Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-20 01:46 UTC

jupyter-ai-contrib / jupyter-ai-tools

A suite of tools for AI agents in Jupyter

Python · TypeScriptBSD-3-Clause★ 13 stars⑂ 15 forkssince May 2025View on GitHub ↗
KindPluginhow this is determined

jupyter-ai-contrib/jupyter-ai-tools holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Vitality (80/100) and lowest on Community & Adoption (47/100). It was last updated today. 3 contributors account for most of its recent work.

77
overall / 100
Good

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.

77
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 66 is calibrated to 77 on the published index scale (record calibration 2026-08-02).

Ownership

jupyter-ai-contribOrganization
64 followers30 public repossince May 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIjupyter_ai_tools0.7.019,9881747 days agoextensionjupyter

Metrics by category

Vitality

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

80Excellent · 21% of overall

Development activity

73Good
How it's scored
36/36Push recency — last push 0 days ago
11.8/36Commit cadence — 17/52 weeks with commits
15.6/18Commit volume — 53 commits in the last year
10/10OpenSSF Scorecard: Maintained — 15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year53
human_commit_share0.989
days_since_last_push0
active_weeks_last_year17

Release discipline

90Excellent
How it's scored
27/27Ships releases — 12 releases published
36/36Release recency — latest release 47 days ago
27/27Release cadence — a release every ~18.5 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count12
latest_release_tagv0.7.0
releases_from_tagsno
days_since_latest_release47
mean_days_between_releases18.5

Community & Adoption

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

47Weak · 17% of overall

Popularity & adoption

29At Risk
How it's scored
17.5/60Stars — 13 stars
9.6/25Forks — 15 forks
1.7/15Watchers — 3 watchers
Inputs used
forks15
stars13
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (BSD-3-Clause)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges1
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com
has_pull_request_templateno

Ecosystem adoption (downloads)

72Good
How it's scored
57.3/80Monthly downloads — 19,988 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesjupyter_ai_tools
dependents—
ecosystemspypi
total_downloads—
monthly_downloads19,988
unverified_packages_excluded—
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?

73Good · 23% of overall

Maintainer resilience (bus factor)

76Good
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
16.4/22.5Commit distribution — top contributor authored 27% of commits
13.5/13.5Contributor breadth — 11 contributors
10/10OpenSSF Scorecard: Contributors — project has 35 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled11
top_contributor_share0.27

Issue & PR responsiveness

64Moderate
How it's scored
24.3/42Issue resolution — 58% of issues closed
26.8/30PR acceptance — 25/28 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
4.5/15OpenSSF Scorecard: Code-Review — Found 7/22 approved changesets -- score normalized to 3
Inputs used
merged_prs25
open_issues8
closed_issues11
prs_merged_7d2
prs_decided_7d2
prs_merged_30d2
prs_decided_30d2
issue_closed_ratio0.579
closed_unmerged_prs3
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.

Ownership & stewardship

57Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
13/25Owner reach — 64 followers of jupyter-ai-contrib
13.7/25Track record — 30 public repos, account ~1 yr old
Inputs used
followers64
owner_typeOrganization
is_verifiedno
owner_loginjupyter-ai-contrib
public_repos30
account_age_days513

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 47 days ago
20/20Version history — 17 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesjupyter_ai_tools
ecosystemspypi
any_deprecatedno
min_days_since_publish47

Engineering Quality

Are baseline engineering and documentation practices in place?

73Good · 19% of overall

Engineering practices

88Excellent
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.black])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
14/20OpenSSF Scorecard: CI-Tests — 11 out of 14 merged PRs checked by a CI test -- score normalized to 7
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

54Moderate · 16% of overall

Security posture

42Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
1.8/2.5CI-Tests — 11 out of 14 merged PRs checked by a CI test -- score normalized to 7
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
2.2/7.5Code-Review — Found 7/22 approved changesets -- score normalized to 3
2.5/2.5Contributors — project has 35 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 38 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.2
Excluded from scoring (no data or not applicable): Packaging. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages96
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:jupyter_ai_tools@0.7.0 runtime dependency closure — what installing the published package pulls in — 96 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.

