Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-28 10:04 UTC

theolivenbaum / PaddleOCR

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

Python · C#Apache-2.0★ 0 stars⑂ 0 forkssince Aug 2026forkView on GitHub ↗

KindMCP serverCommand-line toolMobile applicationLibraryhow this is determined

theolivenbaum/PaddleOCR holds a health index of 53 out of 100, placing it in the Moderate band. It scores highest on AI Readiness (89/100) and lowest on Community & Adoption (12/100). It was last updated today. 4 contributors account for most of its recent work.

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.

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)

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 52 is calibrated to 53 on the published index scale (record calibration 2026-08-02).

Ownership

theolivenbaumPersonal account

79 followers514 public repossince Sep 2014@curiosity-ai

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

Package ecosystems

Registry	Package	Version	Downloads / mo	Versions	Last publish	Tags
PyPI	paddleocrpoints to another repo — not scored	3.7.0	2,529,617	65	77 days ago	ocr textdetection textrecognition paddleocr chineseocr pp-ocr pp-structure document-parsing pdf2markdown doc2markdown docx2markdown kie pp-chatocr document-translation rag
PyPI	paddleocr_mcp	0.8.5	7,399	13	78 days ago	—
PyPI	langchain-paddleocrpoints to another repo — not scored	0.2.2	92	4	77 days ago	—

Metrics by category

Vitality

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

56Moderate · 21% of overall

Development activity

92Excellent

How it's scored

36/36	Push recency — last push 0 days ago
29.1/36	Commit cadence — 42/52 weeks with commits
18/18	Commit volume — 253 commits in the last year
0/10	OpenSSF Scorecard: Maintained — no data

Inputs used

commits_last_year	253
human_commit_share	1
days_since_last_push	0
active_weeks_last_year	42

Release discipline

1Critical

How it's scored

0/27	Ships releases — no releases published
0/36	Release recency — no releases
0/27	Release cadence — no releases
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count

Community & Adoption

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

12Critical · 17% of overall

Popularity & adoption

1Critical

How it's scored

0/60	Stars — 0 stars
0/25	Forks — 0 forks
0/15	Watchers — 0 watchers

Inputs used

forks	0
stars	0
watchers	0
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

25At Risk

How it's scored

0/22.5	README
22.5/22.5	License — recognized license (Apache-2.0)
0/18	CONTRIBUTING guide
0/13.5	Code of conduct
0/7.2	Issue template
0/6.3	PR template

Inputs used

has_readme	no
has_license	no
readme_badges	4
has_contributing	no
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	shields.io
has_pull_request_template	no

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

85Excellent · 23% of overall

Maintainer resilience (bus factor)

83Excellent

How it's scored

43.2/54	Bus factor — 4 contributor(s) cover half of all commits
18.2/22.5	Commit distribution — top contributor authored 19% of commits
13.5/13.5	Contributor breadth — 99 contributors
0/10	OpenSSF Scorecard: Contributors — no data

Inputs used

bus_factor	4
contributors_sampled	99
top_contributor_share	0.189

Issue & PR responsiveness

100Exceptional

How it's scored

0/42	Issue resolution — no issues or no data
30/30	PR acceptance — 3/3 decided PRs merged
13/13	Newcomer PR acceptance — 3/3 first-time contributors' PRs merged in 30d
0/15	OpenSSF Scorecard: Code-Review — no data

Inputs used

merged_prs	3
open_issues	0
closed_issues	0
prs_merged_7d	3
prs_decided_7d	3
prs_merged_30d	3
prs_decided_30d	3
issue_closed_ratio	—
closed_unmerged_prs	0
first_time_authors_30d	1
first_time_prs_merged_30d	3
first_time_prs_decided_30d	3

Excluded from scoring (no data or not applicable): Issue resolution. Remaining weights renormalized.

