Public recordGood
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-17 14:15 UTC
teng-lin / notebooklm-py
Unofficial Python API and agentic skill for Google NotebookLM. Full programmatic access to NotebookLM's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw.
teng-lin/notebooklm-py holds a health index of 79 out of 100, placing it in the Good band. It scores highest on Engineering Quality (92/100) and lowest on Sustainability & Governance (64/100). It was last updated today. A single contributor accounts for most of its recent work.
79
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.
79
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
Teng LinPersonal account
669 followers6 public repossince Apr 2011XtalPi Inc.
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 | notebooklm-py | 0.7.3 | 162,026 | 28 | 17 days ago | aiapiautomationclientgooglenotebooklmrpc |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
85
Development activity
81Good
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 16.6/36 | Commit cadence — 24/52 weeks with commits |
| 18/18 | Commit volume — 1,856 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 1,856 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 24 |
Release discipline
90Excellent
How it's scored
| 27/27 | Ships releases — 25 releases published |
| 36/36 | Release recency — latest release 0 days ago |
| 27/27 | Release cadence — a release every ~1.9 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Inputs used
| releases_count | 25 |
| latest_release_tag | v0.8.0b5 |
| releases_from_tags | no |
| days_since_latest_release | 0 |
| mean_days_between_releases | 1.9 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
87
Popularity & adoption
95Excellent
How it's scored
| 60/60 | Stars — 17,878 stars |
| 25/25 | Forks — 2,415 forks |
| 10.4/15 | Watchers — 75 watchers |
Inputs used
| forks | 2,415 |
| stars | 17,878 |
| watchers | 75 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
77Good
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 18/18 | CONTRIBUTING guide |
| 0/13.5 | 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 | no |
| has_pull_request_template | yes |
Ecosystem adoption (downloads)
87Excellent
How it's scored
| 69.5/80 | Monthly downloads — 162,026 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | notebooklm-py |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 162,026 |
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?
64
Maintainer resilience (bus factor)
30At risk
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 1.3/22.5 | Commit distribution — top contributor authored 94% of commits |
| 13.5/13.5 | Contributor breadth — 28 contributors |
| 6/10 | OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 28 |
| top_contributor_share | 0.941 |
How it's scored
| 44.9/46.8 | Issue resolution — 96% of issues closed |
| 35.4/38.3 | PR acceptance — 1,320/1,427 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 1/28 approved changesets -- score normalized to 0 |
Inputs used
| merged_prs | 1,320 |
| open_issues | 21 |
| closed_issues | 501 |
| issue_closed_ratio | 0.96 |
| closed_unmerged_prs | 107 |
Ownership & stewardship
61Moderate
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 20.3/25 | Owner reach — 669 followers of teng-lin |
| 18.2/25 | Track record — 6 public repos, account ~15 yr old |
Inputs used
| followers | 669 |
| owner_type | User |
| is_verified | — |
| owner_login | teng-lin |
| public_repos | 6 |
| account_age_days | 5,568 |
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 17 days ago |
| 20/20 | Version history — 28 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | notebooklm-py |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 17 |
Engineering Quality
Are baseline engineering and documentation practices in place?
92
Engineering practices
94Excellent
How it's scored
| 24/24 | CI workflows — 12 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 — 29 out of 29 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://github.com/teng-lin/notebooklm-py |
| 10/10 | Repository description |
| 10/10 | Topics — 14 topics |
| 0/10 | Wiki |
Inputs used
| topics | api, claude, python, sdk, skills, google-notebooklm, notebooklm, notebooklm-api, podcast-generator, python-api, agentic-skill, claude-skills, openclaw-skills, notebooklm-skill |
| has_wiki | no |
| homepage | https://github.com/teng-lin/notebooklm-py |
| 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?
