Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-20 01:06 UTC

protectai / nbdefense

Secure Jupyter Notebooks and Experimentation Environment

PythonApache-2.0★ 87 stars⑂ 22 forkssince Mar 2023View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

protectai/nbdefense holds a health index of 34 out of 100, placing it in the At Risk band. It scores highest on Engineering Quality (74/100) and lowest on Vitality (25/100). It was last updated 590 days ago. 2 contributors account for most of its recent work.

34
overall / 100
At Risk

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

34
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 56 is calibrated to 59 on the published index scale (record calibration 2026-08-02).

Ownership

Protect AIOrganization
786 followers16 public repossince Apr 2022

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPInbdefense1.0.52566698 days ago

Metrics by category

Vitality

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

25At Risk · 21% of overall
How it's scored
0/36Push recencylast push 590 days ago
0/36Commit cadence0/52 weeks with commits
0/18Commit volume0 commits in the last year
0/10OpenSSF Scorecard: Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year0
human_commit_share0.467
days_since_last_push590
active_weeks_last_year0
How it's scored
27/27Ships releases6 releases published
7.2/36Release recencylatest release 698 days ago
19.8/27Release cadencea release every ~114.6 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count6
latest_release_tagv1.0.5
releases_from_tagsno
days_since_latest_release698
mean_days_between_releases114.6
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

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

58Moderate · 17% of overall
How it's scored
31.4/60Stars87 stars
11/25Forks22 forks
5.6/15Watchers11 watchers
Inputs used
forks22
stars87
watchers11
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

73Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
12.8/22.5Commit distributiontop contributor authored 43% of commits
10.8/13.5Contributor breadth8 contributors
10/10OpenSSF Scorecard: Contributorsproject has 4 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled8
top_contributor_share0.429
How it's scored
38.2/42Issue resolution91% of issues closed
23.3/30PR acceptance59/76 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs59
open_issues1
closed_issues10
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.909
closed_unmerged_prs17
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domain
20.8/25Owner reach786 followers of protectai
17.9/25Track record16 public repos, account ~4 yr old
Inputs used
followers786
owner_typeOrganization
is_verifiedno
owner_loginprotectai
public_repos16
account_age_days1,629
How it's scored
25/25Published & resolvable1 package(s) on pypi
14/35Publish recencylatest publish 698 days ago
20/20Version history6 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesnbdefense
ecosystemspypi
any_deprecatedno
min_days_since_publish698

Engineering Quality

Are baseline engineering and documentation practices in place?

74Good · 19% of overall
How it's scored
24/24CI workflows8 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests0 out of 30 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics2 topics
0/10Wiki
Inputs used
topicsjupyter-notebook, security-tools
has_wikino
homepage
docs_site
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

50Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
3.8/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
0/2.5CI-Tests0 out of 30 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Reviewall changesets reviewed
2.5/2.5Contributorsproject has 4 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
0/7.5Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTSAST tool is not run on all commits -- score normalized to 0
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities149 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.
How it's scored
14.8/35Direct dependencies free of known advisories2 affected: nbconvert 7.0.0 (moderate 6.5), requests 2.32.2 (moderate 5.5)
10/25Indirect dependencies free of known advisories1 affected: mistune 2.1.0 (high 7.5)
26.9/40No advisories left outstanding3 advisory-carrying package(s) unaddressed past 90 days; oldest published 467 days ago
Inputs used
sourceosv
advisories38
affected_packages3
assessed_packages83
unassessed_packages0
affected_by_severityhigh 1, moderate 2
direct_affected_packages2
Matched the pypi:nbdefense@1.0.5 runtime dependency closure — what installing the published package pulls in — 83 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

63Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history28 of 28 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share1
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile, docs/Makefile
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 60
8/8Automated maintenance32 of the last 60 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.533
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/44 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes16,845
source_files_sampled44
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesnotebooks
Inputs used
example_dirsnotebooks
has_mcp_signalno
api_schema_files
interfaces_expected_of
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

87GitHub stars
8contributors
0commits, last 12 months
590days since last push
6releases
2bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 22 ⇿
0Stars
22Forks
1Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

048121620242222023-042024-122026-09
Major 0Minor 0Patch 1

Each point covers 4 days.

