Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-04 22:58 UTC

opendatalab / MinerU

Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.

PythonCustom license★ 76,773 stars⑂ 6,452 forkssince Feb 2024View on GitHub ↗
KindCommand-line toolNetwork serviceLibraryhow this is determined
#extract-data#layout-analysis#ocr#parser#pdf#pdf-converter#python#document-analysis#pdf-parser#pdf-extractor-llm#pdf-extractor-pretrain#pdf-extractor-rag#ai4science#docx#pptx#xlsx

opendatalab/MinerU holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Vitality (93/100) and lowest on AI Readiness (39/100). It was last updated 5 days ago. A single contributor accounts for most of its recent work.

89
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.

89
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 75 is calibrated to 89 on the published index scale (record calibration 2026-08-02).

Ownership

OpenDataLabOrganization
2,970 followers67 public repossince Jan 2022

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImineru3.4.4313,2598325 days agominerumagic-pdfdocument-parsingdocument-understandingpdfmarkdownocrvlmdocxpptxxlsxmultimodal

Metrics by category

Vitality

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

93Exceptional · 21% of overall

Development activity

95Exceptional
How it's scored
36/36Push recency — last push 5 days ago
31.2/36Commit cadence — 45/52 weeks with commits
18/18Commit volume — 2,101 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year2,101
human_commit_share1
days_since_last_push5
active_weeks_last_year45

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 5 days ago
27/27Release cadence — a release every ~4.7 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv4.0.0a5
releases_from_tagsno
days_since_latest_release5
mean_days_between_releases4.7

Community & Adoption

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

80Excellent · 17% of overall

Popularity & adoption

98Exceptional
How it's scored
60/60Stars — 76,773 stars
25/25Forks — 6,452 forks
13.5/15Watchers — 273 watchers
Inputs used
forks6,452
stars76,773
watchers273
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

51Moderate
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges12
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

92Excellent
How it's scored
73.3/80Monthly downloads — 313,259 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmineru
dependents—
ecosystemspypi
total_downloads—
monthly_downloads313,259
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?

73Good · 23% of overall

Maintainer resilience (bus factor)

34At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.8/22.5Commit distribution — top contributor authored 92% of commits
13.5/13.5Contributor breadth — 70 contributors
10/10OpenSSF Scorecard: Contributors — project has 7 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled70
top_contributor_share0.918

Issue & PR responsiveness

77Good
How it's scored
41.2/42Issue resolution — 98% of issues closed
26.7/30PR acceptance — 1,536/1,729 decided PRs merged
8.7/13Newcomer PR acceptance — 6/9 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/19 approved changesets -- score normalized to 0
Inputs used
merged_prs1,536
open_issues43
closed_issues2,278
prs_merged_7d0
prs_decided_7d0
prs_merged_30d13
prs_decided_30d16
issue_closed_ratio0.981
closed_unmerged_prs193
first_time_authors_30d4
first_time_prs_merged_30d6
first_time_prs_decided_30d9

Ownership & stewardship

96Exceptional
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
25/25Owner reach — 2,970 followers of opendatalab
22.1/25Track record — 67 public repos, account ~4 yr old
Inputs used
followers2,970
owner_typeOrganization
is_verified—
owner_loginopendatalab
public_repos67
account_age_days1,666
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 25 days ago
20/20Version history — 83 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmineru
ecosystemspypi
any_deprecatedno
min_days_since_publish25

Engineering Quality

Are baseline engineering and documentation practices in place?

77Good · 19% of overall

Engineering practices

68Good
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 16 out of 16 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://opendatalab.github.io/MinerU/
10/10Repository description
10/10Topics — 16 topics
0/10Wiki
Inputs used
topicsextract-data, layout-analysis, ocr, parser, pdf, pdf-converter, python, document-analysis, pdf-parser, pdf-extractor-llm, pdf-extractor-pretrain, pdf-extractor-rag, ai4science, docx, pptx, xlsx
has_wikino
homepagehttps://opendatalab.github.io/MinerU/
docs_sitehttps://opendatalab.github.io/MinerU/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

58Moderate · 16% of overall

Security posture

47Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 16 out of 16 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
0/7.5Code-Review — Found 0/19 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 7 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
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10
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
5/5Security-Policy — security policy file 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_aggregate4.7
Excluded from scoring (no data or not applicable): Packaging. 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_packages67
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:mineru@3.4.4 runtime dependency closure — what installing the published package pulls in — 67 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.