68
Security posture
68Moderate
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 2.2/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 29 out of 29 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 |
| 0/7.5 | Code-Review — Found 1/28 approved changesets -- score normalized to 0 |
| 1.5/2.5 | Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
| 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 30 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 2/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4 |
| 5/5 | SAST — SAST tool is run on all commits |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 6/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 6.8/7.5 | Vulnerabilities — 1 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 18 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 0 |
| scorecard_aggregate | 6.8 |
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.
77
Agent context & guidance
75Good
How it's scored
| 45/45 | Agent instructions — AGENTS.md, 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 | AGENTS.md, CLAUDE.md |
| agent_instruction_max_bytes | 5,873 |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
Verify loop (build / test / typecheck)
90Excellent
How it's scored
| 18/18 | One-command bootstrap — deploy/Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 11/11 | Static type checking — src/notebooklm/py.typed |
| 10/10 | Reproducible environment — Dockerfile, lockfile |
| 0/10 | Demonstrated agent practice — no data |
| 5/8 | Automated maintenance — dependency automation configured, none observed in the sampled commits |
| 4/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | uv.lock |
| has_dockerfile | yes |
| typed_language | no |
| bootstrap_files | deploy/Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | src/notebooklm/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/notebooklm/py.typed) |
| 53.9/55 | Manageable file sizes — 19/949 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 141,417 |
| source_files_sampled | 949 |
| oversized_source_files | 19 |
Machine-readable interfaces
40At risk
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — examples |
Inputs used
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
17,878GitHub stars
28contributors
1,856commits, last 12 months
0days since last push
25releases
1bus factor
21open issues
PyPIpackage ecosystems
More detail
OpenSSF Scorecard 6.8 / 10
6.8aggregate
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 |
| 3 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 29 out of 29 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 |
| 0 | Code-Review | Found 1/28 approved changesets -- score normalized to 0 |
| 6 | Contributors | project has 2 contributing companies or organizations -- score normalized to 6 |
| 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 30 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 4 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 4 |
| 10 | SAST | SAST tool is run on all commits |
| 10 | Security-Policy | security policy file detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 8 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 9 | Vulnerabilities | 1 existing vulnerabilities detected |
Direct dependencies 4
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | httpx | >=0.27.0,<0.29 | pyproject.toml |
| PyPI | click | >=8.0.0,<9 | pyproject.toml |
| PyPI | rich | >=13.0.0,<16 | pyproject.toml |
| PyPI | filelock | >=3.13,<4 | pyproject.toml |
All dependencies 123
Full resolved dependency set from the GitHub dependency graph: 4 direct and 119 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | click | 8.4.2 | direct |
| PyPI | filelock | 3.25.2 | direct |
| PyPI | httpx | 0.28.1 | direct |
| PyPI | rich | 14.2.0 | direct |
| PyPI | aiofile | 3.11.1 | indirect |
| PyPI | aiofile | 3.9.0 | indirect |
