Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 08:52 UTC

jupyter / nbclassic

Jupyter Notebook as a Jupyter Server extension

JavaScript · Jupyter Notebook · PythonBSD-3-Clause★ 110 stars⑂ 66 forkssince Oct 2019View on GitHub ↗
KindCommand-line toolWeb interfaceDesktop applicationhow this is determined

jupyter/nbclassic holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Vitality (51/100). It was last updated 75 days ago. 6 contributors account for most of its recent work.

86
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.

86
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 72 is calibrated to 86 on the published index scale (record calibration 2026-08-02).

Ownership

Project JupyterOrganization
3,634 followers135 public repossince Apr 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPInbclassic1.3.32,258,18953360 days agointeractiveinterpreteripythonjupytershellweb

Metrics by category

Vitality

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

51Moderate · 21% of overall
How it's scored
18/36Push recency — last push 75 days ago
9.7/36Commit cadence — 14/52 weeks with commits
15.6/18Commit volume — 54 commits in the last year
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year54
human_commit_share0.66
days_since_last_push75
active_weeks_last_year14
How it's scored
27/27Ships releases — 41 releases published
16.2/36Release recency — latest release 360 days ago
19.8/27Release cadence — a release every ~99.5 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count41
latest_release_tagv1.3.3
releases_from_tagsno
days_since_latest_release360
mean_days_between_releases99.5

Community & Adoption

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

76Good · 17% of overall
How it's scored
33/60Stars — 110 stars
15.1/25Forks — 66 forks
6.2/15Watchers — 14 watchers
Inputs used
forks66
stars110
watchers14
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (BSD-3-Clause)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, readthedocs.org
has_pull_request_templateno
How it's scored
80/80Monthly downloads — 2,258,189 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesnbclassic
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,258,189
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?

82Excellent · 23% of overall
How it's scored
48.6/54Bus factor — 6 contributor(s) cover half of all commits
18.9/22.5Commit distribution — top contributor authored 16% of commits
13.5/13.5Contributor breadth — 98 contributors
10/10OpenSSF Scorecard: Contributors — project has 126 contributing companies or organizations
Inputs used
bus_factor6
contributors_sampled98
top_contributor_share0.161
How it's scored
29.1/42Issue resolution — 69% of issues closed
26.4/30PR acceptance — 266/302 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/3 approved changesets -- score normalized to 0
Inputs used
merged_prs266
open_issues32
closed_issues72
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.692
closed_unmerged_prs36
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 backing — organization-owned
0/20Verified domain
25/25Owner reach — 3,634 followers of jupyter
25/25Track record — 135 public repos, account ~12 yr old
Inputs used
followers3,634
owner_typeOrganization
is_verifiedno
owner_loginjupyter
public_repos135
account_age_days4,524
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
26/35Publish recency — latest publish 360 days ago
20/20Version history — 53 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesnbclassic
ecosystemspypi
any_deprecatedno
min_days_since_publish360

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows — 10 workflow(s)
24/24Tests present
16/16Linter config — .eslintrc.json, .flake8
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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://nbclassic.readthedocs.io/en/latest
10/10Repository description
10/10Topics — 3 topics
10/10Wiki
Inputs used
topicsjupyter, notebook, nbclassic
has_wikiyes
homepagehttps://nbclassic.readthedocs.io/en/latest
docs_sitehttps://nbclassic.readthedocs.io/en/latest
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

58Moderate · 16% of overall
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
0/7.5Code-Review — Found 0/3 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 126 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
5/5Fuzzing — project is fuzzed
2.5/2.5License — license file detected
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packaging — no data
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
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 — 39 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.7
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_packages78
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:nbclassic@1.3.3 runtime dependency closure — what installing the published package pulls in — 78 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
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
27.5/40Legible commit history — 34 of 66 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.515
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — .eslintrc.json, .flake8
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 34 of the last 100 commits are automated dependency updates
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfilesyarn.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.34
How it's scored
0/45Type-checkable code — JavaScript without a type-check config
54.4/55Manageable file sizes — 2/189 source files over 60KB
Inputs used
primary_languageJavaScript
largest_source_bytes126,040
source_files_sampled189
oversized_source_files2
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
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

110GitHub stars
98contributors
54commits, last 12 months
75days since last push
41releases
6bus factor
32open 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 ★ / 66 ⇿
0Stars
66Forks
41Releases

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.

01325385063756442019-102023-022026-06
Major 1Minor 7Patch 31

Each point covers 7 days.

OpenSSF Scorecard 4.7 / 10
4.7aggregate

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 · 2026-09-12 08:51 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
0Code-ReviewFound 0/3 approved changesets -- score normalized to 0
10Contributorsproject has 126 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is 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
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
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
0Vulnerabilities39 existing vulnerabilities detected
Direct dependencies 24
RegistryPackageVersion constraintManifest
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PyPInotebook-shim>=0.2.3pyproject.toml
All dependencies 484

