Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 22:37 UTC

docling-project / docling-ibm-models

PythonMIT★ 212 stars⑂ 85 forkssince Jul 2024View on GitHub ↗
KindLibraryhow this is determined

docling-project/docling-ibm-models holds a health index of 90 out of 100, placing it in the Excellent band. It scores highest on Vitality (83/100) and lowest on AI Readiness (61/100). It was last updated 7 days ago. 3 contributors account for most of its recent work.

90
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.

90
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 76 is calibrated to 90 on the published index scale (record calibration 2026-08-02).

Ownership

Docling ProjectOrganization
1,294 followers27 public repossince Nov 2024

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIdocling-ibm-models4.0.23,180,098647 days agodoclingconvertdocumentpdftable-structuretable-former

Metrics by category

Vitality

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

83Excellent · 21% of overall

Development activity

72Good
How it's scored
36/36Push recency — last push 7 days ago
11.1/36Commit cadence — 16/52 weeks with commits
15/18Commit volume — 46 commits in the last year
10/10OpenSSF Scorecard: Maintained — 18 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year46
human_commit_share0.62
days_since_last_push7
active_weeks_last_year16

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 62 releases published
36/36Release recency — latest release 7 days ago
27/27Release cadence — a release every ~19.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count62
latest_release_tagv4.0.2
releases_from_tagsno
days_since_latest_release7
mean_days_between_releases19.8
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?

80Excellent · 17% of overall

Popularity & adoption

58Moderate
How it's scored
37.7/60Stars — 212 stars
16/25Forks — 85 forks
3.9/15Watchers — 6 watchers
Inputs used
forks85
stars212
watchers6
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_badges8
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 3,180,098 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdocling-ibm-models
dependents—
ecosystemspypi
total_downloads—
monthly_downloads3,180,098
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?

77Good · 23% of overall

Maintainer resilience (bus factor)

75Good
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
15.7/22.5Commit distribution — top contributor authored 30% of commits
13.5/13.5Contributor breadth — 18 contributors
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled18
top_contributor_share0.302

Issue & PR responsiveness

70Good
How it's scored
32.8/42Issue resolution — 78% of issues closed
24.4/30PR acceptance — 109/134 decided PRs merged
3.7/13Newcomer PR acceptance — 2/7 first-time contributors' PRs merged in 30d
9/15OpenSSF Scorecard: Code-Review — Found 20/29 approved changesets -- score normalized to 6
Inputs used
merged_prs109
open_issues11
closed_issues39
prs_merged_7d0
prs_decided_7d0
prs_merged_30d11
prs_decided_30d20
issue_closed_ratio0.78
closed_unmerged_prs25
first_time_authors_30d7
first_time_prs_merged_30d2
first_time_prs_decided_30d7

Ownership & stewardship

67Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
22.4/25Owner reach — 1,294 followers of docling-project
14.2/25Track record — 27 public repos, account ~1 yr old
Inputs used
followers1,294
owner_typeOrganization
is_verifiedno
owner_logindocling-project
public_repos27
account_age_days665

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 7 days ago
20/20Version history — 64 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdocling-ibm-models
ecosystemspypi
any_deprecatedno
min_days_since_publish7

Engineering Quality

Are baseline engineering and documentation practices in place?

78Good · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.black], [tool.isort])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 21 out of 21 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

55Moderate
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
0/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

61Moderate · 16% of overall

Security posture

51Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 21 out of 21 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
4.5/7.5Code-Review — Found 20/29 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 8 contributing companies or organizations
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
7.5/7.5Maintained — 18 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
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
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 65 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.1
Excluded from scoring (no data or not applicable): 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_packages55
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:docling-ibm-models@4.0.2 runtime dependency closure — what installing the published package pulls in — 55 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.

61Moderate · 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 — 62 of 62 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)

54Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.black], [tool.isort])
11/11Static type checking — docling_ibm_models/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
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_configsdocling_ibm_models/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (docling_ibm_models/py.typed)
53.4/55Manageable file sizes — 1/34 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes62,984
source_files_sampled34
oversized_source_files1

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 — samples
Inputs used
example_dirssamples
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

212GitHub stars
18contributors
46commits, last 12 months
7days since last push
62releases
3bus factor
11open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 13 authors (cap 12)

More detail

Star and fork history 0 ★ / 85 ⇿
0Stars
85Forks
59Releases

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.

0204060801008232024-082025-082026-09
Major 3Minor 18Patch 38

Each point covers 2 days.