| PyPI | annotated-doc | 0.0.4 | indirect |
| PyPI | annotated-types | 0.7.0 | indirect |
| PyPI | anyio | 4.12.1 | indirect |
| PyPI | attrs | 26.1.0 | indirect |
| PyPI | authlib | 1.7.2 | indirect |
| PyPI | backports-asyncio-runner | 1.2.0 | indirect |
| PyPI | backports-tarfile | 1.2.0 | indirect |
| PyPI | beartype | 0.22.9 | indirect |
| PyPI | beautifulsoup4 | 4.14.3 | indirect |
| PyPI | cachetools | 7.1.4 | indirect |
| PyPI | caio | 0.9.25 | indirect |
| PyPI | certifi | 2026.1.4 | indirect |
| PyPI | cffi | 2.0.0 | indirect |
| PyPI | cfgv | 3.5.0 | indirect |
| PyPI | charset-normalizer | 3.4.7 | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | coverage | 7.13.1 | indirect |
| PyPI | cryptography | 48.0.1 | indirect |
| PyPI | curl-cffi | 0.15.0 | indirect |
| PyPI | cyclopts | 4.16.1 | indirect |
| PyPI | distlib | 0.4.0 | indirect |
| PyPI | dnspython | 2.8.0 | indirect |
| PyPI | docstring-parser | 0.18.0 | indirect |
| PyPI | email-validator | 2.3.0 | indirect |
| PyPI | exceptiongroup | 1.3.1 | indirect |
| PyPI | execnet | 2.1.2 | indirect |
| PyPI | fastapi | 0.136.3 | indirect |
| PyPI | fastmcp | 3.4.2 | indirect |
| PyPI | fastmcp-slim | 3.4.2 | indirect |
| PyPI | gpsoauth | 2.0.0 | indirect |
| PyPI | greenlet | 3.3.0 | indirect |
| PyPI | griffelib | 2.1.0 | indirect |
| PyPI | h11 | 0.16.0 | indirect |
| PyPI | httpcore | 1.0.9 | indirect |
| PyPI | httptools | 0.8.0 | indirect |
| PyPI | httpx-sse | 0.4.3 | indirect |
| PyPI | identify | 2.6.17 | indirect |
| PyPI | idna | 3.15 | indirect |
| PyPI | importlib-metadata | 9.0.0 | indirect |
| PyPI | iniconfig | 2.3.0 | indirect |
| PyPI | jaraco-classes | 3.4.0 | indirect |
| PyPI | jaraco-context | 6.1.2 | indirect |
| PyPI | jaraco-functools | 4.5.0 | indirect |
| PyPI | jeepney | 0.9.0 | indirect |
| PyPI | joserfc | 1.7.1 | indirect |
| PyPI | jsonref | 1.1.0 | indirect |
| PyPI | jsonschema | 4.26.0 | indirect |
| PyPI | jsonschema-path | 0.5.0 | indirect |
| PyPI | jsonschema-specifications | 2025.9.1 | indirect |
| PyPI | keyring | 25.7.0 | indirect |
| PyPI | librt | 0.7.7 | indirect |
| PyPI | markdown-it-py | 4.0.0 | indirect |
| PyPI | markdownify | 1.2.2 | indirect |
| PyPI | mcp | 1.27.2 | indirect |
| PyPI | mdurl | 0.1.2 | indirect |
| PyPI | more-itertools | 11.1.0 | indirect |
| PyPI | mypy | 1.19.1 | indirect |
| PyPI | mypy-extensions | 1.1.0 | indirect |
| PyPI | nodeenv | 1.10.0 | indirect |
| PyPI | notebooklm-py | 0.8.0b5 | indirect |
| PyPI | openapi-pydantic | 0.5.1 | indirect |
| PyPI | opentelemetry-api | 1.42.1 | indirect |
| PyPI | packaging | 25.0 | indirect |
| PyPI | pathable | 0.6.0 | indirect |
| PyPI | pathspec | 1.0.3 | indirect |
| PyPI | platformdirs | 4.9.4 | indirect |
| PyPI | playwright | 1.57.0 | indirect |
| PyPI | pluggy | 1.6.0 | indirect |
| PyPI | pre-commit | 4.5.1 | indirect |
| PyPI | py-key-value-aio | 0.4.5 | indirect |
| PyPI | pycparser | 3.0 | indirect |
| PyPI | pycryptodomex | 3.23.0 | indirect |
| PyPI | pydantic | 2.13.4 | indirect |
| PyPI | pydantic-core | 2.46.4 | indirect |
| PyPI | pydantic-settings | 2.14.2 | indirect |
| PyPI | pyee | 13.0.0 | indirect |
| PyPI | pygments | 2.20.0 | indirect |
| PyPI | pyjwt | 2.13.0 | indirect |
| PyPI | pyperclip | 1.11.0 | indirect |
| PyPI | pytest | 9.0.3 | indirect |
| PyPI | pytest-asyncio | 1.3.0 | indirect |
| PyPI | pytest-cov | 7.0.0 | indirect |
| PyPI | pytest-httpx | 0.36.0 | indirect |
| PyPI | pytest-rerunfailures | 16.1 | indirect |
| PyPI | pytest-timeout | 2.4.0 | indirect |
| PyPI | pytest-xdist | 3.8.0 | indirect |
| PyPI | python-discovery | 1.1.3 | indirect |
| PyPI | python-dotenv | 1.2.2 | indirect |
| PyPI | python-multipart | 0.0.32 | indirect |
| PyPI | pywin32 | 312 | indirect |
| PyPI | pywin32-ctypes | 0.2.3 | indirect |
| PyPI | pyyaml | 6.0.3 | indirect |
| PyPI | referencing | 0.37.0 | indirect |
| PyPI | requests | 2.34.2 | indirect |
