Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 21:31 UTC

jupyterlab / jupyter-builder

Build tools for JupyterLab (and remixes)

Python · TypeScriptBSD-3-Clause★ 15 stars⑂ 12 forkssince Mar 2024View on GitHub ↗
KindLibraryCommand-line toolhow this is determined
#build-tools#jupyterlab-extension

jupyterlab/jupyter-builder holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Vitality (85/100) and lowest on Community & Adoption (60/100). It was last updated 4 days ago. A single contributor accounts for most of its recent work.

88
overall / 100
Excellent

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.

88
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

JupyterLabOrganization · verified domain
1,616 followers67 public repossince Oct 2016

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
npm@jupyter/builder1.2.386,869196 days agojupyterjupyterlab
PyPIjupyter_builder1.2.320,986,781236 days agoipythonjupyter

Metrics by category

Vitality

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

85Excellent · 21% of overall

Development activity

82Excellent
How it's scored
36/36Push recency — last push 4 days ago
18/36Commit cadence — 26/52 weeks with commits
17.8/18Commit volume — 95 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year95
human_commit_share0.82
days_since_last_push4
active_weeks_last_year26

Release discipline

90Excellent
How it's scored
27/27Ships releases — 23 releases published
36/36Release recency — latest release 6 days ago
27/27Release cadence — a release every ~12.5 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count23
latest_release_tagv1.2.3
releases_from_tagsno
days_since_latest_release6
mean_days_between_releases12.5

Community & Adoption

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

60Moderate · 17% of overall

Popularity & adoption

30At Risk
How it's scored
18.6/60Stars — 15 stars
8.7/25Forks — 12 forks
2.7/15Watchers — 4 watchers
Inputs used
forks12
stars15
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

65Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (BSD-3-Clause)
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingno
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 21,073,650 downloads/month across npm, pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packages@jupyter/builder, jupyter_builder
dependents—
ecosystemsnpm, pypi
total_downloads—
monthly_downloads21,073,650
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?

77Good · 23% of overall

Maintainer resilience (bus factor)

38Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
8.2/22.5Commit distribution — top contributor authored 64% of commits
10.8/13.5Contributor breadth — 8 contributors
10/10OpenSSF Scorecard: Contributors — project has 36 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled8
top_contributor_share0.635

Issue & PR responsiveness

84Excellent
How it's scored
35.4/42Issue resolution — 84% of issues closed
25.5/30PR acceptance — 97/114 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
10.5/15OpenSSF Scorecard: Code-Review — Found 18/24 approved changesets -- score normalized to 7
Inputs used
merged_prs97
open_issues9
closed_issues48
prs_merged_7d2
prs_decided_7d2
prs_merged_30d4
prs_decided_30d4
issue_closed_ratio0.842
closed_unmerged_prs17
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1

Ownership & stewardship

98Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
23.1/25Owner reach — 1,616 followers of jupyterlab
25/25Track record — 67 public repos, account ~9 yr old
Inputs used
followers1,616
owner_typeOrganization
is_verifiedyes
owner_loginjupyterlab
public_repos67
account_age_days3,620

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 2 package(s) on npm, pypi
35/35Publish recency — latest publish 6 days ago
20/20Version history — 23 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packages@jupyter/builder, jupyter_builder
ecosystemsnpm, pypi
any_deprecatedno
min_days_since_publish6

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 8 workflow(s)
24/24Tests present
16/16Linter config — eslint.config.mjs, package.json ("prettier"), pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 24 out of 24 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

65Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://jupyter.org
10/10Repository description
10/10Topics — 2 topics
0/10Wiki
Inputs used
topicsbuild-tools, jupyterlab-extension
has_wikino
homepage—
docs_sitehttps://jupyter.org
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

62Moderate · 16% of overall

Security posture

52Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 24 out of 24 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
5.2/7.5Code-Review — Found 18/24 approved changesets -- score normalized to 7
2.5/2.5Contributors — project has 36 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 — 30 commit(s) and 23 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
5/5Security-Policy — security policy file 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 — 20 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.2
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_packages3
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_builder@1.2.3 runtime dependency closure — what installing the published package pulls in — 3 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.

