Public recordModerate
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-15 08:55 UTC
opendatalab / labelu
Open-source multimodal data annotation platform with AI auto-annotation support.
opendatalab/labelu holds a health index of 60 out of 100, placing it in the Moderate band. It scores highest on Vitality (77/100) and lowest on Security (23/100). It was last updated 2 days ago. A single contributor accounts for most of its recent work.
60
overall / 100Software health index
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.
60
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe 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.
Ownership
OpenDataLabOrganization
2,911 followers67 public repossince Jan 2022
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish |
|---|---|---|---|---|---|
| PyPI | labelu | 1.5.4 | - | 125 | 2 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
77
Development activity
68Moderate
How it's scored
| 36/36 | Push recency — last push 2 days ago |
| 6.9/36 | Commit cadence — 10/52 weeks with commits |
| 15.6/18 | Commit volume — 54 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 54 |
| human_commit_share | — |
| days_since_last_push | 2 |
| active_weeks_last_year | 10 |
Release discipline
90Excellent
How it's scored
| 27/27 | Ships releases — 100 releases published |
| 36/36 | Release recency — latest release 2 days ago |
| 27/27 | Release cadence — a release every ~9.8 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Inputs used
| releases_count | 100 |
| latest_release_tag | v1.5.4 |
| releases_from_tags | no |
| days_since_latest_release | 2 |
| mean_days_between_releases | 9.8 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
65
Popularity & adoption
78Good
How it's scored
| 52.1/60 | Stars — 1,621 stars |
| 18.9/25 | Forks — 185 forks |
| 6.8/15 | Watchers — 18 watchers |
Inputs used
| forks | 185 |
| stars | 1,621 |
| watchers | 18 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
50Moderate
How it's scored
| 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 |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
69
Maintainer resilience (bus factor)
42At risk
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 9.2/22.5 | Commit distribution — top contributor authored 59% of commits |
| 13.5/13.5 | Contributor breadth — 18 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 18 |
| top_contributor_share | 0.59 |
Issue & PR responsiveness
69Moderate
How it's scored
| 31.7/46.8 | Issue resolution — 68% of issues closed |
| 34.7/38.3 | PR acceptance — 165/182 decided PRs merged |
| 3/15 | OpenSSF Scorecard: Code-Review — Found 2/10 approved changesets -- score normalized to 2 |
Inputs used
| merged_prs | 165 |
| open_issues | 34 |
| closed_issues | 72 |
| issue_closed_ratio | 0.679 |
| closed_unmerged_prs | 17 |
Ownership & stewardship
77Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 24.9/25 | Owner reach — 2,911 followers of opendatalab |
| 22/25 | Track record — 67 public repos, account ~4 yr old |
Inputs used
| followers | 2,911 |
| owner_type | Organization |
| is_verified | — |
| owner_login | opendatalab |
| public_repos | 67 |
| account_age_days | 1,646 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 2 days ago |
| 20/20 | Version history — 125 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | labelu |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 2 |
Engineering Quality
Are baseline engineering and documentation practices in place?
55
Engineering practices
48At risk
How it's scored
| 24/24 | CI workflows — 4 workflow(s) |
| 24/24 | Tests present |
| 0/16 | Linter config |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — 0 out of 8 merged PRs checked by a CI test -- score normalized to 0 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Documentation
65Moderate
How it's scored
| 30/30 | README |
| 0/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://opendatalab.github.io/labelU/ |
| 10/10 | Repository description |
| 0/10 | Topics |
| 10/10 | Wiki |
Inputs used
| topics | — |
| has_wiki | yes |
| homepage | https://opendatalab.github.io/labelU/ |
| has_readme | yes |
| has_docs_dir | no |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
23
Security posture
23Critical
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — no data |
| 0/2.5 | CI-Tests — 0 out of 8 merged PRs checked by a CI test -- score normalized to 0 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 1.5/7.5 | Code-Review — Found 2/10 approved changesets -- score normalized to 2 |
| 2.5/2.5 | Contributors — project has 6 contributing companies or organizations |
| 0/10 | Dangerous-Workflow — dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — no data |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 92 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 2.3 |
Excluded from scoring (no data or not applicable): branch_protection, packaging. Remaining weights renormalized.
AI Readiness
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.
