetuptools—indirect
PyPIsetuptools-scm—indirect
PyPIshellingham1.5.4indirect
PyPIsphinx—indirect
PyPIsphinx-autodoc-typehints1.12.0indirect
PyPIsphinx-external-toc—indirect
PyPIsphinx-favicon—indirect
PyPIsphinxcontrib-mermaid—indirect
PyPItensorstore—indirect
PyPItomli-w1.2.0indirect
PyPItorch—indirect
PyPItrackastra—indirect
PyPItwine—indirect
PyPItyper0.26.8indirect
PyPItypes-pyyaml6.0.12.20260518indirect
PyPItypes-requests2.33.0.20260518indirect
PyPItypes-setuptools83.0.0.20260706indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv—indirect
PyPIxarray—indirect
PyPIzarr—indirect
Raw JSON report machine-readable

Feedback

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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 v0.14.0 — full methodology · metrics wiki.

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