Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-13 02:28 UTC

jupyter / nbconvert

Jupyter Notebook Conversion

Python · Jupyter Notebook · JinjaBSD-3-Clause★ 1,933 stars⑂ 612 forkssince Apr 2015View on GitHub ↗
KindCommand-line toolPluginLibraryhow this is determined

jupyter/nbconvert holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (88/100) and lowest on Vitality (60/100). It was last updated 9 days ago. 4 contributors account for most of its recent work.

91
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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

Project JupyterOrganization
3,593 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
PyPInbconvert7.17.165,671,812103127 days agointeractiveinterpretershellweb

Metrics by category

Vitality

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

60Moderate · 21% of overall
How it's scored
28.8/36Push recencylast push 9 days ago
6.2/36Commit cadence9/52 weeks with commits
15/18Commit volume46 commits in the last year
0/10OpenSSF Scorecard: Maintained0 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year46
human_commit_share0.88
days_since_last_push9
active_weeks_last_year9
How it's scored
27/27Ships releases56 releases published
27/36Release recencylatest release 127 days ago
19.8/27Release cadencea release every ~88 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count56
latest_release_tagv7.17.1
releases_from_tagsno
days_since_latest_release127
mean_days_between_releases88

Community & Adoption

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

86Excellent · 17% of overall
How it's scored
53.3/60Stars1,933 stars
23.2/25Forks612 forks
9.4/15Watchers50 watchers
Inputs used
forks612
stars1,933
watchers50
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized 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

Sustainability & Governance

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

87Excellent · 23% of overall
How it's scored
43.2/54Bus factor4 contributor(s) cover half of all commits
19.1/22.5Commit distributiontop contributor authored 15% of commits
13.5/13.5Contributor breadth98 contributors
10/10OpenSSF Scorecard: Contributorsproject has 135 contributing companies or organizations
Inputs used
bus_factor4
contributors_sampled98
top_contributor_share0.153
How it's scored
22.8/42Issue resolution54% of issues closed
25.7/30PR acceptance872/1,019 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
6/15OpenSSF Scorecard: Code-ReviewFound 6/15 approved changesets -- score normalized to 4
Inputs used
merged_prs872
open_issues564
closed_issues674
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.544
closed_unmerged_prs147
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 domainverified-domain status not read for this organization
25/25Owner reach3,593 followers of jupyter
25/25Track record135 public repos, account ~12 yr old
Inputs used
followers3,593
owner_typeOrganization
is_verified
owner_loginjupyter
public_repos135
account_age_days4,494
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 127 days ago
20/20Version history103 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesnbconvert
ecosystemspypi
any_deprecatedno
min_days_since_publish127

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall
How it's scored
24/24CI workflows5 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests12 out of 12 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

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://nbconvert.readthedocs.io/
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics
has_wikino
homepagehttps://nbconvert.readthedocs.io/
docs_sitehttps://nbconvert.readthedocs.io/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

64Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
2.2/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests12 out of 12 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3/7.5Code-ReviewFound 6/15 approved changesets -- score normalized to 4
2.5/2.5Contributorsproject has 135 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
5/5Fuzzingproject is fuzzed
2.5/2.5Licenselicense file detected
0/7.5Maintained0 commit(s) and 1 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
4.5/5Security-Policysecurity policy file detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.5
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 advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages30
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:nbconvert@7.17.1 runtime dependency closure — what installing the published package pulls in — 30 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.

65Good · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
32.1/40Legible commit history53 of 88 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.602
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdocs/Makefile, nbconvert/templates/skeleton/Makefile
22/22Automated tests
11/11Lint / format config
11/11Static type checkingnbconvert/py.typed
0/10Reproducible environment
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance4 of the last 100 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
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile, nbconvert/templates/skeleton/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsnbconvert/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.04
How it's scored
27/45Type-checkable codePython with type-check config (nbconvert/py.typed)
55/55Manageable file sizes0/143 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes29,480
source_files_sampled143
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

1,933GitHub stars
98contributors
46commits, last 12 months
9days since last push
56releases
4bus factor
564open 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 ★ / 612 ⇿
0Stars
612Forks
56Releases

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.

010020030040050060059472015-042020-122026-08
Major 1Minor 19Patch 31

Each point covers 11 days.

OpenSSF Scorecard 5.5 / 10
5.5aggregate

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 · 2026-08-13 02:27 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests12 out of 12 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 6/15 approved changesets -- score normalized to 4
10Contributorsproject has 135 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 1 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
9Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 15
RegistryPackageVersion constraintManifest
PyPIbeautifulsoup4pyproject.toml
PyPIbleach!=5.0.0pyproject.toml
PyPIdefusedxmlpyproject.toml
PyPIimportlib_metadata>=3.6pyproject.toml
PyPIjinja2>=3.0pyproject.toml
PyPIjupyter_core>=4.7pyproject.toml
PyPIjupyterlab_pygmentspyproject.toml
PyPIMarkupSafe>=2.0pyproject.toml
PyPImistune>=2.0.3,<4pyproject.toml
PyPInbclient>=0.5.0pyproject.toml
PyPInbformat>=5.7pyproject.toml
PyPIpackagingpyproject.toml
PyPIpandocfilters>=1.4.1pyproject.toml
PyPIpygments>=2.4.1pyproject.toml
PyPItraitlets>=5.1pyproject.toml
All dependencies 15

Full resolved dependency set from the GitHub dependency graph: 15 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbeautifulsoup4direct
PyPIbleachdirect
PyPIdefusedxmldirect
PyPIimportlib-metadatadirect
PyPIjinja2direct
PyPIjupyter-coredirect
PyPIjupyterlab-pygmentsdirect
PyPImarkupsafedirect
PyPImistunedirect
PyPInbclientdirect
PyPInbformatdirect
PyPIpackagingdirect
PyPIpandocfiltersdirect
PyPIpygmentsdirect
PyPItraitletsdirect
Dependency advisories 0

Installing pypi:nbconvert@7.17.1 pulls in 30 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 v0.31.0 — full methodology · metrics wiki.

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