55
Agent context & guidance
75Good
How it's scored
| 45/45 | Agent instructions — CLAUDE.md |
| 0/15 | Machine-readable docs (llms.txt) |
| 0/40 | Legible commit history — no data |
Inputs used
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | CLAUDE.md |
| agent_instruction_max_bytes | 3,783 |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 0/11 | Static type checking |
| 10/10 | Reproducible environment — Dockerfile, lockfile |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | uv.lock |
| has_dockerfile | yes |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
Code legibility for models
55Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 55/55 | Manageable file sizes — 0/127 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 48,950 |
| source_files_sampled | 127 |
| oversized_source_files | 0 |
Key facts
1,621GitHub stars
18contributors
54commits, last 12 months
2days since last push
100releases
1bus factor
34open issues
PyPIpackage ecosystems
More detail
OpenSSF Scorecard 2.3 / 10
2.3aggregate
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| n/a | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 0 | CI-Tests | 0 out of 8 merged PRs checked by a CI test -- score normalized to 0 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 2 | Code-Review | Found 2/10 approved changesets -- score normalized to 2 |
| 10 | Contributors | project has 6 contributing companies or organizations |
| 0 | Dangerous-Workflow | dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10 |
| n/a | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 92 existing vulnerabilities detected |
Direct dependencies 21
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | fastapi | >=0.100.0 | pyproject.toml |
| PyPI | loguru | >=0.6.0 | pyproject.toml |
| PyPI | sqlalchemy | >=2.0.0 | pyproject.toml |
| PyPI | boto3 | — | pyproject.toml |
| PyPI | cryptography | >=41.0.0 | pyproject.toml |
| PyPI | python-jose | >=3.3.0 | pyproject.toml |
| PyPI | pydantic | >=2.0.0 | pyproject.toml |
| PyPI | pydantic-settings | >=2.0.0 | pyproject.toml |
| PyPI | typer | >=0.7.0 | pyproject.toml |
| PyPI | uvicorn | >=0.19.0 | pyproject.toml |
| PyPI | email-validator | >=2.0.0 | pyproject.toml |
| PyPI | python-multipart | >=0.0.5 | pyproject.toml |
| PyPI | python-dotenv | >=0.21.0 | pyproject.toml |
| PyPI | appdirs | >=1.4.4 | pyproject.toml |
| PyPI | aiofiles | >=22.1.0 | pyproject.toml |
| PyPI | pillow | >=9.3.0 | pyproject.toml |
| PyPI | alembic | >=1.9.4 | pyproject.toml |
| PyPI | httpx | >=0.27.0 | pyproject.toml |
| PyPI | tfrecord | >=1.14.5 | pyproject.toml |
| PyPI | websockets | >=10.0.0 | pyproject.toml |
| PyPI | bcrypt | ==4.3.0 | pyproject.toml |
All dependencies 86
Full resolved dependency set from the GitHub dependency graph: 25 direct and 61 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | aiofiles | 25.1.0 | direct |
| PyPI | alembic | 1.18.4 | direct |
| PyPI | appdirs | 1.4.4 | direct |
| PyPI | bcrypt | 4.3.0 | direct |
| PyPI | boto3 | 1.42.90 | direct |
| PyPI | cryptography | 46.0.5 | direct |
| PyPI | email-validator | 2.3.0 | direct |
| PyPI | fastapi | 0.125.0 | direct |
| PyPI | fastapi | — | direct |
| PyPI | httpx | 0.28.1 | direct |
| PyPI | httpx | — | direct |
| PyPI | loguru | 0.7.3 | direct |
| PyPI | pillow | 12.1.1 | direct |
| PyPI | pillow | — | direct |
| PyPI | pydantic | 2.12.5 | direct |
| PyPI | pydantic-settings | 2.13.1 | direct |
| PyPI | python-dotenv | 1.2.2 | direct |
| PyPI | python-jose | 3.5.0 | direct |
| PyPI | python-multipart | 0.0.22 | direct |
| PyPI | sqlalchemy | 2.0.48 | direct |
| PyPI | tfrecord | 1.14.6 | direct |
| PyPI | typer | 0.7.0 | direct |
| PyPI | uvicorn | 0.42.0 | direct |
| PyPI | uvicorn | — | direct |
| PyPI | websockets | 16.0 | direct |
| PyPI | annotated-doc | 0.0.4 | indirect |
| PyPI | annotated-types | 0.7.0 | indirect |
| PyPI | anyio | 4.12.1 | indirect |
| PyPI | black | 26.3.1 | indirect |
| PyPI | botocore | 1.42.90 | indirect |
| PyPI | certifi | 2026.2.25 | indirect |
| PyPI | cffi | 2.0.0 | indirect |
| PyPI | charset-normalizer | 3.4.6 | indirect |
| PyPI | click | 8.3.1 | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | coverage | 7.13.5 | indirect |
| PyPI | crc32c | 2.8 | indirect |
| PyPI | dnspython | 2.8.0 | indirect |
| PyPI | ecdsa | 0.19.1 | indirect |
| PyPI | einops | — | indirect |
| PyPI | flake8 | 7.3.0 | indirect |
| PyPI | greenlet | 3.3.2 | indirect |
| PyPI | h11 | 0.16.0 | indirect |
| PyPI | httpcore | 1.0.9 | indirect |
| PyPI | idna | 3.11 | indirect |
| PyPI | iniconfig | 2.3.0 | indirect |
| PyPI | jmespath | 1.1.0 | indirect |
| PyPI | labelu | 1.3.6 | indirect |
| PyPI | mako | 1.3.10 | indirect |
| PyPI | markupsafe | 3.0.3 | indirect |
| PyPI | mccabe | 0.7.0 | indirect |
| PyPI | mypy-extensions | 1.1.0 | indirect |
| PyPI | mysqlclient | 2.2.8 | indirect |
| PyPI | numpy | 2.4.3 | indirect |
| PyPI | numpy | — | indirect |
| PyPI | opencv-python-headless | — | indirect |
| PyPI | packaging | 26.0 | indirect |
| PyPI | pathspec | 1.0.4 | indirect |
| PyPI | platformdirs | 4.9.4 | indirect |
| PyPI | pluggy | 1.6.0 | indirect |
| PyPI | protobuf | 7.34.0 | indirect |
| PyPI | pyasn1 | 0.6.3 | indirect |
| PyPI | pycodestyle | 2.14.0 | indirect |
| PyPI | pycparser | 3.0 | indirect |
| PyPI | pydantic-core | 2.41.5 | indirect |
| PyPI | pyflakes | 3.4.0 | indirect |
| PyPI | pygments | 2.19.2 | indirect |
| PyPI | pytest | 9.0.2 | indirect |
| PyPI | pytest-cov | 7.0.0 | indirect |
| PyPI | python-dateutil | 2.9.0.post0 | indirect |
| PyPI | pytokens | 0.4.1 | indirect |
| PyPI | requests | 2.32.5 | indirect |
| PyPI | rsa | 4.9.1 | indirect |