Ownership & stewardship

61Moderate

How it's scored

10/30	Ownership backing — personal (user) account
0/20	Verified domain — not applicable to user accounts
13.7/25	Owner reach — 79 followers of theolivenbaum
25/25	Track record — 514 public repos, account ~11 yr old

Inputs used

followers	79
owner_type	User
is_verified	—
owner_login	theolivenbaum
public_repos	514
account_age_days	4,363

Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 78 days ago
20/20	Version history — 13 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	paddleocr_mcp
ecosystems	pypi
any_deprecated	no
min_days_since_publish	78

Engineering Quality

Are baseline engineering and documentation practices in place?

46Weak · 19% of overall

Engineering practices

50Moderate

How it's scored

0/24	CI workflows
24/24	Tests present
16/16	Linter config — eslint.config.js, langchain-paddleocr/pyproject.toml ([tool.ruff])
0/9.6	Pre-commit hooks
0/6.4	.editorconfig
0/20	OpenSSF Scorecard: CI-Tests — no data

Inputs used

has_ci	no
has_tests	yes
has_editorconfig	no
has_linter_config	yes
has_precommit_config	no

Documentation

40Weak

How it's scored

0/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://www.paddleocr.com
0/10	Repository description
0/10	Topics
0/10	Wiki

Inputs used

topics	—
has_wiki	no
homepage	https://www.paddleocr.com
docs_site	https://www.paddleocr.com
has_readme	no
has_docs_dir	yes
has_description	no

Security

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

40Weak · 16% of overall

Security posture

25At Risk

How it's scored

0/30	Security policy (SECURITY.md)
0/25	Dependabot config
25/25	Dependency lockfiles — package-lock.json, uv.lock
0/20	CodeQL workflow

Inputs used

source	file_signals
lockfiles	package-lock.json, uv.lock
manifests	langchain-paddleocr/pyproject.toml, mcp_server/pyproject.toml, paddleocr-js/package.json, pyproject.toml, requirements.txt, setup.py
has_codeql_workflow	no
has_security_policy	no
has_dependabot_config	no

Dependency advisories

100Exceptional

How it's scored

35/35	Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25	Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40	No advisories left outstanding — no advisory carries a publication date

Inputs used

source	osv
advisories	0
affected_packages	0
assessed_packages	58
unassessed_packages	0
affected_by_severity	none
direct_affected_packages	0

Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:paddleocr@3.7.0 runtime dependency closure — what installing the published package pulls in — 58 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.

89Excellent · 4% of overall

Agent context & guidance

85Excellent

How it's scored

45/45	Agent instructions — CLAUDE.md
0/15	Machine-readable docs (llms.txt)
40/40	Legible commit history — 95 of 100 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.95
agent_instruction_files	CLAUDE.md
agent_instruction_max_bytes	21,612

Verify loop (build / test / typecheck)

91Excellent

How it's scored

18/18	One-command bootstrap — deploy/avh/Makefile, deploy/lite/Makefile, langchain-paddleocr/Makefile
22/22	Automated tests
11/11	Lint / format config — eslint.config.js, langchain-paddleocr/pyproject.toml ([tool.ruff])
11/11	Static type checking — api_sdk/typescript/tsconfig.json, langchain-paddleocr/langchain_paddleocr/py.typed, mcp_server/paddleocr_mcp/py.typed, paddleocr-js/apps/demo/tsconfig.json, paddleocr-js/packages/core/tsconfig.json, paddleocr-js/tsconfig.json
10/10	Reproducible environment — Dockerfile, lockfile
10/10	Demonstrated agent practice — 45 of the last 100 commits agent-authored or agent-credited
0/8	Automated maintenance — no automated dependency updates observed
0/10	OpenSSF Scorecard: Pinned-Dependencies — no data

