Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-17 00:37 UTC

jupyter-server / jupyter_server

The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications.

PythonBSD-3-Clause★ 564 stars⑂ 410 forkssince Sep 2016View on GitHub ↗
KindLibraryNetwork servicehow this is determined

jupyter-server/jupyter_server 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 (53/100). It was last updated 1 day ago. 4 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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

Jupyter ServerOrganization
131 followers20 public repossince Sep 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIjupyter_server2.20.0-15929 days agoipythonjupyter

Metrics by category

Vitality

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

82Excellent · 21% of overall
How it's scored
36/36Push recencylast push 1 days ago
17.3/36Commit cadence25/52 weeks with commits
17.7/18Commit volume93 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year93
human_commit_share
days_since_last_push1
active_weeks_last_year25
How it's scored
27/27Ships releases100 releases published
36/36Release recencylatest release 29 days ago
19.8/27Release cadencea release every ~82 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv2.20.0
releases_from_tagsno
days_since_latest_release29
mean_days_between_releases82

Community & Adoption

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

80Excellent · 17% of overall
How it's scored
44.6/60Stars564 stars
21.8/25Forks410 forks
8.4/15Watchers34 watchers
Inputs used
forks410
stars564
watchers34
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?

84Excellent · 23% of overall
How it's scored
43.2/54Bus factor4 contributor(s) cover half of all commits
16.9/22.5Commit distributiontop contributor authored 25% of commits
13.5/13.5Contributor breadth100 contributors
10/10OpenSSF Scorecard: Contributorsproject has 161 contributing companies or organizations
Inputs used
bus_factor4
contributors_sampled100
top_contributor_share0.249
How it's scored
26.6/42Issue resolution63% of issues closed
26.4/30PR acceptance968/1,101 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
9/15OpenSSF Scorecard: Code-ReviewFound 16/24 approved changesets -- score normalized to 6
Inputs used
merged_prs968
open_issues193
closed_issues335
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.634
closed_unmerged_prs133
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
15.2/25Owner reach131 followers of jupyter-server
21.3/25Track record20 public repos, account ~5 yr old
Inputs used
followers131
owner_typeOrganization
is_verified
owner_loginjupyter-server
public_repos20
account_age_days2,134
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 29 days ago
20/20Version history159 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesjupyter_server
ecosystemspypi
any_deprecatedno
min_days_since_publish29

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows6 workflow(s)
24/24Tests present
16/16Linter configeslint.config.mjs
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests21 out of 21 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://jupyter-server.readthedocs.io
10/10Repository description
10/10Topics2 topics
10/10Wiki
Inputs used
topicsjupyter, server
has_wikiyes
homepagehttps://jupyter-server.readthedocs.io
docs_sitehttps://jupyter-server.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

63Moderate · 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-Tests21 out of 21 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 16/24 approved changesets -- score normalized to 6
2.5/2.5Contributorsproject has 161 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 13 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
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
6/7.5Vulnerabilities2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.3
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.

53Moderate · 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 configeslint.config.mjs
11/11Static type checkingexamples/simple/src/tsconfig.json, jupyter_server/py.typed
10/10Reproducible environmentlockfile
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
lockfilespackage-lock.json
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsexamples/simple/src/tsconfig.json, jupyter_server/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 (examples/simple/src/tsconfig.json, jupyter_server/py.typed)
54.7/55Manageable file sizes1/202 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes122,721
source_files_sampled202
oversized_source_files1
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

564GitHub stars
100contributors
93commits, last 12 months
1days since last push
100releases
4bus factor
193open issues
npm, PyPIpackage ecosystems

