Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-11 02:32 UTC

danijar / granular

Fast dataset format and loader

PythonMIT★ 24 stars⑂ 3 forkssince Jun 2024View on GitHub ↗
KindLibraryhow this is determined
#ai#artificial-intelligence#datasets#machine-learning#multimodal#python#research

danijar/granular holds a health index of 50 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (74/100) and lowest on AI Readiness (32/100). It was last updated today. A single contributor accounts for most of its recent work.

50
overall / 100
Moderate

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.

50
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 50 is calibrated to 50 on the published index scale (record calibration 2026-08-02).

Ownership

Danijar HafnerPersonal account
2,398 followers99 public repossince Aug 2012DeepMind

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIgranular0.24.032,981600 days ago

Metrics by category

Vitality

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

35Weak · 21% of overall

Development activity

58Moderate
How it's scored
36/36Push recency — last push 0 days ago
4.2/36Commit cadence — 6/52 weeks with commits
11.1/18Commit volume — 16 commits in the last year
7/10OpenSSF Scorecard: Maintained — 9 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 7
Inputs used
commits_last_year16
human_commit_share1
days_since_last_push0
active_weeks_last_year6

Release discipline

1Critical
How it's scored
0/27Ships releases — no releases published
0/36Release recency — no releases
0/27Release cadence — no releases
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count0
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?

46Weak · 17% of overall

Popularity & adoption

25At Risk
How it's scored
22.1/60Stars — 24 stars
2.5/25Forks — 3 forks
0/15Watchers — 1 watchers
Inputs used
forks3
stars24
watchers1
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 (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges1
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

75Good
How it's scored
60.2/80Monthly downloads — 32,981 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesgranular
dependents—
ecosystemspypi
total_downloads—
monthly_downloads32,981
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?

59Moderate · 23% of overall

Maintainer resilience (bus factor)

20At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
2.8/22.5Commit distribution — top contributor authored 88% of commits
2.7/13.5Contributor breadth — 2 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.875

Issue & PR responsiveness

58Moderate
How it's scored
0/42Issue resolution — no issues or no data
25.7/30PR acceptance — 12/14 decided PRs merged
6.5/13Newcomer PR acceptance — 1/2 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 5/30 approved changesets -- score normalized to 1
Inputs used
merged_prs12
open_issues0
closed_issues0
prs_merged_7d1
prs_decided_7d2
prs_merged_30d2
prs_decided_30d3
issue_closed_ratio—
closed_unmerged_prs2
first_time_authors_30d2
first_time_prs_merged_30d1
first_time_prs_decided_30d2
Excluded from scoring (no data or not applicable): Issue resolution. Remaining weights renormalized.

Ownership & stewardship

74Good
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
24.3/25Owner reach — 2,398 followers of danijar
25/25Track record — 99 public repos, account ~14 yr old
Inputs used
followers2,398
owner_typeUser
is_verified—
owner_logindanijar
public_repos99
account_age_days5,177
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 0 days ago
20/20Version history — 60 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgranular
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

74Good · 19% of overall

Engineering practices

74Good
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
10/20OpenSSF Scorecard: CI-Tests — 3 out of 6 merged PRs checked by a CI test -- score normalized to 5
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

75Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://pypi.org/project/granular
10/10Repository description
10/10Topics — 7 topics
10/10Wiki
Inputs used
topicsai, artificial-intelligence, datasets, machine-learning, multimodal, python, research
has_wikiyes
homepagehttps://pypi.org/project/granular
docs_sitehttps://pypi.org/project/granular
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

38Weak · 16% of overall

Security posture

31At Risk
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
1.2/2.5CI-Tests — 3 out of 6 merged PRs checked by a CI test -- score normalized to 5
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 5/30 approved changesets -- score normalized to 1
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
5.2/7.5Maintained — 9 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 7
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 38 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate3.1
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

64Moderate
How it's scored
14/35Direct dependencies free of known advisories — 1 affected: msgpack 1.1.2 (high 7.5)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
33.7/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 113 days ago
Inputs used
sourceosv
advisories75
affected_packages9
assessed_packages75
unassessed_packages0
affected_by_severitycritical 2, high 3, moderate 3, low 1
direct_affected_packages1
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 75 resolved dependencies against OSV. 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.