| PyPI | rich-rst | 2.0.1 | indirect |
| PyPI | rookiepy | 0.5.6 | indirect |
| PyPI | rpds-py | 0.30.0 | indirect |
| PyPI | rpds-py | 2026.5.1 | indirect |
| PyPI | ruff | 0.15.21 | indirect |
| PyPI | secretstorage | 3.5.0 | indirect |
| PyPI | six | 1.17.0 | indirect |
| PyPI | soupsieve | 2.8.4 | indirect |
| PyPI | sse-starlette | 3.4.4 | indirect |
| PyPI | starlette | 1.3.1 | indirect |
| PyPI | tomli | 2.3.0 | indirect |
| PyPI | typing-extensions | 4.15.0 | indirect |
| PyPI | typing-inspection | 0.4.2 | indirect |
| PyPI | uncalled-for | 0.3.2 | indirect |
| PyPI | urllib3 | 2.7.0 | indirect |
| PyPI | uvicorn | 0.49.0 | indirect |
| PyPI | uvloop | 0.22.1 | indirect |
| PyPI | vcrpy | 8.2.1 | indirect |
| PyPI | virtualenv | 21.2.0 | indirect |
| PyPI | watchfiles | 1.2.0 | indirect |
| PyPI | websockets | 16.0 | indirect |
| PyPI | wrapt | 2.0.1 | indirect |
| PyPI | zipp | 4.1.0 | indirect |
Raw JSON report machine-readable
{
"data": {
"repo": {
"topics": [
"api",
"claude",
"python",
"sdk",
"skills",
"google-notebooklm",
"notebooklm",
"notebooklm-api",
"podcast-generator",
"python-api",
"agentic-skill",
"claude-skills",
"openclaw-skills",
"notebooklm-skill"
],
"is_fork": false,
"size_kb": 30352,
"has_wiki": false,
"homepage": "https://github.com/teng-lin/notebooklm-py",
"languages": {
"Shell": 3017,
"Python": 13823095,
"Makefile": 5200,
"Dockerfile": 2448
},
"pushed_at": "2026-07-17T10:24:01Z",
"created_at": "2026-01-07T15:27:19Z",
"owner_type": "User",
"updated_at": "2026-07-17T13:56:50Z",
"description": "Unofficial Python API and agentic skill for Google NotebookLM. Full programmatic access to NotebookLM's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw.",
"is_archived": false,
"is_disabled": false,
"license_spdx": "MIT",
"default_branch": "main",
"primary_language": "Python",
"significant_languages": [
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]
},
"owner": {
"blog": "https://www.linkedin.com/in/linteng/",
"name": "Teng Lin",
"type": "User",
"login": "teng-lin",
"company": "XtalPi Inc.",
"location": "New York",
"followers": 669,
"avatar_url": "https://avatars.githubusercontent.com/u/737447?v=4",
"created_at": "2011-04-18T19:30:22Z",
"is_verified": null,
"public_repos": 6,
"account_age_days": 5568
},
"activity": {
"releases_count": 25,
"commits_last_year": 1856,
"latest_release_at": "2026-07-17T10:11:07Z",
"latest_release_tag": "v0.8.0b5",
"releases_from_tags": false,
"days_since_last_push": 0,
"active_weeks_last_year": 24,
"days_since_latest_release": 0,
"mean_days_between_releases": 1.9
},
"community": {
"has_readme": true,
"has_license": true,
"has_description": true,
"has_contributing": true,
"health_percentage": 85,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": true
},
"ecosystem": {
"packages": [
{
"name": "notebooklm-py",
"exists": true,
"license": "MIT",
"keywords": [
"ai",
"api",
"automation",
"client",
"google",
"notebooklm",
"rpc",
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3.14",
"Topic :: Software Development :: Libraries :: Python Modules"
],
"ecosystem": "pypi",
"matches_repo": true,
"registry_url": "https://pypi.org/project/notebooklm-py/",
"is_deprecated": false,
"latest_version": "0.7.3",
"repository_url": "https://github.com/teng-lin/notebooklm-py",
"versions_count": 28,
"total_downloads": null,
"dependents_count": null,
"deprecation_note": null,
"maintainers_count": null,
"monthly_downloads": 162026,
"first_published_at": "2026-01-09T09:58:57.564577Z",
"latest_published_at": "2026-06-30T01:10:59.009914Z",
"latest_version_yanked": null,
"days_since_latest_publish": 17
}
]
},
"popularity": {
"forks": 2415,
"stars": 17878,
"watchers": 75,
"open_issues_and_prs": 26
},
"ai_readiness": {
"has_nix": false,
"example_dirs": [
"examples"
],
"has_llms_txt": false,
"has_dockerfile": true,
"has_mcp_signal": false,
"bootstrap_files": [
"deploy/Makefile"
