Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 10:38 UTC

Unstructured-IO / unstructured-inference

PythonApache-2.0★ 209 stars⑂ 73 forkssince Dec 2022View on GitHub ↗
KindLibraryhow this is determined

Unstructured-IO/unstructured-inference holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Sustainability & Governance (81/100) and lowest on Security (46/100). It was last updated 22 days ago. 4 contributors account for most of its recent work.

84
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.

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

Ownership

UnstructuredOrganization
1,517 followers46 public repossince Jun 2022

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIunstructured_inference1.6.13808,23212492 days agocvhtmlnlppdfxmlparsingpreprocessing

Metrics by category

Vitality

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

74Good · 21% of overall

Development activity

64Moderate
How it's scored
28.8/36Push recency — last push 22 days ago
13.8/36Commit cadence — 20/52 weeks with commits
14.9/18Commit volume — 45 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year45
human_commit_share1
days_since_last_push22
active_weeks_last_year20

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
27/36Release recency — latest release 92 days ago
27/27Release cadence — a release every ~7.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv1.6.13
releases_from_tagsno
days_since_latest_release92
mean_days_between_releases7.7

Community & Adoption

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

78Good · 17% of overall

Popularity & adoption

60Moderate
How it's scored
37.6/60Stars — 209 stars
15.5/25Forks — 73 forks
6.7/15Watchers — 17 watchers
Inputs used
forks73
stars209
watchers17
growth_stateorganic
growth_factor_pct100

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

98Exceptional
How it's scored
78.8/80Monthly downloads — 808,232 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesunstructured_inference
dependents—
ecosystemspypi
total_downloads—
monthly_downloads808,232
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?

81Excellent · 23% of overall

Maintainer resilience (bus factor)

81Excellent
How it's scored
43.2/54Bus factor — 4 contributor(s) cover half of all commits
16.6/22.5Commit distribution — top contributor authored 26% of commits
13.5/13.5Contributor breadth — 39 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor4
contributors_sampled39
top_contributor_share0.264

Issue & PR responsiveness

73Good
How it's scored
27.4/42Issue resolution — 65% of issues closed
22/30PR acceptance — 309/421 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs309
open_issues25
closed_issues47
prs_merged_7d0
prs_decided_7d0
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio0.653
closed_unmerged_prs112
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1

Ownership & stewardship

74Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
22.9/25Owner reach — 1,517 followers of Unstructured-IO
20.6/25Track record — 46 public repos, account ~4 yr old
Inputs used
followers1,517
owner_typeOrganization
is_verifiedno
owner_loginUnstructured-IO
public_repos46
account_age_days1,536

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 92 days ago
20/20Version history — 124 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesunstructured_inference
ecosystemspypi
any_deprecatedno
min_days_since_publish92

Engineering Quality

Are baseline engineering and documentation practices in place?

71Good · 19% of overall

Engineering practices

92Excellent
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

40Weak
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
0/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionno

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
lockfilesuv.lock
manifestspyproject.toml
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_packages81
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:unstructured_inference@1.6.13 runtime dependency closure — what installing the published package pulls in — 81 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.

69Good · 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 — 100 of 100 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)

84Excellent
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 6 of the last 100 commits agent-authored or agent-credited
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.06
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 — 0/41 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes59,969
source_files_sampled41
oversized_source_files0

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
Inputs used
example_dirsexamples
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

209GitHub stars
39contributors
45commits, last 12 months
22days since last push
100releases
4bus factor
25open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-06-15: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 209 stars today.
  • OpenSSF Scorecard did not return a usable result (killed by SIGKILL — most likely the container's memory limit); skipping Scorecard checks

More detail

Star and fork history 209 ★ / 73 ⇿
209Stars
73Forks
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.

Star history is shown as collected on 2026-06-15. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

0408012016020024020971102022-122024-092026-06
Major 0Minor 7Patch 93

Each point covers 4 days.

Direct dependencies 15
RegistryPackageVersion constraintManifest
PyPIhuggingface-hub>=0.22.0pyproject.toml
PyPInumpy>=1.26.0pyproject.toml
PyPIopencv-python>=4.13.0.90pyproject.toml
PyPIonnx>=1.20.1pyproject.toml
PyPIonnxruntime>=1.25.0pyproject.toml
PyPImatplotlib>=3.10.8pyproject.toml
PyPItorch>=2.10.0pyproject.toml
PyPItimm>=1.0.24pyproject.toml
PyPItransformers>=4.25.1pyproject.toml
PyPIaccelerate>=1.12.0pyproject.toml
PyPIrapidfuzz>=3.14.3pyproject.toml
PyPIpandas>=1.5.0pyproject.toml
PyPIscipy>=1.17.0pyproject.toml
PyPIpypdfium2>=5.0.0pyproject.toml
PyPIpdfminer.six>=20231228pyproject.toml
All dependencies 194