OpenSSF Scorecard 5.1 / 10
5.1aggregate

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 · 2026-09-10 22:36 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests21 out of 21 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 20/29 approved changesets -- score normalized to 6
10Contributorsproject has 8 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained18 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities65 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPItorch(>=2.2.2,<3.0.0)pyproject.toml
PyPItorchvision(>=0,<1)pyproject.toml
PyPIPillow(>=10.0.0,<13.0.0)pyproject.toml
PyPIhuggingface_hub(>=0.23,<2)pyproject.toml
PyPIsafetensors(>=0.4.3,<1)pyproject.toml
PyPItransformers(>=4.42.0,<6.0.0)pyproject.toml
PyPInumpy(>=1.24.4,<3.0.0)pyproject.toml
All dependencies 128

Full resolved dependency set from the GitHub dependency graph: 8 direct and 120 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIhuggingface-hub1.8.0direct
PyPInumpy2.2.6direct
PyPInumpy2.4.2direct
PyPIpillow12.1.1direct
PyPIsafetensors0.7.0direct
PyPItorch2.10.0direct
PyPItorchvision0.25.0direct
PyPItransformers5.8.1direct
PyPIannotated-doc0.0.4indirect
PyPIanyio4.13.0indirect
PyPIautoflake2.3.3indirect
PyPIbackports-tarfile1.2.0indirect
PyPIblack24.10.0indirect
PyPIcertifi2026.2.25indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIclick8.3.1indirect
PyPIclick-log0.4.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.13.4indirect
PyPIcryptography46.0.5indirect
PyPIcuda-bindings12.9.4indirect
PyPIcuda-pathfinder1.4.0indirect
PyPIdistlib0.4.0indirect
PyPIdocling-ibm-models4.0.2indirect
PyPIdocutils0.22.4indirect
PyPIdotty-dict1.3.1indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIfilelock3.25.0indirect
PyPIflake87.3.0indirect
PyPIflake8-docstrings1.7.0indirect
PyPIfsspec2025.3.0indirect
PyPIgitdb4.0.12indirect
PyPIgitpython3.1.46indirect
PyPIh110.16.0indirect
PyPIhf-xet1.4.2indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidentify2.6.17indirect
PyPIidna3.11indirect
PyPIimportlib-metadata8.7.1indirect
PyPIiniconfig2.3.0indirect
PyPIinvoke2.2.1indirect
PyPIisort5.13.2indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.0indirect
PyPIjaraco-functools4.4.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIkeyring25.7.0indirect
PyPIlibrt0.8.1indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImccabe0.7.0indirect
PyPImdurl0.1.2indirect
PyPImore-itertools10.8.0indirect
PyPImpmath1.3.0indirect
PyPImypy1.19.1indirect
PyPImypy-extensions1.1.0indirect
PyPInetworkx3.4.2indirect
PyPInetworkx3.6.1indirect
PyPInh30.3.3indirect
PyPInodeenv1.10.0indirect
PyPInvidia-cublas-cu1212.8.4.1indirect
PyPInvidia-cuda-cupti-cu1212.8.90indirect
PyPInvidia-cuda-nvrtc-cu1212.8.93indirect
PyPInvidia-cuda-runtime-cu1212.8.90indirect
PyPInvidia-cudnn-cu129.10.2.21indirect
PyPInvidia-cufft-cu1211.3.3.83indirect
PyPInvidia-cufile-cu121.13.1.3indirect
PyPInvidia-curand-cu1210.3.9.90indirect
PyPInvidia-cusolver-cu1211.7.3.90indirect
PyPInvidia-cusparse-cu1212.5.8.93indirect
PyPInvidia-cusparselt-cu120.7.1indirect
PyPInvidia-nccl-cu122.27.5indirect
PyPInvidia-nvjitlink-cu1212.8.93indirect
PyPInvidia-nvshmem-cu123.4.5indirect
PyPInvidia-nvtx-cu1212.8.90indirect
PyPIopencv-python4.13.0.92indirect
PyPIopencv-python-headless4.13.0.92indirect
PyPIpackaging26.0indirect
PyPIpathspec1.0.4indirect
PyPIpkginfo1.12.1.2indirect
PyPIplatformdirs4.9.2indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit3.8.0indirect
PyPIpycodestyle2.14.0indirect
PyPIpycparser3.0indirect
PyPIpydocstyle6.3.0indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.19.2indirect
PyPIpytest8.4.2indirect
PyPIpytest-cov7.0.0indirect
PyPIpytest-dependency0.6.1indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-discovery1.1.0indirect
PyPIpython-gitlab3.15.0indirect
PyPIpython-semantic-release7.34.6indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIreadme-renderer44.0indirect
PyPIregex2026.2.28indirect
PyPIrequests2.32.5indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich14.3.3indirect
PyPIsecretstorage3.5.0indirect
PyPIsemver2.13.0indirect
PyPIsetuptools82.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsmmap5.0.2indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsympy1.14.0indirect
PyPItokenizers0.22.2indirect
PyPItomli2.4.0indirect
PyPItomlkit0.14.0indirect
PyPItqdm4.67.3indirect
PyPItriton3.6.0indirect
PyPItwine3.8.0indirect
PyPItyper0.21.2indirect
PyPItypes-setuptools70.3.0.20240710indirect
PyPItyping-extensions4.15.0indirect
PyPIurllib32.6.3indirect
PyPIvirtualenv21.1.0indirect
PyPIwheel0.46.3indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:docling-ibm-models@4.0.2 pulls in 55 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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