],
"api_schema_files": [],
"has_devcontainer": false,
"typecheck_configs": [
"src/notebooklm/py.typed"
],
"largest_source_bytes": 141417,
"source_files_sampled": 949,
"oversized_source_files": 19,
"agent_instruction_files": [
"AGENTS.md",
"CLAUDE.md"
],
"agent_instruction_max_bytes": 5873
},
"dependencies": {
"manifests": [
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"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "code_review",
"name": "Code-Review",
"detail": "Found 1/28 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 2 contributing companies or organizations -- score normalized to 6",
"points": 1.5,
"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 4",
"points": 2,
"status": "partial",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is run on all commits",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "Project has not signed or included provenance with any releases.",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 6,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "1 existing vulnerabilities detected",
"points": 6.8,
"status": "partial",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 5
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "good",
"name": "AI Readiness",
"value": 77,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "good",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 75,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [
"AGENTS.md",
"CLAUDE.md"
],
"agent_instruction_max_bytes": 5873
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "AGENTS.md, CLAUDE.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "AGENTS.md, CLAUDE.md"
}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "excellent",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 90,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": true,
"typed_language": false,
"bootstrap_files": [
"deploy/Makefile"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [
"src/notebooklm/py.typed"
],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "deploy/Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "deploy/Makefile"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 11,
"status": "met",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "src/notebooklm/py.typed",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "src/notebooklm/py.typed"
}
}
],
"max_points": 11
},
{
"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": "dependency automation configured, none observed in the sampled commits",
"points": 5,
"status": "partial",
"details": [
{
"code": "dependency_bot_config_only",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 4",
"points": 4,
"status": "partial",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "good",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 81,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 141417,
"source_files_sampled": 949,
"oversized_source_files": 19
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (src/notebooklm/py.typed)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
"files": "src/notebooklm/py.typed",
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "19/949 source files over 60KB",
"points": 53.9,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 949,
"oversized": 19
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"examples"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"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": "examples",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples"
}
}
],
"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": [],
"report_type": "repository",
"generated_at": "2026-07-17T14:15:38.495345Z",
"schema_version": "0.11.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/t/teng-lin/notebooklm-py.svg",
"full_name": "teng-lin/notebooklm-py",
"license_state": "standard",
"license_spdx": "MIT"
}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.