53Moderate · 4% of overall

Agent context & guidance

26At Risk
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
25.8/40Legible commit history — 43 of 89 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.483
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

73Good
How it's scored
18/18One-command bootstrap — noxfile.py
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.black])
0/11Static type checking
10/10Reproducible environment — lockfile
4.4/10Demonstrated agent practice — 2 of the last 90 commits agent-authored or agent-credited
8/8Automated maintenance — 1 of the last 90 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesyarn.lock
has_dockerfileno
typed_languageno
bootstrap_filesnoxfile.py
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.022
toolchain_manifests—
dependency_bot_commit_share0.011

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
53.5/55Manageable file sizes — 1/37 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes72,513
source_files_sampled37
oversized_source_files1

Key facts

13GitHub stars
11contributors
53commits, last 12 months
0days since last push
12releases
3bus factor
8open issues
npm, 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 ★ / 15 ⇿
0Stars
15Forks
12Releases

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.

03581013151522025-052026-022026-10
Major 0Minor 5Patch 5

Each point covers 2 days.

OpenSSF Scorecard 4.2 / 10
4.2aggregate

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 · 2026-10-20 01:46 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
7CI-Tests11 out of 14 merged PRs checked by a CI test -- score normalized to 7
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3Code-ReviewFound 7/22 approved changesets -- score normalized to 3
10Contributorsproject has 35 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
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
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities38 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPIjupyter_server>=1.6,<3pyproject.toml
PyPIpycrdt—pyproject.toml
PyPIjupyter_ydoc—pyproject.toml
PyPInbclient—pyproject.toml
PyPIjupyterlab-commands-toolkit>=0.3.1pyproject.toml
PyPIjupyterlab-ai-commands>=0.4.0pyproject.toml
All dependencies 512