Full resolved dependency set from the GitHub dependency graph: 15 direct and 179 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaccelerate1.13.0direct
PyPIhuggingface-hub1.10.1direct
PyPImatplotlib3.10.8direct
PyPInumpy2.4.4direct
PyPIonnx1.21.0direct
PyPIonnxruntime1.25.0direct
PyPIopencv-python4.13.0.92direct
PyPIpandas3.0.2direct
PyPIpdfminer-six20260107direct
PyPIpypdfium25.7.0direct
PyPIrapidfuzz3.14.5direct
PyPIscipy1.17.1direct
PyPItimm1.0.26direct
PyPItorch2.11.0direct
PyPItransformers5.5.3direct
PyPIannotated-doc0.0.4indirect
PyPIanyio4.13.0indirect
PyPIappnope0.1.4indirect
PyPIargon2-cffi25.1.0indirect
PyPIargon2-cffi-bindings25.1.0indirect
PyPIarrow1.4.0indirect
PyPIasttokens3.0.1indirect
PyPIasync-lru2.3.0indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbeautifulsoup44.14.3indirect
PyPIbleach6.3.0indirect
PyPIcertifi2026.2.25indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.3.2indirect
PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
PyPIcontourpy1.3.3indirect
PyPIcoverage7.13.5indirect
PyPIcryptography46.0.7indirect
PyPIcuda-bindings13.2.0indirect
PyPIcuda-pathfinder1.5.2indirect
PyPIcuda-toolkit13.0.2indirect
PyPIcycler0.12.1indirect
PyPIdebugpy1.8.20indirect
PyPIdecorator5.2.1indirect
PyPIdefusedxml0.7.1indirect
PyPIdocutils0.22.4indirect
PyPIexecnet2.1.2indirect
PyPIexecuting2.2.1indirect
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PyPIfonttools4.62.1indirect
PyPIfqdn1.5.1indirect
PyPIfsspec2026.3.0indirect
PyPIh110.16.0indirect
PyPIhatchling—indirect
PyPIhf-xet1.4.3indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIid1.6.1indirect
PyPIidna3.11indirect
PyPIimportlib-metadata9.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIipykernel7.2.0indirect
PyPIipython9.12.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIipywidgets8.1.8indirect
PyPIisoduration20.11.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.4.0indirect
PyPIjedi0.19.2indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjson50.14.0indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter1.1.1indirect
PyPIjupyter-client8.8.0indirect
PyPIjupyter-console6.6.3indirect
PyPIjupyter-core5.9.1indirect
PyPIjupyter-events0.12.0indirect
PyPIjupyter-lsp2.3.1indirect
PyPIjupyter-server2.17.0indirect
PyPIjupyter-server-terminals0.5.4indirect
PyPIjupyterlab4.5.6indirect
PyPIjupyterlab-pygments0.3.0indirect
PyPIjupyterlab-server2.28.0indirect
PyPIjupyterlab-widgets3.0.16indirect
PyPIkeyring25.7.0indirect
PyPIkiwisolver1.5.0indirect
PyPIlark1.3.1indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.1indirect
PyPImdurl0.1.2indirect
PyPImistune3.2.0indirect
PyPIml-dtypes0.5.4indirect
PyPImore-itertools11.0.2indirect
PyPImpmath1.3.0indirect
PyPInbclient0.10.4indirect
PyPInbconvert7.17.1indirect
PyPInbformat5.10.4indirect
PyPInest-asyncio1.6.0indirect
PyPInetworkx3.6.1indirect
PyPInh30.3.4indirect
PyPInltk—indirect
PyPInotebook7.5.5indirect
PyPInotebook-shim0.2.4indirect
PyPInvidia-cublas13.1.0.3indirect
PyPInvidia-cuda-cupti13.0.85indirect
PyPInvidia-cuda-nvrtc13.0.88indirect
PyPInvidia-cuda-runtime13.0.96indirect
PyPInvidia-cudnn-cu139.19.0.56indirect
PyPInvidia-cufft12.0.0.61indirect
PyPInvidia-cufile1.15.1.6indirect
PyPInvidia-curand10.4.0.35indirect
PyPInvidia-cusolver12.0.4.66indirect
PyPInvidia-cusparse12.6.3.3indirect
PyPInvidia-cusparselt-cu130.8.0indirect
PyPInvidia-nccl-cu132.28.9indirect
PyPInvidia-nvjitlink13.0.88indirect
PyPInvidia-nvshmem-cu133.4.5indirect
PyPInvidia-nvtx13.0.85indirect
PyPIoverrides7.7.0indirect
PyPIpackaging26.0indirect
PyPIpandocfilters1.5.1indirect
PyPIparso0.8.6indirect
PyPIpdf2image1.17.0indirect
PyPIpexpect4.9.0indirect
PyPIpillow12.2.0indirect
PyPIplatformdirs4.9.6indirect
PyPIpluggy1.6.0indirect
PyPIprometheus-client0.24.1indirect
PyPIprompt-toolkit3.0.52indirect
PyPIprotobuf7.34.1indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpycparser3.0indirect
PyPIpygments2.20.0indirect
PyPIpyparsing3.3.2indirect
PyPIpytest9.0.3indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-mock3.15.1indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-json-logger4.1.0indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpywinpty3.0.3indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIreadme-renderer44.0indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.4.4indirect
PyPIrequests2.33.1indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc39862.0.0indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrich14.3.3indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.15.10indirect
PyPIsafetensors0.7.0indirect
PyPIsecretstorage3.5.0indirect
PyPIsend2trash2.1.0indirect
PyPIsetuptools81.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsoupsieve2.8.3indirect
PyPIstack-data0.6.3indirect
PyPIsympy1.14.0indirect
PyPIterminado0.18.1indirect
PyPItinycss21.4.0indirect
PyPItokenizers0.22.2indirect
PyPItomli2.4.1indirect
PyPItorchvision0.26.0indirect
PyPItornado6.5.5indirect
PyPItqdm4.67.3indirect
PyPItraitlets5.14.3indirect
PyPItriton3.6.0indirect
PyPItwine6.2.0indirect
PyPItyper0.24.1indirect
PyPItyping-extensions4.15.0indirect
PyPItzdata2026.1indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.6.3indirect
PyPIwcwidth0.6.0indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwidgetsnbextension4.0.15indirect
PyPIzipp3.23.1indirect
Dependency advisories 0

Installing pypi:unstructured_inference@1.6.13 pulls in 81 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.