Full resolved dependency set from the GitHub dependency graph: 27 direct and 457 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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npmcopy-anything2.0.6indirect
npmcopy-webpack-plugin13.0.1indirect
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npmcross-spawn7.0.6indirect
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npmfastest-levenshtein1.0.16indirect
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npmfind-up4.1.0indirect
npmflat5.0.2indirect
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npmfsevents2.3.3indirect
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npmgensync1.0.0-beta.2indirect
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npmgettext-to-messageformat0.3.1indirect
npmglob-parent5.1.2indirect
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npmglob-to-regexp0.4.1indirect
npmglobals11.12.0indirect
npmgopd1.2.0indirect
npmgraceful-fs4.2.11indirect
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npmhas-flag4.0.0indirect
npmhas-property-descriptors1.0.2indirect
npmhas-symbols1.1.0indirect
npmhas-tostringtag1.0.2indirect
npmhasown2.0.2indirect
npmhtmlparser26.1.0indirect
npmiconv-lite0.6.3indirect
npmignore5.3.2indirect
npmimage-size0.5.5indirect
npmimport-local3.2.0indirect
npminterpret2.2.0indirect
npmis-arguments1.2.0indirect
npmis-binary-path2.1.0indirect
npmis-core-module2.16.1indirect
npmis-date-object1.1.0indirect
npmis-extglob2.1.1indirect
npmis-glob4.0.3indirect
npmis-number7.0.0indirect
npmis-plain-object2.0.4indirect
npmis-plain-object5.0.0indirect
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npmis-what3.14.1indirect
npmisexe2.0.0indirect
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npmisomorphic-fetch2.2.1indirect
npmjest-worker27.5.1indirect
npmjs-tokens4.0.0indirect
npmjsesc3.0.2indirect
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npmjson-parse-even-better-errors2.3.1indirect
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npmjson-schema-merge-allof0.6.0indirect
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npmjson52.2.3indirect
npmjsonpointer5.0.1indirect
npmkind-of6.0.3indirect
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npmloader-runner4.3.1indirect
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npmlocate-path3.0.0indirect
npmlocate-path5.0.0indirect
npmlodash4.18.1indirect
npmlodash.debounce4.0.8indirect
npmloose-envify1.4.0indirect
npmlru-cache5.1.1indirect
npmlz-string1.5.0indirect
npmmake-dir2.1.0indirect
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npmmath-intrinsics1.1.0indirect
npmmerge-stream2.0.0indirect
npmmime1.6.0indirect
npmmime-db1.52.0indirect
npmmime-types2.1.35indirect
npmminimist1.2.8indirect
npmms2.1.3indirect
npmnanoid3.3.11indirect
npmneedle3.3.1indirect
npmneo-async2.6.2indirect
npmnode-fetch1.7.3indirect
npmnode-fetch2.7.0indirect
npmnode-releases2.0.27indirect
npmnormalize-path3.0.0indirect
npmnormalize.css8.0.1indirect
npmobject-assign4.1.1indirect
npmobject-inspect1.13.4indirect
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npmp-try2.2.0indirect
npmparse-node-version1.0.1indirect
npmparse-srcset1.0.2indirect
npmpath-browserify1.0.1indirect
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npmpo2json1.0.0-beta-3indirect
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npmprop-types15.8.1indirect
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npmpunycode1.4.1indirect
npmpunycode2.3.1indirect
npmqs6.14.2indirect
npmquerystringify2.2.0indirect
npmrandombytes2.1.0indirect
npmreact-is16.13.1indirect
npmreact-lifecycles-compat3.0.4indirect
npmreact-popper1.3.11indirect
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npmregexp.prototype.flags1.5.4indirect
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npmsource-map0.6.1indirect
npmsource-map-js1.2.1indirect
npmsource-map-support0.5.21indirect
npmsupports-color7.2.0indirect
npmsupports-color8.1.1indirect
npmsupports-preserve-symlinks-flag1.0.0indirect
npmtapable2.3.0indirect
npmterser5.39.0indirect
npmterser-webpack-plugin5.3.16indirect
npmtinyglobby0.2.15indirect
npmto-regex-range5.0.1indirect
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npmtree-kill1.2.2indirect
npmtslib2.3.1indirect
npmtslib2.5.3indirect
npmtslib2.8.1indirect
npmtyped-styles0.0.7indirect
npmtypestyle2.4.0indirect
npmua-parser-js0.7.40indirect
npmundici-types6.20.0indirect
npmunicode-canonical-property-names-ecmascript2.0.1indirect
npmunicode-match-property-ecmascript2.0.0indirect
npmunicode-match-property-value-ecmascript2.2.0indirect
npmunicode-property-aliases-ecmascript2.1.0indirect
npmupdate-browserslist-db1.2.3indirect
npmuri-js4.4.1indirect
npmurl0.11.4indirect
npmurl-parse1.5.10indirect
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
npmwarning4.0.3indirect
npmwatchpack2.5.1indirect
npmwebidl-conversions3.0.1indirect
npmwebpack5.104.1indirect
npmwebpack-cli4.10.0indirect
npmwebpack-merge5.10.0indirect
npmwebpack-sources3.3.3indirect
npmwhatwg-fetch3.6.20indirect
npmwhatwg-url5.0.0indirect
npmwhich2.0.2indirect
npmwildcard2.0.1indirect
npmws7.5.10indirect
npmyallist3.1.1indirect
PyPImyst-parser—indirect
PyPInbsphinx—indirect
PyPIpydata-sphinx-theme—indirect
PyPIsphinx—indirect
PyPIsphinx-rtd-theme—indirect
PyPIsphinxcontrib-github-alt—indirect
Dependency advisories 0

Installing pypi:nbclassic@1.3.3 pulls in 78 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.

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 statistics — PyPI.