32At Risk · 4% of overall

Agent context & guidance

7Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
6.7/40Legible commit history — 11 of 88 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.125
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

43Weak
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 88
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/16 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes10,748
source_files_sampled16
oversized_source_files0

Key facts

24GitHub stars
2contributors
16commits, last 12 months
0days since last push
0releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:granular@0.24.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 3 ⇿
0Stars
3Forks

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.

12233312024-072025-082026-10

Each point covers 3 days.

OpenSSF Scorecard 3.1 / 10
3.1aggregate

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 · 2026-10-11 02:32 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
5CI-Tests3 out of 6 merged PRs checked by a CI test -- score normalized to 5
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 5/30 approved changesets -- score normalized to 1
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
7Maintained9 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 7
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities38 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIcloudpickle—pyproject.toml
PyPImsgpack—pyproject.toml
PyPInumpy—pyproject.toml
All dependencies 75

Full resolved dependency set from the GitHub dependency graph: 4 direct and 71 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcloudpickle3.1.2direct
PyPImsgpack1.1.2direct
PyPInumpy2.2.6direct
PyPInumpy2.4.0direct
PyPIasttokens3.0.1indirect
PyPIbackports-tarfile1.2.0indirect
PyPIcertifi2025.11.12indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIcolorama0.4.6indirect
PyPIcontourpy1.3.2indirect
PyPIcontourpy1.3.3indirect
PyPIcryptography46.0.3indirect
PyPIcycler0.12.1indirect
PyPIdecorator5.2.1indirect
PyPIdocutils0.22.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecuting2.2.1indirect
PyPIfonttools4.62.1indirect
PyPIgranular0.24.0indirect
PyPIgreenlet3.3.0indirect
PyPIid1.5.0indirect
PyPIidna3.11indirect
PyPIimportlib-metadata8.7.1indirect
PyPIiniconfig2.3.0indirect
PyPIipdb0.13.13indirect
PyPIipython8.37.0indirect
PyPIipython9.8.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.0.2indirect
PyPIjaraco-functools4.4.0indirect
PyPIjedi0.19.2indirect
PyPIjeepney0.9.0indirect
PyPIkeyring25.7.0indirect
PyPIkiwisolver1.5.0indirect
PyPImarkdown-it-py4.0.0indirect
PyPImatplotlib3.10.8indirect
PyPImatplotlib-inline0.2.1indirect
PyPImdurl0.1.2indirect
PyPImediapy1.2.6indirect
PyPImore-itertools10.8.0indirect
PyPIneovim0.3.1indirect
PyPInh30.3.2indirect
PyPIpackaging25.0indirect
PyPIparso0.8.5indirect
PyPIpexpect4.9.0indirect
PyPIpillow12.0.0indirect
PyPIpluggy1.6.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpycparser2.23indirect
PyPIpygments2.19.2indirect
PyPIpynvim0.6.0indirect
PyPIpyparsing3.3.2indirect
PyPIpytest9.0.2indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIreadme-renderer44.0indirect
PyPIrequests2.32.5indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich14.2.0indirect
PyPIruff0.14.10indirect
PyPIsecretstorage3.5.0indirect
PyPIsix1.17.0indirect
PyPIstack-data0.6.3indirect
PyPItomli2.3.0indirect
PyPItraitlets5.14.3indirect
PyPItwine6.2.0indirect
PyPItyping-extensions4.15.0indirect
PyPIurllib32.6.2indirect
PyPIwcwidth0.2.14indirect
PyPIzipp3.23.0indirect
Dependency advisories 9

This repository publishes no package the index resolves, so its own dependency graph was assessed — 75 packages, which also include development and test pins that never ship: 9 carry known advisories, of which 1 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
cryptography46.0.3indirectcritical1350.0.0
pillow12.0.0indirectcritical3812.3.0
msgpack1.1.2directhigh21.2.1
jaraco-context6.0.2indirecthigh26.1.0
urllib32.6.2indirecthigh122.8.0
idna3.11indirectmoderate23.15
pytest9.0.2indirectmoderate29.0.3
requests2.32.5indirectmoderate22.33.0
pygments2.19.2indirectlow22.20.0

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.

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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.