Public recordExcellent
Software health reportschema 0.12.0 · metrics 1.13.0 · 2026-07-18 12:50 UTC
Lightning-AI / lightning
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Lightning-AI/lightning holds a health index of 85 out of 100, placing it in the Excellent band. It scores highest on Community & Adoption (95/100) and lowest on AI Readiness (51/100). It was last updated 1 day ago. 3 contributors account for most of its recent work.
85
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.
85
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
⚡️ Lightning AI Organization
6,836 followers29 public repossince Dec 2019
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 | assistantpoints to another repo — not scored | 2.0.2b2 | - | 43 | 81 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
93
Development activity
95Excellent
How it's scored
| 36/36 | Push recency — last push 1 days ago |
| 31.2/36 | Commit cadence — 45/52 weeks with commits |
| 18/18 | Commit volume — 426 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 426 |
| human_commit_share | — |
| days_since_last_push | 1 |
| active_weeks_last_year | 45 |
Release discipline
90Excellent
How it's scored
| 27/27 | Ships releases — 100 releases published |
| 36/36 | Release recency — latest release 51 days ago |
| 27/27 | Release cadence — a release every ~44.1 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 | 2.6.5 |
| releases_from_tags | no |
| days_since_latest_release | 51 |
| mean_days_between_releases | 44.1 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
95
Popularity & adoption
98Excellent
How it's scored
| 60/60 | Stars — 31,238 stars |
| 25/25 | Forks — 3,761 forks |
| 13.4/15 | Watchers — 256 watchers |
Inputs used
| forks | 3,761 |
| stars | 31,238 |
| watchers | 256 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
92Excellent
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (Apache-2.0) |
| 18/18 | CONTRIBUTING guide |
| 13.5/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 6.3/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | yes |
| has_pull_request_template | yes |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
81
How it's scored
| 36/54 | Bus factor — 3 contributor(s) cover half of all commits |
| 17/22.5 | Commit distribution — top contributor authored 24% of commits |
| 13.5/13.5 | Contributor breadth — 100 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 42 contributing companies or organizations |
Inputs used
| bus_factor | 3 |
| contributors_sampled | 100 |
| top_contributor_share | 0.245 |
Issue & PR responsiveness
89Excellent
How it's scored
| 41.5/46.8 | Issue resolution — 89% of issues closed |
| 32.8/38.3 | PR acceptance — 9,438/11,020 decided PRs merged |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Inputs used
| merged_prs | 9,438 |
| open_issues | 843 |
| closed_issues | 6,712 |
| issue_closed_ratio | 0.888 |
| closed_unmerged_prs | 1,582 |
Ownership & stewardship
78Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 25/25 | Owner reach — 6,836 followers of Lightning-AI |
| 22.8/25 | Track record — 29 public repos, account ~6 yr old |
Inputs used
| followers | 6,836 |
| owner_type | Organization |
| is_verified | — |
| owner_login | Lightning-AI |
| public_repos | 29 |
| account_age_days | 2,421 |
Engineering Quality
Are baseline engineering and documentation practices in place?
92
Engineering practices
94Excellent
How it's scored
| 24/24 | CI workflows — 18 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
90Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://lightning.ai/pytorch-lightning/?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme |
| 10/10 | Repository description |
| 10/10 | Topics — 7 topics |
| 0/10 | Wiki |
Inputs used
| topics | python, deep-learning, artificial-intelligence, ai, pytorch, data-science, machine-learning |
| has_wiki | no |
| homepage | https://lightning.ai/pytorch-lightning/?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
63
Security posture
63Moderate
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — no data |
| 2.5/2.5 | CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 42 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — 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 5 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 3/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 3/5 | Security-Policy — security policy file 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 |
| 3/7.5 | Vulnerabilities — 6 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 6.3 |
Excluded from scoring (no data or not applicable): branch_protection. 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.
