Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-17 00:05 UTC

ipython / ipykernel

IPython Kernel for Jupyter

PythonBSD-3-Clause★ 729 stars⑂ 404 forkssince Apr 2015View on GitHub ↗
KindLibraryNetwork servicehow this is determined

ipython/ipykernel holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (96/100) and lowest on AI Readiness (48/100). It was last updated 2 days ago. 3 contributors account for most of its recent work.

94
overall / 100
Exceptional

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.

94
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 80 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

IPythonOrganization
548 followers28 public repossince Mar 2010

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIipykernel7.3.0-14436 days agointeractiveinterpretershellweb

Metrics by category

Vitality

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

89Excellent · 21% of overall
How it's scored
36/36Push recencylast push 2 days ago
23.5/36Commit cadence34/52 weeks with commits
18/18Commit volume131 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year131
human_commit_share
days_since_last_push2
active_weeks_last_year34
How it's scored
27/27Ships releases92 releases published
36/36Release recencylatest release 36 days ago
27/27Release cadencea release every ~33.4 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count92
latest_release_tagv7.3.0
releases_from_tagsno
days_since_latest_release36
mean_days_between_releases33.4

Community & Adoption

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

73Good · 17% of overall
How it's scored
46.4/60Stars729 stars
21.7/25Forks404 forks
8.1/15Watchers30 watchers
Inputs used
forks404
stars729
watchers30
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (BSD-3-Clause)
18/18CONTRIBUTING guide
0/13.5Code 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_conductno
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

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

81Excellent · 23% of overall
How it's scored
36/54Bus factor3 contributor(s) cover half of all commits
14.3/22.5Commit distributiontop contributor authored 36% of commits
13.5/13.5Contributor breadth100 contributors
10/10OpenSSF Scorecard: Contributorsproject has 150 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled100
top_contributor_share0.365
How it's scored
21.2/42Issue resolution50% of issues closed
26.8/30PR acceptance832/930 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
9/15OpenSSF Scorecard: Code-ReviewFound 5/8 approved changesets -- score normalized to 6
Inputs used
merged_prs832
open_issues283
closed_issues287
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.504
closed_unmerged_prs98
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
19.7/25Owner reach548 followers of ipython
22.6/25Track record28 public repos, account ~16 yr old
Inputs used
followers548
owner_typeOrganization
is_verified
owner_loginipython
public_repos28
account_age_days5,957
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 36 days ago
20/20Version history144 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesipykernel
ecosystemspypi
any_deprecatedno
min_days_since_publish36

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows7 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests13 out of 13 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 sitehttps://ipykernel.readthedocs.io/en/stable/
10/10Repository description
10/10Topics7 topics
10/10Wiki
Inputs used
topicsipython, ipython-kernel, jupyter, python, closember, jupyter-notebook, kernel
has_wikiyes
homepagehttps://ipykernel.readthedocs.io/en/stable/
docs_sitehttps://ipykernel.readthedocs.io/en/stable/
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-Tests13 out of 13 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
4.5/7.5Code-ReviewFound 5/8 approved changesets -- score normalized to 6
2.5/2.5Contributorsproject has 150 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
7.5/7.5Maintained30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
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_aggregate6.4
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.

48Weak · 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 checkingipykernel/py.typed
0/10Reproducible environment
0/10Demonstrated agent practiceno data
5/8Automated maintenancedependency automation configured, none observed in the sampled commits
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
has_devcontainerno
has_linter_configyes
typecheck_configsipykernel/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 (ipykernel/py.typed)
55/55Manageable file sizes0/82 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes57,007
source_files_sampled82
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

729GitHub stars
100contributors
131commits, last 12 months
2days since last push
92releases
3bus factor
283open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 6.4 / 10
6.4aggregate

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 00:05 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests13 out of 13 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 5/8 approved changesets -- score normalized to 6
10Contributorsproject has 150 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 2 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
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 13
RegistryPackageVersion constraintManifest
PyPIdebugpy>=1.6.5pyproject.toml
PyPIipython>=7.23.1pyproject.toml
PyPIcomm>=0.1.1pyproject.toml
PyPItraitlets>=5.4.0pyproject.toml
PyPIjupyter_client>=8.9.0pyproject.toml
PyPIjupyter_core>=5.1,!=6.0.*pyproject.toml
PyPInest_asyncio2>=1.7.0pyproject.toml
PyPItornado>=6.5.7pyproject.toml
PyPImatplotlib-inline>=0.1pyproject.toml
PyPIappnope>=0.1.2pyproject.toml
PyPIpyzmq>=25pyproject.toml
PyPIpsutil>=5.7pyproject.toml
PyPIpackaging>=22pyproject.toml
All dependencies 16

Full resolved dependency set from the GitHub dependency graph: 13 direct and 3 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIappnopedirect
PyPIcommdirect
PyPIdebugpydirect
PyPIipythondirect
PyPIjupyter-clientdirect
PyPIjupyter-coredirect
PyPImatplotlib-inlinedirect
PyPInest-asyncio2direct
PyPIpackagingdirect
PyPIpsutildirect
PyPIpyzmqdirect
PyPItornadodirect
PyPItraitletsdirect
PyPIhatchlingindirect
PyPIpytestindirect
PyPIpytest-asyncioindirect
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.