Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
QwenLM/Qwen3-VL holds a health index of 45 out of 100, placing it in the At risk band. It scores highest on Community & Adoption (75/100) and lowest on Security (21/100). It was last updated 171 days ago. 2 contributors account for most of its recent work.
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
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.
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
| Registry | Package | Version | Downloads / mo | Versions | Last publish | Tags |
|---|---|---|---|---|---|---|
| PyPI | qwen-vl-utilspoints to another repo — not scored | 0.0.14 | 2,047,577 | 15 | 300 days ago | large-language-modelpytorchqwen-vlvision-language-model |
Is the project alive — is code being written and are releases shipping?
| 9.9/36 | Push recency — last push 171 days ago |
| 9/36 | Commit cadence — 13/52 weeks with commits |
| 17.5/18 | Commit volume — 88 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — no data |
| commits_last_year | 88 |
| human_commit_share | — |
| days_since_last_push | 171 |
| active_weeks_last_year | 13 |
| 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 |
| releases_count | 0 |
Does the project have users, downloads, attention, and a welcoming setup for contributors?
| 60/60 | Stars — 19,630 stars |
| 25/25 | Forks — 1,824 forks |
| 10.9/15 | Watchers — 93 watchers |
| forks | 1,824 |
| stars | 19,630 |
| watchers | 93 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
| 22.5/22.5 | 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 |
| has_readme | yes |
| has_license | yes |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
| 25.2/54 | Bus factor — 2 contributor(s) cover half of all commits |
| 11.9/22.5 | Commit distribution — top contributor authored 47% of commits |
| 13.5/13.5 | Contributor breadth — 49 contributors |
| 0/10 | OpenSSF Scorecard: Contributors — no data |
| bus_factor | 2 |
| contributors_sampled | 49 |
| top_contributor_share | 0.471 |
| 36.7/46.8 | Issue resolution — 79% of issues closed |
| 27.5/38.3 | PR acceptance — 82/114 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — no data |
| merged_prs | 82 |
| open_issues | 390 |
| closed_issues | 1,433 |
| issue_closed_ratio | 0.786 |
| closed_unmerged_prs | 32 |
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 25/25 | Owner reach — 18,070 followers of QwenLM |
| 18.3/25 | Track record — 49 public repos, account ~2 yr old |
| followers | 18,070 |
| owner_type | Organization |
| is_verified | — |
| owner_login | QwenLM |
| public_repos | 49 |
| account_age_days | 1,083 |
Are baseline engineering and documentation practices in place?
| 0/24 | CI workflows |
| 24/24 | Tests present |
| 0/16 | Linter config |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — no data |
| has_ci | no |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
| 30/30 | README |
| 0/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 10/10 | Repository description |
| 0/10 | Topics |
| 0/10 | Wiki |
| topics | — |
| has_wiki | no |
| homepage | — |
| has_readme | yes |
| has_docs_dir | no |
| has_description | yes |
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
| 0/30 | Security policy (SECURITY.md) |
| 0/25 | Dependabot config |
| 0/25 | Dependency lockfiles |
| 0/20 | CodeQL workflow |
| source | file_signals |
| lockfiles | — |
| manifests | qwen-vl-utils/pyproject.toml, requirements_web_demo.txt |
| has_codeql_workflow | no |
| has_security_policy | no |
| has_dependabot_config | no |
| 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 |
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 8 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 0/40 | Legible commit history — no data |
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 0/11 | Static type checking |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — no data |
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
| 0/45 | Type-checkable code — Jupyter Notebook without a type-check config |
| 55/55 | Manageable file sizes — 0/32 source files over 60KB |
| primary_language | Jupyter Notebook |
| largest_source_bytes | 27,447 |
| source_files_sampled | 32 |
| oversized_source_files | 0 |
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — notebooks |
| example_dirs | notebooks |
| has_mcp_signal | no |
| api_schema_files | — |
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | requests | — | qwen-vl-utils/pyproject.toml |
| PyPI | pillow | — | qwen-vl-utils/pyproject.toml |
| PyPI | av | — | qwen-vl-utils/pyproject.toml |
| PyPI | packaging | — | qwen-vl-utils/pyproject.toml |
Full resolved dependency set from the GitHub dependency graph: 4 direct and 22 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | av | — | direct |
| PyPI | packaging | — | direct |
| PyPI | pillow | — | direct |
| PyPI | requests | — | direct |
| PyPI | accelerate | — | indirect |
| PyPI | datasets | — | indirect |
| PyPI | decord | — | indirect |
| PyPI | flash-attn | — | indirect |
| PyPI | gradio | 5.49.1 | indirect |
| PyPI | gradio-client | 1.13.3 | indirect |
| PyPI | latex2sympy2 | — | indirect |
| PyPI | numpy | — | indirect |
| PyPI | openpyxl | — | indirect |
| PyPI | pandas | — | indirect |
| PyPI | pycocotools | — | indirect |
| PyPI | pysubs2 | — | indirect |
| PyPI | qwen-vl-utils | — | indirect |
| PyPI | sentencepiece | — | indirect |
| PyPI | tabulate | — | indirect |
| PyPI | torch | — | indirect |
| PyPI | torchvision | — | indirect |
| PyPI | tqdm | — | indirect |
| PyPI | transformers | — | indirect |
| PyPI | transformers-stream-generator | 0.0.5 | indirect |
| PyPI | validators | — | indirect |
| PyPI | vllm | — | indirect |
Installing pypi:qwen-vl-utils@0.0.14 pulls in 8 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.
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{
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{
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"notes": [
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{
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{
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{
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{
"code": "file_list",
"params": {
"files": "notebooks"
}
}
],
"max_points": 40
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"pypi package 'qwen-vl-utils' points at a different repository (https://github.com/QwenLM/Qwen2-VL.git); excluded from ecosystem scoring",
"OpenSSF Scorecard did not return a usable result (2026/07/21 02:51:04 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks"
],
"report_type": "repository",
"generated_at": "2026-07-21T02:51:35.729641Z",
"schema_version": "0.16.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/q/QwenLM/Qwen3-VL.svg",
"full_name": "QwenLM/Qwen3-VL",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}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 v1.13.0, schema v0.16.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.