Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-17 00:13 UTC

jupyter / nbclient

A client library for executing notebooks. Formally nbconvert's ExecutePreprocessor

Python · Jupyter NotebookBSD-3-Clause★ 184 stars⑂ 67 forkssince Jan 2020View on GitHub ↗

jupyter/nbclient holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (84/100) and lowest on Vitality (54/100). It was last updated 41 days ago. 2 contributors account for most of its recent work.

83
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.

83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

Project JupyterOrganization
3,561 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
PyPInbclient0.11.0-4641 days agoexecutorjupyternotebookpipeline

Metrics by category

Vitality

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

54Moderate · 21% of overall
How it's scored
18/36Push recencylast push 41 days ago
3.5/36Commit cadence5/52 weeks with commits
10.6/18Commit volume14 commits in the last year
8/10OpenSSF Scorecard: Maintained8 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 8
Inputs used
commits_last_year14
human_commit_share
days_since_last_push41
active_weeks_last_year5
How it's scored
27/27Ships releases30 releases published
36/36Release recencylatest release 41 days ago
12.6/27Release cadencea release every ~126.3 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count30
latest_release_tagv0.11.0
releases_from_tagsno
days_since_latest_release41
mean_days_between_releases126.3

Community & Adoption

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

70Good · 17% of overall
How it's scored
36.7/60Stars184 stars
15.2/25Forks67 forks
4.3/15Watchers7 watchers
Inputs used
forks67
stars184
watchers7
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_badges
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

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

80Excellent · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
13.4/22.5Commit distributiontop contributor authored 40% of commits
13.5/13.5Contributor breadth45 contributors
10/10OpenSSF Scorecard: Contributorsproject has 81 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled45
top_contributor_share0.405
How it's scored
25.3/42Issue resolution60% of issues closed
26.3/30PR acceptance192/219 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
6/15OpenSSF Scorecard: Code-ReviewFound 11/25 approved changesets -- score normalized to 4
Inputs used
merged_prs192
open_issues48
closed_issues73
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.603
closed_unmerged_prs27
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
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 reach3,561 followers of jupyter
25/25Track record135 public repos, account ~12 yr old
Inputs used
followers3,561
owner_typeOrganization
is_verified
owner_loginjupyter
public_repos135
account_age_days4,467
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 41 days ago
20/20Version history46 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesnbclient
ecosystemspypi
any_deprecatedno
min_days_since_publish41

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall
How it's scored
24/24CI workflows6 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
6/20OpenSSF Scorecard: CI-Tests9 out of 23 merged PRs checked by a CI test -- score normalized to 3
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://nbclient.readthedocs.io/en/latest/
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepagehttps://nbclient.readthedocs.io/en/latest/
docs_sitehttps://nbclient.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?

65Good · 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
0.8/2.5CI-Tests9 out of 23 merged PRs checked by a CI test -- score normalized to 3
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3/7.5Code-ReviewFound 11/25 approved changesets -- score normalized to 4
2.5/2.5Contributorsproject has 81 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
6/7.5Maintained8 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 8
0/5Packagingno data
4.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
0/5SASTSAST tool is not run on all commits -- score normalized to 0
5/5Security-Policysecurity policy file detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
6/7.5Token-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_aggregate6.5
Excluded from scoring (no data or not applicable): Packaging. Remaining weights renormalized.

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 instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format config
11/11Static type checkingnbclient/py.typed
0/10Reproducible environment
0/10Demonstrated agent practiceno data
5/8Automated maintenancedependency automation configured, none observed in the sampled commits
9/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsnbclient/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
27/45Type-checkable codePython with type-check config (nbclient/py.typed)
51.8/55Manageable file sizes1/17 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes72,363
source_files_sampled17
oversized_source_files1
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

184GitHub stars
45contributors
14commits, last 12 months
41days since last push
30releases
2bus factor
48open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 6.5 / 10
6.5aggregate

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 · 2026-07-17 00:13 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
3CI-Tests9 out of 23 merged PRs checked by a CI test -- score normalized to 3
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 11/25 approved changesets -- score normalized to 4
10Contributorsproject has 81 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
8Maintained8 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 8
n/aPackagingpackaging workflow not detected
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
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.
8Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIjupyter_client>=7.0.0pyproject.toml
PyPIjupyter_core>=5.4.0pyproject.toml
PyPInbformat>=5.2.0pyproject.toml
PyPItraitlets>=5.13pyproject.toml
All dependencies 11

Full resolved dependency set from the GitHub dependency graph: 4 direct and 7 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIjupyter-clientdirect
PyPIjupyter-coredirect
PyPInbformatdirect
PyPItraitletsdirect
PyPIhatchlingindirect
PyPIipykernelindirect
PyPInbconvertindirect
PyPIpytestindirect
PyPIpytest-asyncioindirect
PyPIpytest-covindirect
PyPIsphinxindirect
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 v0.11.0 — full methodology · metrics wiki.

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