OpenSSF Scorecard 5.0 / 10
5.0aggregate

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).Scorecard v5.5.0 · 2026-09-20 01:06 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
0CI-Tests0 out of 30 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 4 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities149 existing vulnerabilities detected
Direct dependencies 12
RegistryPackageVersion constraintManifest
PyPIclick^8.1.3pyproject.toml
PyPIrequirements-parser0.5.0pyproject.toml
PyPIdetect-secrets1.4.0pyproject.toml
PyPInbformat5.6.1pyproject.toml
PyPIpresidio_analyzer2.2.29pyproject.toml
PyPInbconvert7.0.0pyproject.toml
PyPIjinja2^3.1.2pyproject.toml
PyPIrequests2.32.2pyproject.toml
PyPItqdm4.66.3pyproject.toml
PyPIrich12.6.0pyproject.toml
PyPIpandas^1.3.5pyproject.toml
PyPItomlkit0.11.6pyproject.toml
All dependencies 160

Full resolved dependency set from the GitHub dependency graph: 13 direct and 147 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIclick8.1.3direct
PyPIdetect-secrets1.4.0direct
PyPIjinja23.1.2direct
PyPIjinja23.1.4direct
PyPInbconvert7.0.0direct
PyPInbformat5.6.1direct
PyPIpandas1.3.5direct
PyPIpresidio-analyzer2.2.29direct
PyPIrequests2.32.2direct
PyPIrequirements-parser0.5.0direct
PyPIrich12.6.0direct
PyPItomlkit0.11.6direct
PyPItqdm4.66.3direct
PyPIattrs22.2.0indirect
PyPIbabel2.12.1indirect
PyPIbandit1.7.5indirect
PyPIbeautifulsoup44.11.2indirect
PyPIbeautifulsoup44.12.1indirect
PyPIblack24.3.0indirect
PyPIbleach6.0.0indirect
PyPIblis0.7.9indirect
PyPIcatalogue2.0.8indirect
PyPIcertifi2024.7.4indirect
PyPIcffi1.15.1indirect
PyPIcfgv3.3.1indirect
PyPIcharset-normalizer2.1.1indirect
PyPIcharset-normalizer3.1.0indirect
PyPIcolorama0.4.6indirect
PyPIcommonmark0.9.1indirect
PyPIconfection0.0.4indirect
PyPIcsscompressor0.9.5indirect
PyPIcymem2.0.7indirect
PyPIdefusedxml0.7.1indirect
PyPIdistlib0.3.6indirect
PyPIdocopt0.6.2indirect
PyPIdunamai1.13.2indirect
PyPIentrypoints0.4indirect
PyPIexceptiongroup1.1.1indirect
PyPIfastjsonschema2.16.3indirect
PyPIfilelock3.10.0indirect
PyPIfsspec2024.6.1indirect
PyPIghp-import2.1.0indirect
PyPIgitdb4.0.10indirect
PyPIgitpython3.1.41indirect
PyPIhtmlmin20.1.13indirect
PyPIhuggingface-hub0.13.3indirect
PyPIidentify2.5.21indirect
PyPIidna3.7indirect
PyPIimportlib-metadata6.0.0indirect
PyPIimportlib-metadata6.1.0indirect
PyPIimportlib-resources5.12.0indirect
PyPIiniconfig2.0.0indirect
PyPIjsmin3.0.1indirect
PyPIjsonschema4.17.3indirect
PyPIjupyter-client7.4.9indirect
PyPIjupyter-core4.12.0indirect
PyPIjupyterlab-pygments0.2.2indirect
PyPIlangcodes3.3.0indirect
PyPIlightgallery0.5indirect
PyPIlxml4.9.2indirect
PyPImarkdown3.3.7indirect
PyPImarkupsafe2.1.2indirect
PyPImergedeep1.3.4indirect
PyPImistune2.0.5indirect
PyPImkdocs1.4.2indirect
PyPImkdocs-git-authors-plugin0.7.0indirect
PyPImkdocs-git-revision-date-localized-plugin1.2.0indirect
PyPImkdocs-material8.5.10indirect
PyPImkdocs-material-extensions1.1.1indirect
PyPImkdocs-meta-descriptions-plugin2.2.0indirect