51
Agent context & guidance
1Critical
How it's scored
| 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 |
Inputs used
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
| 18/18 | One-command bootstrap — Makefile, docs/source-fabric/Makefile, docs/source-pytorch/Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 11/11 | Static type checking — src/lightning/py.typed, src/lightning_fabric/py.typed, src/pytorch_lightning/py.typed |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no data |
| 5/8 | Automated maintenance — dependency automation configured, none observed in the sampled commits |
| 6/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | Makefile, docs/source-fabric/Makefile, docs/source-pytorch/Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | src/lightning/py.typed, src/lightning_fabric/py.typed, src/pytorch_lightning/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
| 27/45 | Type-checkable code — Python with type-check config (src/lightning/py.typed, src/lightning_fabric/py.typed, src/pytorch_lightning/py.typed) |
| 54.6/55 | Manageable file sizes — 5/648 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 82,856 |
| source_files_sampled | 648 |
| oversized_source_files | 5 |
Machine-readable interfaces
40At risk
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — demos, examples, notebooks |
Inputs used
| example_dirs | demos, examples, notebooks |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
31,238GitHub stars
100contributors
426commits, last 12 months
1days since last push
100releases
3bus factor
843open issues
PyPIpackage ecosystems
Data collection warnings
- pypi package 'assistant' points at a different repository (https://gitlab.com/waser-technologies/technologies/assistant); excluded from ecosystem scoring
More detail
OpenSSF Scorecard 6.3 / 10
6.3aggregate
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 |
| 10 | CI-Tests | 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 42 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 6 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 6 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 6 | Security-Policy | security policy file detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 4 | Vulnerabilities | 6 existing vulnerabilities detected |
All dependencies 96
Full resolved dependency set from the GitHub dependency graph: 0 direct and 96 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | awscli | — | indirect |
| PyPI | bitsandbytes | — | indirect |
| PyPI | click | 8.1.8 | indirect |
| PyPI | click | 8.3.1 | indirect |
| PyPI | cloudpickle | — | indirect |
| PyPI | coverage | 7.10.7 | indirect |
| PyPI | coverage | 7.13.5 | indirect |
| PyPI | deepspeed | — | indirect |
| PyPI | docutils | — | indirect |
| PyPI | fastapi | — | indirect |
| PyPI | fsspec | — | indirect |
| PyPI | gymnasium | — | indirect |
| PyPI | huggingface-hub | — | indirect |
| PyPI | hydra-core | — | indirect |
| PyPI | importlib-metadata | — | indirect |
| PyPI | ipython | — | indirect |
| PyPI | jinja2 | — | indirect |
| PyPI | jsonargparse | — | indirect |
| PyPI | lai-sphinx-theme | — | indirect |
| PyPI | lightning | — | indirect |
| PyPI | lightning-utilities | — | indirect |
| PyPI | litdata | — | indirect |
| PyPI | matplotlib | — | indirect |
| PyPI | moviepy | — | indirect |
| PyPI | mypy | 1.20.0 | indirect |
| PyPI | myst-parser | — | indirect |
| PyPI | nbconvert | — | indirect |
| PyPI | nbformat | — | indirect |
| PyPI | nbsphinx | — | indirect |
| PyPI | numpy | — | indirect |
| PyPI | omegaconf | — | indirect |
| PyPI | onnx | — | indirect |
| PyPI | onnx-ir | — | indirect |
| PyPI | onnxruntime | — | indirect |
| PyPI | onnxscript | — | indirect |
| PyPI | packaging | — | indirect |
| PyPI | pandas | — | indirect |
| PyPI | pandoc | — | indirect |
| PyPI | pkginfo | 1.12.1.2 | indirect |
| PyPI | psutil | — | indirect |
| PyPI | pytest | 9.0.2 | indirect |
| PyPI | pytest-cov | 7.0.0 | indirect |
| PyPI | pytest-doctestplus | 1.7.1 | indirect |
| PyPI | pytest-random-order | 1.2.0 | indirect |
| PyPI | pytest-rerunfailures | 16.0.1 | indirect |
| PyPI | pytest-rerunfailures | 16.1 | indirect |
| PyPI | pytest-timeout | 2.4.0 | indirect |
| PyPI | pyyaml | — | indirect |
| PyPI | requests | — | indirect |
| PyPI | rich | — | indirect |
| PyPI | scikit-learn | — | indirect |
| PyPI | setuptools | — | indirect |
| PyPI | sphinx | — | indirect |
| PyPI | sphinx-autobuild | — | indirect |
| PyPI | sphinx-autodoc-typehints | — | indirect |
| PyPI | sphinx-copybutton | — | indirect |
| PyPI | sphinx-multiproject | — | indirect |
| PyPI | sphinx-paramlinks | — | indirect |
| PyPI | sphinx-rtd-dark-mode | — | indirect |
| PyPI | sphinx-togglebutton | — | indirect |
| PyPI | sphinx-toolbox | 4.1.2 | indirect |
| PyPI | sphinxcontrib-fulltoc | — | indirect |
| PyPI | sphinxcontrib-mockautodoc | — | indirect |
| PyPI | sphinxcontrib-video | 0.4.2 | indirect |
| PyPI | tensorboard | — | indirect |
| PyPI | tensorboardx | — | indirect |
| PyPI | tomlkit | — | indirect |
| PyPI | torch | — | indirect |
| PyPI | torch | 2.9.1 | indirect |
| PyPI | torch-tensorrt | — | indirect |
| PyPI | torchao | — | indirect |
| PyPI | torchmetrics | — | indirect |
| PyPI | torchvision | — | indirect |
| PyPI | tqdm | — | indirect |