39Weak · 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 — 93 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.93
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

32At Risk
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile
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
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

53Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
53/55Manageable file sizes — 8/222 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes140,821
source_files_sampled222
oversized_source_files8

Key facts

76,773GitHub stars
70contributors
2,101commits, last 12 months
5days since last push
100releases
1bus factor
43open 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 ★ / 6,452 ⇿
0Stars
6,452Forks
15Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

5,0005,5006,0006,5006,452732026-052026-072026-08
Major 0Minor 0Patch 0
OpenSSF Scorecard 4.7 / 10
4.7aggregate

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 · 2026-08-04 22:58 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests16 out of 16 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/19 approved changesets -- score normalized to 0
10Contributorsproject has 7 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10
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
10Security-Policysecurity policy file 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 29
RegistryPackageVersion constraintManifest
PyPIclick>=8.1.7pyproject.toml
PyPIloguru>=0.7.2pyproject.toml
PyPInumpy>=1.21.6pyproject.toml
PyPItqdm>=4.67.1pyproject.toml
PyPIrequests—pyproject.toml
PyPIhttpx—pyproject.toml
PyPIpillow>=11.0.0pyproject.toml
PyPIpypdfium2>=4.30.0,<6.0.0pyproject.toml
PyPIpypdf>=5.6.0pyproject.toml
PyPIreportlab—pyproject.toml
PyPIpdftext>=0.6.3,<0.8.0pyproject.toml
PyPImodelscope>=1.26.0pyproject.toml
PyPIhuggingface-hub>=0.32.4pyproject.toml
PyPIjson-repair>=0.46.2pyproject.toml
PyPIopencv-python>=4.11.0.86pyproject.toml
PyPIfast-langdetect>=0.2.3,<0.3.0pyproject.toml
PyPIopenai>=1.70.0,<3pyproject.toml
PyPIbeautifulsoup4>=4.13.5,<5pyproject.toml
PyPImagika>=0.6.2,<1.1.0pyproject.toml
PyPImineru-vl-utils>=1.0.5,<2pyproject.toml
PyPIpython-docx>=1.2.0,<2pyproject.toml
PyPIpypptx-with-oxml>=1.0.3,<2pyproject.toml
PyPImammoth>=1.11.0,<2pyproject.toml
PyPIpylatexenc>=2.10,<3pyproject.toml
PyPIlxml>=4.0.0,<7.0.0pyproject.toml
PyPIopenpyxl>=3.1.5,<4pyproject.toml
PyPIfastapi—pyproject.toml
PyPIpython-multipart—pyproject.toml
PyPIuvicorn—pyproject.toml
All dependencies 45

Full resolved dependency set from the GitHub dependency graph: 23 direct and 22 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbeautifulsoup4—direct
PyPIclick—direct
PyPIfast-langdetect—direct
PyPIhuggingface-hub—direct
PyPIjson-repair—direct
PyPIloguru—direct
PyPIlxml—direct
PyPImagika—direct
PyPImammoth—direct
PyPImineru-vl-utils—direct
PyPImodelscope—direct
PyPInumpy—direct
PyPIopenai—direct
PyPIopencv-python—direct
PyPIopenpyxl—direct
PyPIpdftext—direct
PyPIpillow—direct
PyPIpylatexenc—direct
PyPIpypdf—direct
PyPIpypdfium2—direct
PyPIpypptx-with-oxml—direct
PyPIpython-docx—direct
PyPItqdm—direct
PyPIaccelerate—indirect
PyPIboto3—indirect
PyPIftfy—indirect
PyPIgradio—indirect
PyPIgradio-pdf—indirect
PyPIlmdeploy—indirect
PyPImarkdown-gfm-admonition—indirect
PyPImkdocs—indirect
PyPImkdocs-static-i18n—indirect
PyPImkdocs-video—indirect
PyPImlx—indirect
PyPImlx-vlm—indirect
PyPIonnxruntime—indirect
PyPIpyclipper—indirect
PyPIpyyaml—indirect
PyPIqwen-vl-utils—indirect
PyPIsafetensors—indirect
PyPIsetuptools—indirect
PyPIshapely—indirect
PyPItorch—indirect
PyPItransformers—indirect
PyPIvllm—indirect
Dependency advisories 0

Installing pypi:mineru@3.4.4 pulls in 67 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

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 v0.31.0 — full methodology · metrics wiki.

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