Full resolved dependency set from the GitHub dependency graph: 3 direct and 509 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIjupyter-server—direct
PyPIjupyterlab-ai-commands—direct
PyPIjupyterlab-commands-toolkit—direct
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npmd3-shape1.3.7indirect
npmd3-shape3.2.0indirect
npmd3-time3.1.0indirect
npmd3-time-format4.1.0indirect
npmd3-timer3.0.1indirect
npmd3-transition3.0.1indirect
npmd3-zoom3.0.0indirect
npmdagre-d3-es7.0.14indirect
npmdayjs1.11.23indirect
npmdebug2.6.9indirect
npmdebug4.4.3indirect
npmdeepmerge4.3.1indirect
npmdelaunator5.1.0indirect
npmdepd2.0.0indirect
npmdom-serializer2.0.0indirect
npmdomelementtype2.3.0indirect
npmdomhandler5.0.3indirect
npmdompurify3.4.14indirect
npmdomutils3.2.2indirect
npmdunder-proto1.0.1indirect
npmee-first1.1.1indirect
npmelkjs0.9.3indirect
npmemoji-regex8.0.0indirect
npmencodeurl2.0.0indirect
npmentities4.5.0indirect
npmenv-paths2.2.1indirect
npmes-define-property1.0.1indirect
npmes-errors1.3.0indirect
npmes-object-atoms1.1.2indirect
npmes-toolkit1.51.0indirect
npmescalade3.2.0indirect
npmescape-html1.0.3indirect
npmescape-string-regexp4.0.0indirect
npmetag1.8.1indirect
npmeventsource3.0.7indirect
npmeventsource-parser3.1.1indirect
npmexenv-es61.1.1indirect
npmexponential-backoff3.1.3indirect
npmexpress5.2.1indirect
npmexpress-rate-limit8.6.2indirect
npmfast-deep-equal3.1.3indirect
npmfast-uri3.1.5indirect
npmfastdom1.0.12indirect
npmfdir6.5.0indirect
npmfinalhandler2.1.1indirect
npmforwarded0.2.0indirect
npmfree-style3.1.0indirect
npmfresh2.0.0indirect
npmfs-extra10.1.0indirect
npmfsevents2.3.2indirect
npmfunction-bind1.1.2indirect
npmgenerator-function2.0.1indirect
npmget-caller-file2.0.5indirect
npmget-intrinsic1.3.1indirect
npmget-proto1.0.1indirect
npmgithub-slugger2.0.0indirect
npmgopd1.2.0indirect
npmgraceful-fs4.2.11indirect
npmhachure-fill0.5.2indirect
npmhas-symbols1.1.0indirect
npmhasown2.0.4indirect
npmhono4.13.3indirect
npmhtmlparser28.0.2indirect
npmhttp-errors2.0.1indirect
npmiconv-lite0.6.3indirect
npmiconv-lite0.7.3indirect
npmimport-meta-resolve4.2.0indirect
npminherits2.0.3indirect
npminherits2.0.4indirect
npminternmap1.0.1indirect
npminternmap2.0.3indirect
npmip-address10.5.0indirect
npmipaddr.js1.9.1indirect
npmis-fullwidth-code-point3.0.0indirect
npmis-plain-object5.0.0indirect
npmis-promise4.0.0indirect
npmisarray1.0.0indirect
npmisexe2.0.0indirect
npmisexe4.0.0indirect
npmisomorphic.js0.2.5indirect
npmjose6.2.9indirect
npmjs-tokens4.0.0indirect
npmjson-schema-compare0.2.2indirect
npmjson-schema-merge-allof0.8.1indirect
npmjson-schema-traverse1.0.0indirect
npmjson-schema-typed8.0.2indirect
npmjson-stringify-pretty-compact4.0.0indirect
npmjson52.2.3indirect
npmjsonfile6.2.1indirect
npmjsonpointer5.0.1indirect
npmkatex0.16.47indirect
npmkhroma2.1.0indirect
npmlayout-base1.0.2indirect
npmlayout-base2.0.1indirect
npmlib00.2.117indirect
npmlodash4.18.1indirect
npmlodash-es4.18.1indirect
npmlodash.escape4.0.1indirect
npmlodash.mergewith4.6.2indirect
npmloose-envify1.4.0indirect
npmmarkdown-to-jsx7.7.17indirect
npmmarked16.4.2indirect
npmmarked17.0.6indirect
npmmarked-gfm-heading-id4.1.4indirect
npmmarked-mangle1.1.13indirect
npmmath-intrinsics1.1.0indirect
npmmedia-typer1.1.1indirect
npmmerge-descriptors2.0.0indirect
npmmermaid11.17.0indirect
npmmime-db1.54.0indirect
npmmime-types3.0.2indirect
npmminimist1.2.8indirect
npmminipass7.1.3indirect
npmminizlib3.1.0indirect
npmms2.0.0indirect
npmms2.1.3indirect
npmnanoid3.3.18indirect
npmnegotiator1.1.0indirect
npmnode-fetch2.7.0indirect
npmnode-gyp13.0.1indirect
npmnopt10.0.1indirect
npmobject-assign4.1.1indirect
npmobject-inspect1.13.4indirect
npmon-finished2.4.1indirect
npmonce1.4.0indirect
npmpackage-manager-detector1.8.0indirect
npmparse-srcset1.0.2indirect
npmparseurl1.3.3indirect
npmpath0.12.7indirect
npmpath-browserify1.0.1indirect
npmpath-data-parser0.1.0indirect
npmpath-key3.1.1indirect
npmpath-to-regexp8.4.2indirect
npmpicocolors1.1.1indirect
npmpicomatch4.0.5indirect
npmpkce-challenge5.0.1indirect
npmplaywright1.62.1indirect
npmplaywright-core1.62.1indirect