| PyPI | s3transfer | 0.16.0 | indirect |
| PyPI | sam3 | — | indirect |
| PyPI | six | 1.17.0 | indirect |
| PyPI | starlette | 0.50.0 | indirect |
| PyPI | timm | — | indirect |
| PyPI | tomli | 2.4.0 | indirect |
| PyPI | torch | — | indirect |
| PyPI | torchvision | — | indirect |
| PyPI | transformers | — | indirect |
| PyPI | typing-extensions | 4.15.0 | indirect |
| PyPI | typing-inspection | 0.4.2 | indirect |
| PyPI | urllib3 | 2.6.3 | indirect |
| PyPI | win32-setctime | 1.2.0 | indirect |
Raw JSON report machine-readable
{
"data": {
"repo": {
"topics": [],
"is_fork": false,
"size_kb": 73439,
"has_wiki": true,
"homepage": "https://opendatalab.github.io/labelU/",
"languages": {
"Mako": 510,
"Shell": 1848,
"Python": 561123,
"Dockerfile": 1866,
"JavaScript": 3627
},
"pushed_at": "2026-07-13T07:04:03Z",
"created_at": "2022-10-19T09:03:11Z",
"owner_type": "Organization",
"updated_at": "2026-07-15T08:09:57Z",
"description": "Open-source multimodal data annotation platform with AI auto-annotation support.",
"is_archived": false,
"is_disabled": false,
"license_spdx": "Apache-2.0",
"default_branch": "main",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": "https://opendatalab.org.cn",
"name": "OpenDataLab",
"type": "Organization",
"login": "opendatalab",
"company": null,
"location": "China",
"followers": 2911,
"avatar_url": "https://avatars.githubusercontent.com/u/97503431?v=4",
"created_at": "2022-01-11T06:43:49Z",
"is_verified": null,
"public_repos": 67,
"account_age_days": 1646
},
"activity": {
"releases_count": 100,
"commits_last_year": 54,
"latest_release_at": "2026-07-13T07:04:06Z",
"latest_release_tag": "v1.5.4",
"days_since_last_push": 2,
"active_weeks_last_year": 10,
"days_since_latest_release": 2,
"mean_days_between_releases": 9.8
},
"community": {
"has_readme": true,
"has_license": true,
"has_description": true,
"has_contributing": false,
"health_percentage": 37,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"ecosystem": {
"packages": [
{
"name": "labelu",
"exists": true,
"license": "Apache-2.0",
"keywords": [],
"ecosystem": "pypi",
"matches_repo": true,
"registry_url": "https://pypi.org/project/labelu/",
"is_deprecated": false,
"latest_version": "1.5.4",
"repository_url": "https://github.com/opendatalab/labelU",
"versions_count": 125,
"total_downloads": null,
"dependents_count": null,
"deprecation_note": null,
"maintainers_count": null,
"monthly_downloads": null,
"first_published_at": "2022-12-23T08:22:38.652206Z",
"latest_published_at": "2026-07-13T07:03:42.544930Z",
"latest_version_yanked": null,
"days_since_latest_publish": 2
}
]
},
"popularity": {
"forks": 185,
"stars": 1621,
"watchers": 18,
"open_issues_and_prs": 34
},
"ai_readiness": {
"has_nix": false,
"example_dirs": [],
"has_llms_txt": false,
"has_dockerfile": true,
"has_mcp_signal": false,
"bootstrap_files": [],
"api_schema_files": [],
"has_devcontainer": false,
"typecheck_configs": [],
"largest_source_bytes": 48950,
"source_files_sampled": 127,
"oversized_source_files": 0,
"agent_instruction_files": [
"CLAUDE.md"
],
"agent_instruction_max_bytes": 3783
},
"dependencies": {
"manifests": [
"pyproject.toml"
],
"ecosystems": [
"pypi"
],
"dependencies": [
{
"name": "fastapi",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=0.100.0"
},
{
"name": "loguru",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=0.6.0"
},
{
"name": "sqlalchemy",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=2.0.0"
},
{
"name": "boto3",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": null
},
{
"name": "cryptography",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=41.0.0"
},
{
"name": "python-jose",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=3.3.0"
},
{
"name": "pydantic",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=2.0.0"
},
{
"name": "pydantic-settings",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=2.0.0"
},
{
"name": "typer",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=0.7.0"
},
{
"name": "uvicorn",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=0.19.0"
},
{
"name": "email-validator",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=2.0.0"
},
{
"name": "python-multipart",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=0.0.5"
},
{
"name": "python-dotenv",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=0.21.0"
},
{
"name": "appdirs",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=1.4.4"
},
{
"name": "aiofiles",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=22.1.0"
},
{
"name": "pillow",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=9.3.0"
},
{
"name": "alembic",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=1.9.4"
},
{
"name": "httpx",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=0.27.0"
},
{
"name": "tfrecord",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=1.14.5"
},
{
"name": "websockets",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=10.0.0"
},
{
"name": "bcrypt",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": "==4.3.0"
}
],
"all_dependencies": {
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],
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{
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{
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{
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{
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{
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{
"code": "bus_factor",
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{
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{
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{
"key": "openssf_scorecard_contributors",
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]
