Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 22:08 UTC

zarr-developers / zarr-python

An implementation of chunked, compressed, N-dimensional arrays for Python.

PythonMIT★ 2,052 stars⑂ 450 forkssince Dec 2015View on GitHub ↗
KindLibraryCommand-line toolPluginhow this is determined
#zarr#ndimensional-arrays#compressed#python

zarr-developers/zarr-python holds a health index of 98 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on Sustainability & Governance (78/100). It was last updated today. 3 contributors account for most of its recent work.

98
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.

98
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 87 is calibrated to 98 on the published index scale (record calibration 2026-08-02).

Ownership

Zarr DevelopersOrganization
235 followers46 public repossince Jan 2018

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIzarr3.3.05,647,74211742 days agopythoncompressedndimensional-arrayszarr

Metrics by category

Vitality

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

99Exceptional · 21% of overall

Development activity

98Exceptional
How it's scored
36/36Push recency — last push 0 days ago
33.9/36Commit cadence — 49/52 weeks with commits
18/18Commit volume — 403 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_year403
human_commit_share0.79
days_since_last_push0
active_weeks_last_year49

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 42 days ago
27/27Release cadence — a release every ~40.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv3.3.0
releases_from_tagsno
days_since_latest_release42
mean_days_between_releases40.6
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?

91Excellent · 17% of overall

Popularity & adoption

84Excellent
How it's scored
53.7/60Stars — 2,052 stars
22.1/25Forks — 450 forks
8.7/15Watchers — 37 watchers
Inputs used
forks450
stars2,052
watchers37
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
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
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, codecov.io, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 5,647,742 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageszarr
dependents—
ecosystemspypi
total_downloads—
monthly_downloads5,647,742
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?

78Good · 23% of overall

Maintainer resilience (bus factor)

74Good
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
14.1/22.5Commit distribution — top contributor authored 38% of commits
13.5/13.5Contributor breadth — 98 contributors
10/10OpenSSF Scorecard: Contributors — project has 140 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled98
top_contributor_share0.375

Issue & PR responsiveness

71Good
How it's scored
31.2/42Issue resolution — 74% of issues closed
23.8/30PR acceptance — 1,938/2,440 decided PRs merged
13/13Newcomer PR acceptance — 6/6 first-time contributors' PRs merged in 30d
3/15OpenSSF Scorecard: Code-Review — Found 6/24 approved changesets -- score normalized to 2
Inputs used
merged_prs1,938
open_issues404
closed_issues1,169
prs_merged_7d17
prs_decided_7d17
prs_merged_30d28
prs_decided_30d28
issue_closed_ratio0.743
closed_unmerged_prs502
first_time_authors_30d5
first_time_prs_merged_30d6
first_time_prs_decided_30d6

Ownership & stewardship

71Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
17.1/25Owner reach — 235 followers of zarr-developers
24.2/25Track record — 46 public repos, account ~8 yr old
Inputs used
followers235
owner_typeOrganization
is_verifiedno
owner_loginzarr-developers
public_repos46
account_age_days3,172

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 42 days ago
20/20Version history — 117 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageszarr
ecosystemspypi
any_deprecatedno
min_days_since_publish42

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 20 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://zarr.readthedocs.io
10/10Repository description
10/10Topics — 4 topics
0/10Wiki
Inputs used
topicszarr, ndimensional-arrays, compressed, python
has_wikino
homepagehttps://zarr.readthedocs.io
docs_sitehttps://zarr.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

79Good · 16% of overall

Security posture

74Good
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
1.5/7.5Code-Review — Found 6/24 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 140 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 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
1/5SAST — SAST tool is not run on all commits -- score normalized to 2
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate7.4
Excluded from scoring (no data or not applicable): Branch-Protection, 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
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_packages7
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:zarr@3.3.0 runtime dependency closure — what installing the published package pulls in — 7 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.

79Good · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 79 of 79 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—

Verify loop (build / test / typecheck)

99Exceptional
How it's scored
18/18One-command bootstrap — packages/zarr-http-server/justfile, packages/zarr-indexing/justfile, packages/zarr-metadata/justfile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — packages/zarr-http-server/src/zarr_http_server/py.typed, packages/zarr-indexing/src/zarr_indexing/py.typed, packages/zarr-metadata/src/zarr_metadata/py.typed, src/zarr/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 8 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 21 of the last 100 commits are automated dependency updates
9/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filespackages/zarr-http-server/justfile, packages/zarr-indexing/justfile, packages/zarr-metadata/justfile
has_devcontainerno
has_linter_configyes
typecheck_configspackages/zarr-http-server/src/zarr_http_server/py.typed, packages/zarr-indexing/src/zarr_indexing/py.typed, packages/zarr-metadata/src/zarr_metadata/py.typed, src/zarr/py.typed
agent_commit_share0.08
toolchain_manifests—
dependency_bot_commit_share0.21

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (packages/zarr-http-server/src/zarr_http_server/py.typed, packages/zarr-indexing/src/zarr_indexing/py.typed, packages/zarr-metadata/src/zarr_metadata/py.typed, src/zarr/py.typed)
53.3/55Manageable file sizes — 13/417 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes221,494
source_files_sampled417
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

2,052GitHub stars
98contributors
403commits, last 12 months
0days since last push
100releases
3bus factor
404open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 450 ⇿
0Stars
450Forks
100Releases

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.

0100200300400500442142015-122021-042026-09
Major 1Minor 20Patch 57

Each point covers 10 days.

OpenSSF Scorecard 7.4 / 10
7.4aggregate

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 · 2026-09-10 22:07 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
2Code-ReviewFound 6/24 approved changesets -- score normalized to 2
10Contributorsproject has 140 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 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
2SASTSAST tool is not run on all commits -- score normalized to 2
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPIpackaging>=22.0pyproject.toml
PyPInumpy>=2pyproject.toml
PyPInumcodecs>=0.14pyproject.toml
PyPIgoogle-crc32c>=1.5pyproject.toml
PyPItyping_extensions>=4.14pyproject.toml
PyPIdonfig>=0.8pyproject.toml
PyPImsgspec>=0.19pyproject.toml
All dependencies 268

Full resolved dependency set from the GitHub dependency graph: 17 direct and 251 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPInumcodecs0.12.1direct
PyPInumcodecs0.16.5direct
PyPInumpy—direct
PyPInumpy1.26.4direct
PyPInumpy2.5.1direct
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PyPIpackaging—direct
PyPIpackaging26.2direct
PyPIpackaging26.3direct
PyPItyping-extensions—direct
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PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstack-data0.6.3indirect
PyPIstarlette1.3.1indirect
PyPIsympy1.14.0indirect
PyPItinycss21.4.0indirect
PyPItomlkit0.15.1indirect
PyPItornado6.5.8indirect
PyPItowncrier25.8.0indirect
PyPItraitlets5.16.1indirect
PyPItruststore0.10.4indirect
PyPItyper0.27.1indirect
PyPItypes-redis—indirect
PyPItypes-setuptools—indirect
PyPItyping-inspection0.4.2indirect
PyPIuniversal-pathlib0.3.10indirect
PyPIurllib32.7.0indirect
PyPIuv0.12.6indirect
PyPIuvicorn0.51.0indirect
PyPIverspec0.1.0indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.8.2indirect
PyPIwebencodings0.5.1indirect
PyPIwerkzeug3.1.8indirect
PyPIwrapt2.1.2indirect
PyPIxmltodict1.0.4indirect
PyPIyarl1.23.0indirect
PyPIyarl1.24.5indirect
Dependency advisories 0

Installing pypi:zarr@3.3.0 pulls in 7 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.

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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.