npmpoints-on-curve0.2.0indirect
npmpoints-on-path0.2.1indirect
npmpostcss8.5.26indirect
npmproc-log7.0.0indirect
npmprocess0.11.10indirect
npmprocess-nextick-args2.0.1indirect
npmprop-types15.8.1indirect
npmproxy-addr2.0.7indirect
npmqs6.15.3indirect
npmquerystringify2.2.0indirect
npmrange-parser1.3.0indirect
npmraw-body3.0.2indirect
npmreact18.3.1indirect
npmreact-dom18.3.1indirect
npmreact-is16.13.1indirect
npmreact-is18.3.1indirect
npmreadable-stream2.3.8indirect
npmregexp-match-indices1.0.2indirect
npmregexp-tree0.1.27indirect
npmrequire-directory2.1.1indirect
npmrequire-from-string2.0.2indirect
npmrequires-port1.0.0indirect
npmrobust-predicates3.0.3indirect
npmroughjs4.6.6indirect
npmrouter2.2.0indirect
npmrw1.3.3indirect
npmsafe-buffer5.1.2indirect
npmsafer-buffer2.1.2indirect
npmsanitize-html2.12.1indirect
npmscheduler0.23.2indirect
npmsemver7.8.5indirect
npmsend1.2.1indirect
npmserve-static2.2.1indirect
npmsetprototypeof1.2.0indirect
npmshebang-command2.0.0indirect
npmshebang-regex3.0.0indirect
npmside-channel1.1.1indirect
npmside-channel-list1.0.1indirect
npmside-channel-map1.0.1indirect
npmside-channel-weakmap1.0.2indirect
npmsource-map-js1.2.1indirect
npmstatuses2.0.2indirect
npmstrictdom1.0.1indirect
npmstring-width4.2.3indirect
npmstring_decoder1.1.1indirect
npmstrip-ansi6.0.1indirect
npmstyle-mod4.1.3indirect
npmstylis4.4.0indirect
npmtabbable5.3.3indirect
npmtar7.5.22indirect
npmtinyexec1.3.0indirect
npmtinyglobby0.2.17indirect
npmtoidentifier1.0.1indirect
npmtopojson-client3.1.0indirect
npmtr460.0.3indirect
npmts-dedent2.3.0indirect
npmtslib1.14.1indirect
npmtslib2.8.1indirect
npmtype-is2.1.0indirect
npmtypestyle2.4.0indirect
npmundici8.10.0indirect
npmuniversalify2.0.1indirect
npmunpipe1.0.0indirect
npmurl-parse1.5.10indirect
npmutil0.10.4indirect
npmutil-deprecate1.0.2indirect
npmuuid14.0.2indirect
npmvalidate.io-array1.0.6indirect
npmvalidate.io-function1.0.2indirect
npmvalidate.io-integer1.0.5indirect
npmvalidate.io-integer-array1.0.0indirect
npmvalidate.io-number1.0.3indirect
npmvary1.1.2indirect
npmvega5.33.1indirect
npmvega-canvas1.2.7indirect
npmvega-crossfilter4.1.4indirect
npmvega-dataflow5.7.8indirect
npmvega-encode4.10.3indirect
npmvega-event-selector3.0.1indirect
npmvega-expression5.1.2indirect
npmvega-expression5.2.1indirect
npmvega-force4.2.3indirect
npmvega-format1.1.4indirect
npmvega-functions5.18.1indirect
npmvega-geo4.4.4indirect
npmvega-hierarchy4.1.4indirect
npmvega-label1.3.2indirect
npmvega-lite5.23.0indirect
npmvega-loader4.5.4indirect
npmvega-parser6.6.1indirect
npmvega-projection1.6.3indirect
npmvega-regression1.3.2indirect
npmvega-runtime6.2.2indirect
npmvega-scale7.4.3indirect
npmvega-scenegraph4.13.2indirect
npmvega-selections5.6.3indirect
npmvega-statistics1.9.0indirect
npmvega-time2.1.4indirect
npmvega-transforms4.12.2indirect
npmvega-typings1.5.1indirect
npmvega-util1.17.4indirect
npmvega-view5.16.1indirect
npmvega-view-transforms4.6.2indirect
npmvega-voronoi4.2.5indirect
npmvega-wordcloud4.1.7indirect
npmvscode-jsonrpc8.2.1indirect
npmvscode-jsonrpc9.0.1indirect
npmvscode-languageserver-protocol3.18.2indirect
npmvscode-languageserver-types3.18.0indirect
npmvscode-ws-jsonrpc1.0.2indirect
npmw3c-keyname2.2.8indirect
npmwebidl-conversions3.0.1indirect
npmwhatwg-url5.0.0indirect
npmwhich2.0.2indirect
npmwhich7.0.0indirect
npmwrap-ansi7.0.0indirect
npmwrappy1.0.2indirect
npmws8.21.3indirect
npmy-protocols1.0.7indirect
npmy18n5.0.8indirect
npmyallist5.0.0indirect
npmyargs17.7.3indirect
npmyargs-parser21.1.1indirect
npmyjs13.6.32indirect
npmzod4.4.3indirect
npmzod-to-json-schema3.25.2indirect
PyPIblack—indirect
PyPIhatchling—indirect
PyPImcp—indirect
PyPImdformat—indirect
PyPImdformat-gfm—indirect
PyPImypy—indirect
PyPIpydantic—indirect
PyPIpytest—indirect
PyPIpytest-jupyter—indirect
PyPIruff—indirect
Dependency advisories 0

Installing pypi:jupyter_ai_tools@0.7.0 pulls in 96 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

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

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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 statistics — PyPI.