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{
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"components": [
{
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{
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}
],
"max_points": 46.75
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{
"key": "pr_acceptance",
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{
"key": "openssf_scorecard_code_review",
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"status": "partial",
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]
},
{
"key": "stewardship",
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"components": [
{
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{
"code": "owner_organization",
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{
"key": "verified_domain",
"name": "Verified domain",
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"points": 0,
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{
"key": "owner_reach",
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{
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"status": "partial",
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{
"code": "public_repos",
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},
{
"code": "account_age_years",
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]
},
{
"key": "package_maintenance",
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"components": [
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"code": "packages_published",
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],
"max_points": 25
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{
"key": "publish_recency",
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"status": "met",
"details": [
{
"code": "publish_recency",
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"days": 2
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],
"max_points": 35
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{
"key": "version_history",
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{
"code": "published_versions",
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"count": 125
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}
],
"max_points": 20
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{
"key": "not_deprecated",
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"points": 20,
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"details": [
{
"code": "package_not_deprecated",
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],
"max_points": 20
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]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
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"name": "Engineering Quality",
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"key": "engineering_practices",
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{
"code": "ci_workflows",
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}
],
"max_points": 24
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{
"key": "tests_present",
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"max_points": 24
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{
"key": "linter_config",
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"details": [],
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{
"key": "pre_commit_hooks",
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"status": "missed",
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{
"key": "editorconfig",
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{
"key": "openssf_scorecard_ci_tests",
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]
},
{
"key": "documentation",
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"name": "Documentation",
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"notes": [],
"value": 65,
"inputs": {
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"components": [
{
"key": "readme",
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{
"key": "documentation_directory",
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{
"key": "documentation_homepage_site",
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{
"key": "repository_description",
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{
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{
"key": "wiki",
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]
}
],
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{
"key": "security",
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"key": "security_posture",
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"components": [
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{
"key": "branch_protection",
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{
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{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
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"status": "missed",
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{
"key": "code_review",
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"status": "partial",
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{
"key": "contributors",
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"status": "met",
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{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "dangerous workflow patterns detected",
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"status": "missed",
"details": [],
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{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "no update tool detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