61Moderate · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 81 of 82 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.988
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

70Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — eslint.config.mjs, package.json ("prettier"), pyproject.toml ([tool.ruff])
11/11Static type checking — jupyter_builder/py.typed, tsconfig.json
10/10Reproducible environment — lockfile
8/10Demonstrated agent practice — 4 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 18 of the last 100 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_files—
has_devcontainerno
has_linter_configyes
typecheck_configsjupyter_builder/py.typed, tsconfig.json
agent_commit_share0.04
toolchain_manifests—
dependency_bot_commit_share0.18

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (jupyter_builder/py.typed, tsconfig.json)
53.3/55Manageable file sizes — 1/33 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes2,233,059
source_files_sampled33
oversized_source_files1

Key facts

15GitHub stars
8contributors
95commits, last 12 months
4days since last push
23releases
1bus factor
9open 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 ★ / 12 ⇿
0Stars
12Forks
23Releases

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.

0246810121212024-032025-062026-09
Major 1Minor 2Patch 14

Each point covers 3 days.

OpenSSF Scorecard 5.2 / 10
5.2aggregate

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 · 2026-09-10 21:31 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests24 out of 24 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7Code-ReviewFound 18/24 approved changesets -- score normalized to 7
10Contributorsproject has 36 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 23 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
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities20 existing vulnerabilities detected
Direct dependencies 19
RegistryPackageVersion constraintManifest
npm@jupyterlab/core-meta^4.6.3package.json
npm@module-federation/runtime-tools^2.0.0package.json
npm@rspack/core^2.2.1package.json
npmajv^8.12.0package.json
npmcommander^9.4.1package.json
npmcss-loader^7.1.4package.json
npmduplicate-package-checker-webpack-plugin^3.0.0package.json
npmfs-extra^10.1.0package.json
npmglob^13.0.6package.json
npmlicense-webpack-plugin^4.0.2package.json
npmmini-svg-data-uri^1.4.4package.json
npmpath-browserify^1.0.0package.json
npmprocess^0.11.10package.json
npmstyle-loader^4.0.0package.json
npmsupports-color^7.2.0package.json
npmwebpack-merge^5.8.0package.json
PyPItraitlets—pyproject.toml
PyPIjupyter-core—pyproject.toml
PyPItomli—pyproject.toml
All dependencies 360