More detail

OpenSSF Scorecard 6.3 / 10
6.3aggregate

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 00:37 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests21 out of 21 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 16/24 approved changesets -- score normalized to 6
10Contributorsproject has 161 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 13 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
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 21
RegistryPackageVersion constraintManifest
npmbootstrap^3.4.0package.json
npmcopyfiles^2.4.1package.json
PyPIanyio>=3.1.0pyproject.toml
PyPIargon2-cffi>=21.1pyproject.toml
PyPIjinja2>=3.0.3pyproject.toml
PyPIjupyter_client>=7.4.4pyproject.toml
PyPIjupyter_core>=4.12,!=5.0.*pyproject.toml
PyPIjupyter_server_terminals>=0.4.4pyproject.toml
PyPInbconvert>=6.4.4pyproject.toml
PyPInbformat>=5.3.0pyproject.toml
PyPIpackaging>=22.0pyproject.toml
PyPIprometheus_client>=0.9pyproject.toml
PyPIpywinpty>=2.0.1,!=3.0.4pyproject.toml
PyPIpyzmq>=24pyproject.toml
PyPISend2Trash>=1.8.2pyproject.toml
PyPIterminado>=0.8.3pyproject.toml
PyPItornado>=6.2.0pyproject.toml
PyPItraitlets>=5.6.0pyproject.toml
PyPIwebsocket-client>=1.7pyproject.toml
PyPIjupyter_events>=0.11.0pyproject.toml
PyPIoverrides>=5.0pyproject.toml
All dependencies 71

Full resolved dependency set from the GitHub dependency graph: 20 direct and 51 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
npmbootstrap3.4.1direct
npmcopyfiles2.4.1direct
PyPIanyiodirect
PyPIargon2-cffidirect
PyPIjinja2direct
PyPIjupyter-clientdirect
PyPIjupyter-coredirect
PyPIjupyter-eventsdirect
PyPIjupyter-server-terminalsdirect
PyPInbconvertdirect
PyPInbformatdirect
PyPIpackagingdirect
PyPIprometheus-clientdirect
PyPIpywinptydirect
PyPIpyzmqdirect
PyPIsend2trashdirect
PyPIterminadodirect
PyPItornadodirect
PyPItraitletsdirect
PyPIwebsocket-clientdirect
npmansi-regex5.0.1indirect
npmansi-styles4.3.0indirect
npmbalanced-match1.0.2indirect
npmbrace-expansion1.1.13indirect
npmcliui7.0.4indirect
npmcolor-convert2.0.1indirect
npmcolor-name1.1.4indirect
npmconcat-map0.0.1indirect
npmcore-util-is1.0.2indirect
npmemoji-regex8.0.0indirect
npmescalade3.1.1indirect
npmfs.realpath1.0.0indirect
npmget-caller-file2.0.5indirect
npmglob7.1.7indirect
npminflight1.0.6indirect
npminherits2.0.4indirect
npmis-fullwidth-code-point3.0.0indirect
npmisarray0.0.1indirect
npmisarray1.0.0indirect
npmminimatch3.1.5indirect
npmmkdirp1.0.4indirect
npmnoms0.0.0indirect
npmonce1.4.0indirect
npmpath-is-absolute1.0.1indirect
npmprocess-nextick-args2.0.1indirect
npmreadable-stream1.0.34indirect
npmreadable-stream2.3.7indirect
npmrequire-directory2.1.1indirect
npmsafe-buffer5.1.2indirect
npmstring-width4.2.2indirect
npmstring_decoder0.10.31indirect
npmstring_decoder1.1.1indirect
npmstrip-ansi6.0.0indirect
npmthrough22.0.5indirect
npmtypescript~4.7.3indirect
npmuntildify4.0.0indirect
npmutil-deprecate1.0.2indirect
npmwebpack^5.72.0indirect
npmwebpack-cli^5.0.0indirect
npmwrap-ansi7.0.0indirect
npmwrappy1.0.2indirect
npmxtend4.0.2indirect
npmy18n5.0.8indirect
npmyargs16.2.0indirect
npmyargs-parser20.2.9indirect
PyPIhatchlingindirect
PyPIjupyter-serverindirect
PyPIpytestindirect
PyPIpytest-jupyterindirect
PyPIsphinxindirect
PyPIsphinxcontrib-openapiindirect
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.