Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-19 00:45 UTC

PaddlePaddle / PaddleMIX

Paddle Multimodal Integration and eXploration, supporting mainstream multi-modal tasks, including end-to-end large-scale multi-modal pretrain models and diffusion model toolbox. Equipped with high performance and flexibility.

Python · Jupyter NotebookApache-2.0★ 723 stars⑂ 223 forkssince Jul 2023View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#aigc#stable-diffusion#clip#image-to-text#text-to-image#ppdiffusers#controlnet#multimodal#eva-clip#sd-xl#text-to-video#dit#llava#sora#stablevideodiffusion#internvl2#qwen2-vl#minicpm-v#got-ocr20#deepseek-vl

PaddlePaddle/PaddleMIX holds a health index of 53 out of 100, placing it in the Moderate band. It scores highest on Sustainability & Governance (79/100) and lowest on Security (10/100). It was last updated 196 days ago. 6 contributors account for most of its recent work.

53
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.

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

Ownership

PaddlePaddleOrganization
7,284 followers109 public repossince Nov 2016

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIppdiffusers0.29.01,28319700 days agoppdiffuserspaddlepaddlemix

Metrics by category

Vitality

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

30At Risk · 21% of overall

Development activity

15Critical
How it's scored
3.6/36Push recency — last push 196 days ago
2.8/36Commit cadence — 4/52 weeks with commits
7/18Commit volume — 5 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year5
human_commit_share1
days_since_last_push196
active_weeks_last_year4

Release discipline

52Moderate
How it's scored
27/27Ships releases — 3 releases published
7.2/36Release recency — latest release 497 days ago
12.6/27Release cadence — a release every ~141.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count3
latest_release_tagv3.0.0-beta
releases_from_tagsno
days_since_latest_release497
mean_days_between_releases141.9

Community & Adoption

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

60Moderate · 17% of overall

Popularity & adoption

74Good
How it's scored
46.4/60Stars — 723 stars
19.6/25Forks — 223 forks
7.5/15Watchers — 23 watchers
Inputs used
forks223
stars723
watchers23
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 (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

52Moderate
How it's scored
41.4/80Monthly downloads — 1,283 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesppdiffusers
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,283
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?

79Good · 23% of overall

Maintainer resilience (bus factor)

91Excellent
How it's scored
48.6/54Bus factor — 6 contributor(s) cover half of all commits
19.6/22.5Commit distribution — top contributor authored 13% of commits
13.5/13.5Contributor breadth — 92 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor6
contributors_sampled92
top_contributor_share0.131

Issue & PR responsiveness

63Moderate
How it's scored
20.3/42Issue resolution — 48% of issues closed
25.2/30PR acceptance — 939/1,116 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs939
open_issues104
closed_issues97
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.483
closed_unmerged_prs177
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

80Excellent
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
25/25Owner reach — 7,284 followers of PaddlePaddle
25/25Track record — 109 public repos, account ~9 yr old
Inputs used
followers7,284
owner_typeOrganization
is_verifiedno
owner_loginPaddlePaddle
public_repos109
account_age_days3,592

Package maintenance

79Good
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
14/35Publish recency — latest publish 700 days ago
20/20Version history — 19 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesppdiffusers
ecosystemspypi
any_deprecatedno
min_days_since_publish700

Engineering Quality

Are baseline engineering and documentation practices in place?

71Good · 19% of overall

Engineering practices

62Moderate
How it's scored
0/24CI workflows
24/24Tests present
16/16Linter config — .flake8, pyproject.toml ([tool.black], [tool.isort])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_cino
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicsaigc, stable-diffusion, clip, image-to-text, text-to-image, ppdiffusers, controlnet, multimodal, eva-clip, sd-xl, text-to-video, dit, llava, sora, stablevideodiffusion, internvl2, qwen2-vl, minicpm-v, got-ocr20, deepseek-vl
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

10Critical · 16% of overall

Security posture

1Critical
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestsppdiffusers/requirements.txt, ppdiffusers/setup.py, pyproject.toml, requirements.txt, setup.py
has_codeql_workflowno
has_security_policyno
has_dependabot_configno

Dependency advisories

47Weak
How it's scored
12.3/35Direct dependencies free of known advisories — 1 affected: urllib3 2.0.0 (high 8.1)
6.8/25Indirect dependencies free of known advisories — 1 affected: onnx 1.17.0 (critical 9.1)
28/40No advisories left outstanding — 2 advisory-carrying package(s) unaddressed past 90 days; oldest published 1,082 days ago
Inputs used
sourceosv
advisories33
affected_packages2
assessed_packages145
unassessed_packages0
affected_by_severitycritical 1, high 1
direct_affected_packages1
Matched the pypi:ppdiffusers@0.29.0 runtime dependency closure — what installing the published package pulls in — 145 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.

58Moderate · 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 — 98 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.98
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

57Moderate
How it's scored
18/18One-command bootstrap — ppdiffusers/Makefile
22/22Automated tests
11/11Lint / format config — .flake8, pyproject.toml ([tool.black], [tool.isort])
0/11Static type checking
0/10Reproducible environment
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 — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesppdiffusers/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
53.8/55Manageable file sizes — 50/2,299 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes207,576
source_files_sampled2,299
oversized_source_files50

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 — example, examples, notebooks, samples
Inputs used
example_dirsexample, examples, notebooks, samples
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

723GitHub stars
92contributors
5commits, last 12 months
196days since last push
3releases
6bus factor
104open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'paddlemix' from its registry
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 0 ★ / 223 ⇿
0Stars
223Forks
3Releases

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.

0408012016020024021862023-072024-122026-06
Major 1Minor 1Patch 0

Each point covers 3 days.

All dependencies 255

Full resolved dependency set from the GitHub dependency graph: 0 direct and 255 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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Dependency advisories 2

Installing pypi:ppdiffusers@0.29.0 pulls in 145 packages, direct and transitive: 2 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
onnx1.17.0indirectcritical171.22.0
urllib32.0.0directhigh162.7.0

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

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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.