Full resolved dependency set from the GitHub dependency graph: 19 direct and 341 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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npmlru-cache10.4.3indirect
npmlru-cache11.5.1indirect
npmmath-intrinsics1.1.0indirect
npmmemorystream0.3.1indirect
npmminimatch10.2.5indirect
npmminimatch3.1.5indirect
npmminimatch9.0.9indirect
npmminipass7.1.3indirect
npmms2.1.3indirect
npmnanoid3.3.15indirect
npmnatural-compare1.4.0indirect
npmnice-try1.0.5indirect
npmnormalize-package-data2.5.0indirect
npmnpm-run-all4.1.5indirect
npmobject-inspect1.13.4indirect
npmobject-keys1.1.1indirect
npmobject.assign4.1.7indirect
npmoptionator0.9.4indirect
npmown-keys1.0.1indirect
npmp-limit3.1.0indirect
npmp-locate5.0.0indirect
npmpackage-json-from-dist1.0.1indirect
npmparent-module1.0.1indirect
npmparse-json4.0.0indirect
npmpath-exists4.0.0indirect
npmpath-key2.0.1indirect
npmpath-key3.1.1indirect
npmpath-parse1.0.7indirect
npmpath-scurry1.11.1indirect
npmpath-scurry2.0.2indirect
npmpath-type3.0.0indirect
npmpicocolors1.1.1indirect
npmpicomatch4.0.4indirect
npmpidtree0.3.1indirect
npmpify3.0.0indirect
npmpossible-typed-array-names1.1.0indirect
npmpostcss8.5.15indirect
npmpostcss-modules-extract-imports3.1.0indirect
npmpostcss-modules-local-by-default4.2.0indirect
npmpostcss-modules-scope3.2.1indirect
npmpostcss-modules-values4.0.0indirect
npmpostcss-selector-parser7.1.4indirect
npmpostcss-value-parser4.2.0indirect
npmprelude-ls1.2.1indirect
npmprettier3.8.3indirect
npmprettier-linter-helpers1.0.1indirect
npmpunycode2.3.1indirect
npmread-pkg3.0.0indirect
npmreflect.getprototypeof1.0.10indirect
npmregexp.prototype.flags1.5.4indirect
npmrequire-from-string2.0.2indirect
npmresolve1.22.12indirect
npmresolve-from4.0.0indirect
npmrimraf5.0.10indirect
npmsafe-array-concat1.1.4indirect
npmsafe-push-apply1.0.0indirect
npmsafe-regex-test1.1.0indirect
npmsemver5.7.2indirect
npmsemver7.7.4indirect
npmsemver7.8.5indirect
npmset-function-length1.2.2indirect
npmset-function-name2.0.2indirect
npmset-proto1.0.0indirect
npmshallow-clone3.0.1indirect
npmshebang-command1.2.0indirect
npmshebang-command2.0.0indirect
npmshebang-regex1.0.0indirect
npmshebang-regex3.0.0indirect
npmshell-quote1.8.3indirect
npmside-channel1.1.0indirect
npmside-channel-list1.0.1indirect
npmside-channel-map1.0.1indirect
npmside-channel-weakmap1.0.2indirect
npmsignal-exit4.1.0indirect
npmsource-map-js1.2.1indirect
npmspdx-correct3.2.0indirect
npmspdx-exceptions2.5.0indirect
npmspdx-expression-parse3.0.1indirect
npmspdx-license-ids3.0.23indirect
npmstop-iteration-iterator1.1.0indirect
npmstring-width5.1.2indirect
npmstring-width-cjs4.2.3indirect
npmstring.prototype.padend3.1.6indirect
npmstring.prototype.trim1.2.10indirect
npmstring.prototype.trimend1.0.9indirect
npmstring.prototype.trimstart1.0.8indirect
npmstrip-ansi7.2.0indirect
npmstrip-ansi-cjs6.0.1indirect
npmstrip-bom3.0.0indirect
npmstrip-json-comments3.1.1indirect
npmsupports-preserve-symlinks-flag1.0.0indirect
npmsynckit0.11.12indirect
npmtinyglobby0.2.16indirect
npmts-api-utils2.5.0indirect
npmtslib2.8.1indirect
npmtype-check0.4.0indirect
npmtyped-array-buffer1.0.3indirect
npmtyped-array-byte-length1.0.3indirect
npmtyped-array-byte-offset1.0.4indirect
npmtyped-array-length1.0.7indirect
npmtypescript5.9.3indirect
npmtypescript-eslint8.59.2indirect
npmunbox-primitive1.1.0indirect
npmundici-types6.21.0indirect
npmundici-types7.19.2indirect
npmuniversalify2.0.1indirect
npmuri-js4.4.1indirect
npmutil-deprecate1.0.2indirect
npmvalidate-npm-package-license3.0.4indirect
npmwebpack-sources3.4.1indirect
npmwhich1.3.1indirect
npmwhich2.0.2indirect
npmwhich-boxed-primitive1.1.1indirect
npmwhich-builtin-type1.2.1indirect
npmwhich-collection1.0.2indirect
npmwhich-typed-array1.1.20indirect
npmwildcard2.0.1indirect
npmword-wrap1.2.5indirect
npmwrap-ansi8.1.0indirect
npmwrap-ansi-cjs7.0.0indirect
npmyocto-queue0.1.0indirect
PyPIcopier—indirect
PyPIcoverage—indirect
PyPIhatch-nodejs-version—indirect
PyPIhatchling—indirect
PyPIpytest—indirect
PyPIpytest-check-links—indirect
PyPIpytest-cov—indirect
PyPIruff0.16.0indirect
Dependency advisories 0

Installing pypi:jupyter_builder@1.2.3 pulls in 3 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 — npm, PyPI.