Inputs used

has_nix	no
has_tests	yes
lockfiles	package-lock.json, uv.lock
has_dockerfile	yes
typed_language	no
bootstrap_files	deploy/avh/Makefile, deploy/lite/Makefile, langchain-paddleocr/Makefile
has_devcontainer	no
has_linter_config	yes
typecheck_configs	api_sdk/typescript/tsconfig.json, langchain-paddleocr/langchain_paddleocr/py.typed, mcp_server/paddleocr_mcp/py.typed, paddleocr-js/apps/demo/tsconfig.json, paddleocr-js/packages/core/tsconfig.json, paddleocr-js/tsconfig.json
agent_commit_share	0.45
toolchain_manifests	api_sdk/go/go.mod, deploy/android_demo/app/build.gradle, deploy/android_demo/build.gradle, deploy/ppocr-android/app/build.gradle.kts, deploy/ppocr-android/build.gradle.kts, deploy/ppocr-android/ppocr-sdk/build.gradle.kts, dotnet/src/PaddleOcrSharp.Cli/PaddleOcrSharp.Cli.csproj, dotnet/src/PaddleOcrSharp.Pdf/PaddleOcrSharp.Pdf.csproj, dotnet/src/PaddleOcrSharp/PaddleOcrSharp.csproj, dotnet/tests/PaddleOcrSharp.Tests/PaddleOcrSharp.Tests.csproj
dependency_bot_commit_share	0

Code legibility for models

82Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (api_sdk/typescript/tsconfig.json, langchain-paddleocr/langchain_paddleocr/py.typed, mcp_server/paddleocr_mcp/py.typed, paddleocr-js/apps/demo/tsconfig.json, paddleocr-js/packages/core/tsconfig.json, paddleocr-js/tsconfig.json)
54.7/55	Manageable file sizes — 6/1,053 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	319,741
source_files_sampled	1,053
oversized_source_files	6

Machine-readable interfaces

100Exceptional

How it's scored

0/40	API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20	MCP server
40/40	Runnable examples — examples

Inputs used

example_dirs	examples
has_mcp_signal	yes
api_schema_files	—
interfaces_expected_of	—

Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

0GitHub stars

99contributors

253commits, last 12 months

0days since last push

0releases

4bus factor

0open issues

npm, PyPIpackage ecosystems

Data collection warnings

Community profile unavailable
pypi package 'paddleocr' points at a different repository (https://github.com/PaddlePaddle/PaddleOCR.git); excluded from ecosystem scoring
pypi package 'langchain-paddleocr' points at a different repository (https://github.com/PaddlePaddle/PaddleOCR); excluded from ecosystem scoring
GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
OpenSSF Scorecard did not return a usable result (killed by SIGKILL — most likely the container's memory limit; 2026/08/28 10:02:59 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks

More detail

Direct dependencies 16

Registry	Package	Version constraint	Manifest
PyPI	paddleocr	`>=3.7.0`	langchain-paddleocr/pyproject.toml
PyPI	langchain-core	`>=1.2.5,<2.0.0`	langchain-paddleocr/pyproject.toml
PyPI	pydantic	`>=2.0.0,<3.0.0`	langchain-paddleocr/pyproject.toml
PyPI	mcp	`>=1.5.0`	mcp_server/pyproject.toml
PyPI	fastmcp	`>=2.0.0`	mcp_server/pyproject.toml
PyPI	httpx	`>=0.24.0`	mcp_server/pyproject.toml
PyPI	numpy	`>=1.24.0`	mcp_server/pyproject.toml
PyPI	paddleocr	`>=3.7.0`	mcp_server/pyproject.toml
PyPI	pillow	`>=9.0.0`	mcp_server/pyproject.toml
PyPI	puremagic	`>=1.30.0`	mcp_server/pyproject.toml
PyPI	typing-extensions	`>=4.0.0`	mcp_server/pyproject.toml
PyPI	paddlex	`>=3.7.0,<3.8.0`	pyproject.toml
PyPI	PyYAML	`>=6`	pyproject.toml
PyPI	requests	`—`	pyproject.toml
PyPI	aiohttp	`>=3.8.0`	pyproject.toml
PyPI	typing-extensions	`>=4.12`	pyproject.toml

All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Dependency advisories 0

Installing pypi:paddleocr@3.7.0 pulls in 58 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.

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.

Software health index

Score profile

Ownership

Package ecosystems

Metrics by category

Key facts

Data collection warnings

More detail

Feedback

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