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"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
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{
"key": "maintained",
"name": "Maintained",
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"points": 7.5,
"status": "met",
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{
"key": "packaging",
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"status": "excluded",
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"code": "no_data",
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],
"max_points": 5
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{
"key": "pinned_dependencies",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
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{
"key": "security_policy",
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"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
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{
"key": "signed_releases",
"name": "Signed-Releases",
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"points": 0,
"status": "missed",
"details": [],
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{
"key": "token_permissions",
"name": "Token-Permissions",
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"status": "missed",
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{
"key": "vulnerabilities",
"name": "Vulnerabilities",
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"status": "missed",
"details": [],
"max_points": 7.5
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]
},
{
"key": "high_risk_jurisdiction_exposure",
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"name": "High-Risk Jurisdiction Exposure",
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"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
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"red_flag": false,
"exposures": [],
"policy_countries": [
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"review_only_matches": 0,
"assessed_self_published_locations": 8
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"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
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"code": "jurisdiction_no_match",
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],
"max_points": 100
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]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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{
"key": "ai_readiness",
"band": "moderate",
"name": "AI Readiness",
"value": 55,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "good",
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"notes": [
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"code": "excluded_no_data",
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},
{
"code": "weights_renormalized",
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],
"value": 75,
"inputs": {
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"legible_history_share": null,
"agent_instruction_files": [
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"agent_instruction_max_bytes": 3783
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"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
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"status": "met",
"details": [
{
"code": "file_list",
"params": {
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}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
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"status": "excluded",
"details": [
{
"code": "no_data",
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],
"max_points": 40
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]
},
{
"key": "ai_verify_loop",
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"code": "excluded_no_data",
"params": {
"components": [
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},
{
"code": "weights_renormalized",
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],
"value": 39,
"inputs": {
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"lockfiles": [
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"toolchain_manifests": [],
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"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "automated_tests",
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"points": 22,
"status": "met",
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},
{
"key": "lint_format_config",
"name": "Lint / format config",
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"points": 0,
"status": "missed",
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{
"key": "static_type_checking",
"name": "Static type checking",
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"points": 0,
"status": "missed",
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},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "Dockerfile, lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Dockerfile, lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 55,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 48950,
"source_files_sampled": 127,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "0/127 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 127,
"oversized": 0
}
}
],
"max_points": 55
}
]
}
],
"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": [],
"report_type": "repository",
"generated_at": "2026-07-15T08:55:13.403497Z",
"schema_version": "0.11.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/o/opendatalab/labelu.svg",
"full_name": "opendatalab/labelu",
"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 v0.11.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.