| PyPI | twine | 6.2.0 | indirect |
| PyPI | types-bleach | — | indirect |
| PyPI | types-cachetools | — | indirect |
| PyPI | types-croniter | — | indirect |
| PyPI | types-decorator | — | indirect |
| PyPI | types-markdown | — | indirect |
| PyPI | types-paramiko | — | indirect |
| PyPI | types-protobuf | — | indirect |
| PyPI | types-python-dateutil | — | indirect |
| PyPI | types-pyyaml | — | indirect |
| PyPI | types-redis | — | indirect |
| PyPI | types-requests | — | indirect |
| PyPI | types-setuptools | — | indirect |
| PyPI | types-six | — | indirect |
| PyPI | types-tabulate | — | indirect |
| PyPI | types-toml | — | indirect |
| PyPI | types-tzlocal | — | indirect |
| PyPI | types-ujson | — | indirect |
| PyPI | typing-extensions | — | indirect |
| PyPI | uvicorn | — | indirect |
| PyPI | wget | — | indirect |
| PyPI | wheel | — | indirect |
Raw JSON report machine-readable
{
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"Python": 5124583,
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},
"pushed_at": "2026-07-16T16:55:55Z",
"created_at": "2019-03-31T00:45:57Z",
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"updated_at": "2026-07-18T12:38:05Z",
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"days_since_latest_release": 51,
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"health_percentage": 87,
"has_issue_template": false,
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"ecosystem": {
"packages": [
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"latest_version_yanked": null,
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"popularity": {
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"watchers": 256,
"open_issues_and_prs": 1048
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"ai_readiness": {
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"example_dirs": [
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"bootstrap_files": [
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"api_schema_files": [],
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"typecheck_configs": [
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"largest_source_bytes": 82856,
"source_files_sampled": 648,
"oversized_source_files": 5,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
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"dependencies": {
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"ecosystems": [
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"dependencies": [],
"all_dependencies": {
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"packages": [
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"direct": false,
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{
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"ecosystem": "pypi"
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{
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"direct": false,
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"ecosystem": "pypi"
},
{
"name": "mypy",
"direct": false,
"version": "1.20.0",
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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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{
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{
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{
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{
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{
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{
"key": "documentation",
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{
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{
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"key": "dangerous_workflow",
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{
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{
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{
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"points": 7.5,
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{
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{
"key": "sast",
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{
"key": "security_policy",
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{
"key": "signed_releases",
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"status": "missed",
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{
"key": "token_permissions",
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{
"key": "vulnerabilities",
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"components": [
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"weight": 0,
"metrics": [
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "demos, examples, notebooks",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "demos, examples, 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 'assistant' points at a different repository (https://gitlab.com/waser-technologies/technologies/assistant); excluded from ecosystem scoring"
],
"report_type": "repository",
"generated_at": "2026-07-18T12:50:45.353076Z",
"schema_version": "0.12.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/l/Lightning-AI/lightning.svg",
"full_name": "Lightning-AI/lightning",
"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 v0.12.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.