PyPImkdocs-minify-plugin0.6.4indirect
PyPImpmath1.3.0indirect
PyPImurmurhash1.0.9indirect
PyPImypy1.1.1indirect
PyPImypy-extensions1.0.0indirect
PyPInbclient0.7.2indirect
PyPInest-asyncio1.5.6indirect
PyPInetworkx3.1indirect
PyPInodeenv1.7.0indirect
PyPInumpy1.24.2indirect
PyPInvidia-cublas-cu1212.1.3.1indirect
PyPInvidia-cuda-cupti-cu1212.1.105indirect
PyPInvidia-cuda-nvrtc-cu1212.1.105indirect
PyPInvidia-cuda-runtime-cu1212.1.105indirect
PyPInvidia-cudnn-cu128.9.2.26indirect
PyPInvidia-cufft-cu1211.0.2.54indirect
PyPInvidia-curand-cu1210.3.2.106indirect
PyPInvidia-cusolver-cu1211.4.5.107indirect
PyPInvidia-cusparse-cu1212.1.0.106indirect
PyPInvidia-nccl-cu122.19.3indirect
PyPInvidia-nvjitlink-cu1212.5.82indirect
PyPInvidia-nvtx-cu1212.1.105indirect
PyPIpackaging23.0indirect
PyPIpackaging24.0indirect
PyPIpandocfilters1.5.0indirect
PyPIpathspec0.11.1indirect
PyPIpathy0.10.1indirect
PyPIpbr5.11.1indirect
PyPIphonenumbers8.13.7indirect
PyPIpkgutil-resolve-name1.3.10indirect
PyPIplatformdirs2.6.1indirect
PyPIpluggy1.0.0indirect
PyPIpre-commit2.20.0indirect
PyPIpreshed3.0.8indirect
PyPIpycparser2.21indirect
PyPIpydantic1.10.13indirect
PyPIpygments2.14.0indirect
PyPIpygments2.15.0indirect
PyPIpymdown-extensions10.0indirect
PyPIpyrsistent0.19.3indirect
PyPIpytest7.2.0indirect
PyPIpytest-watch4.2.0indirect
PyPIpython-dateutil2.8.2indirect
PyPIpytz2022.7.1indirect
PyPIpytz2023.3indirect
PyPIpywin32305indirect
PyPIpyyaml6.0indirect
PyPIpyyaml-env-tag0.1indirect
PyPIpyzmq25.0.1indirect
PyPIregex2022.10.31indirect
PyPIrequests-file1.5.1indirect
PyPIresponses0.22.0indirect
PyPIsetuptools70.0.0indirect
PyPIsix1.16.0indirect
PyPIsmart-open6.3.0indirect
PyPIsmmap5.0.0indirect
PyPIsoupsieve2.4indirect
PyPIspacy3.4.4indirect
PyPIspacy-alignments0.9.0indirect
PyPIspacy-legacy3.0.12indirect
PyPIspacy-loggers1.0.4indirect
PyPIspacy-transformers1.1.9indirect
PyPIsrsly2.4.6indirect
PyPIstevedore3.5.2indirect
PyPIsympy1.13.1indirect
PyPIthinc8.1.9indirect
PyPItinycss21.2.1indirect
PyPItldextract3.4.0indirect
PyPItokenizers0.13.2indirect
PyPItoml0.10.2indirect
PyPItomli2.0.1indirect
PyPItorch2.2.0indirect
PyPItornado6.4.1indirect
PyPItraitlets5.9.0indirect
PyPItransformers4.25.1indirect
PyPItriton2.2.0indirect
PyPItyper0.7.0indirect
PyPItypes-requests2.28.11.15indirect
PyPItypes-setuptools67.6.0.5indirect
PyPItypes-toml0.10.8.5indirect
PyPItypes-tqdm4.65.0.0indirect
PyPItypes-urllib31.26.25.8indirect
PyPItyping-extensions4.12.0indirect
PyPIurllib31.26.19indirect
PyPIvirtualenv20.21.0indirect
PyPIwasabi0.10.1indirect
PyPIwatchdog2.3.1indirect
PyPIwatchdog3.0.0indirect
PyPIwebencodings0.5.1indirect
PyPIzipp3.19.1indirect
Dependency advisories 3

Installing pypi:nbdefense@1.0.5 pulls in 83 packages, direct and transitive: 3 carry known advisories, of which 2 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
mistune2.1.0indirecthigh283.3.0
nbconvert7.0.0directmoderate67.17.1
requests2.32.2directmoderate42.33.0

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.