Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 19:09 UTC

holoviz / panel

Panel: The powerful data exploration & web app framework for Python

Python · TypeScriptBSD-3-Clause★ 5,762 stars⑂ 624 forkssince Aug 2018View on GitHub ↗
KindLibraryCommand-line toolWeb interfacehow this is determined
#holoviz#panel#dashboards#control-panels#gui#dataapp#dataviz#bokeh#datascience#holoviews#hvplot#jupyter#matplotlib#plotly

holoviz/panel holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (96/100) and lowest on Sustainability & Governance (69/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

96
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.

96
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 84 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

HoloVizOrganization
449 followers15 public repossince Jun 2019

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIpanel1.9.43,441,12547710 days ago
npm@holoviz/panel1.9.411,45251110 days ago

Metrics by category

Vitality

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

93Exceptional · 21% of overall

Development activity

95Exceptional
How it's scored
36/36Push recency — last push 1 days ago
31.2/36Commit cadence — 45/52 weeks with commits
18/18Commit volume — 435 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year435
human_commit_share0.84
days_since_last_push1
active_weeks_last_year45

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 10 days ago
27/27Release cadence — a release every ~22.5 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv1.9.4
releases_from_tagsno
days_since_latest_release10
mean_days_between_releases22.5

Community & Adoption

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

94Exceptional · 17% of overall

Popularity & adoption

93Exceptional
How it's scored
60/60Stars — 5,762 stars
23.3/25Forks — 624 forks
10/15Watchers — 65 watchers
Inputs used
forks624
stars5,762
watchers65
growth_stateorganic
growth_factor_pct100

Community health

92Excellent
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
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges16
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 3,452,577 downloads/month across npm, pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespanel, @holoviz/panel
dependents—
ecosystemsnpm, pypi
total_downloads—
monthly_downloads3,452,577
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?

69Good · 23% of overall

Maintainer resilience (bus factor)

40Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
7.6/22.5Commit distribution — top contributor authored 66% of commits
13.5/13.5Contributor breadth — 97 contributors
10/10OpenSSF Scorecard: Contributors — project has 60 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled97
top_contributor_share0.663

Issue & PR responsiveness

78Good
How it's scored
31.1/42Issue resolution — 74% of issues closed
28.1/30PR acceptance — 4,237/4,528 decided PRs merged
13/13Newcomer PR acceptance — 3/3 first-time contributors' PRs merged in 30d
6/15OpenSSF Scorecard: Code-Review — Found 13/30 approved changesets -- score normalized to 4
Inputs used
merged_prs4,237
open_issues1,069
closed_issues3,046
prs_merged_7d9
prs_decided_7d9
prs_merged_30d26
prs_decided_30d26
issue_closed_ratio0.74
closed_unmerged_prs291
first_time_authors_30d2
first_time_prs_merged_30d3
first_time_prs_decided_30d3

Ownership & stewardship

70Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
19.1/25Owner reach — 449 followers of holoviz
20.8/25Track record — 15 public repos, account ~7 yr old
Inputs used
followers449
owner_typeOrganization
is_verifiedno
owner_loginholoviz
public_repos15
account_age_days2,634

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 2 package(s) on npm, pypi
35/35Publish recency — latest publish 10 days ago
20/20Version history — 511 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespanel, @holoviz/panel
ecosystemsnpm, pypi
any_deprecatedno
min_days_since_publish10

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 9 workflow(s)
24/24Tests present
16/16Linter config — eslint.config.js, pyproject.toml ([tool.ruff], [tool.isort])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 19 out of 19 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://panel.holoviz.org
10/10Repository description
10/10Topics — 14 topics
10/10Wiki
Inputs used
topicsholoviz, panel, dashboards, control-panels, gui, dataapp, dataviz, bokeh, datascience, holoviews, hvplot, jupyter, matplotlib, plotly
has_wikiyes
homepagehttps://panel.holoviz.org
docs_sitehttps://panel.holoviz.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

74Good · 16% of overall

Security posture

67Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 19 out of 19 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
3/7.5Code-Review — Found 13/30 approved changesets -- score normalized to 4
2.5/2.5Contributors — project has 60 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 38 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.7
Excluded from scoring (no data or not applicable): Branch-Protection. 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_packages31
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:panel@1.9.4 runtime dependency closure — what installing the published package pulls in — 31 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.

75Good · 4% of overall

Agent context & guidance

55Moderate
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://panel.holoviz.org/llms.txt)
40/40Legible commit history — 69 of 84 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://panel.holoviz.org/llms.txt
legible_history_share0.821
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

79Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — eslint.config.js, pyproject.toml ([tool.ruff], [tool.isort])
11/11Static type checking — panel/py.typed, panel/tsconfig.json
10/10Reproducible environment — lockfile
8/10Demonstrated agent practice — 4 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 15 of the last 100 commits are automated dependency updates
9/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configspanel/py.typed, panel/tsconfig.json
agent_commit_share0.04
toolchain_manifests—
dependency_bot_commit_share0.15

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (panel/py.typed, panel/tsconfig.json)
54.4/55Manageable file sizes — 6/550 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes151,043
source_files_sampled550
oversized_source_files6

Machine-readable interfaces

100Exceptional
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

5,762GitHub stars
97contributors
435commits, last 12 months
1days since last push
100releases
1bus factor
1,069open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-19: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 5762 stars today.

More detail

Star and fork history 5,719 ★ / 624 ⇿
5,719Stars
624Forks
100Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

Star history is shown as collected on 2026-07-19. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

01,0002,0003,0004,0005,0006,0005,719618382018-102022-092026-08
Major 1Minor 20Patch 79

Each point covers 8 days.

OpenSSF Scorecard 6.7 / 10
6.7aggregate

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 · 2026-08-27 19:08 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests19 out of 19 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 13/30 approved changesets -- score normalized to 4
10Contributorsproject has 60 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities38 existing vulnerabilities detected
Direct dependencies 25
RegistryPackageVersion constraintManifest
npm@bokeh/bokehjs^3.10.0panel/package.json
npm@types/debounce^1.2.0panel/package.json
npm@types/gl-matrix^2.4.5panel/package.json
npmace-code^1.40.1panel/package.json
npmdebounce^1.2.0panel/package.json
npmgl-matrix^3.4.3panel/package.json
npmhtm^3.1.1panel/package.json
npmjson-formatter-js^2.2.1panel/package.json
npmpreact^10.26.6panel/package.json
npmsucrase^3.35.0panel/package.json
PyPIbokeh>=3.10.0,<3.11.0pyproject.toml
PyPIparam>=2.1.0,<3.0pyproject.toml
PyPIpyviz_comms>=2.0.0pyproject.toml
PyPIpanel-material-ui>=0.10.0pyproject.toml
PyPImarkdown—pyproject.toml
PyPImarkdown-it-py—pyproject.toml
PyPIlinkify-it-py—pyproject.toml
PyPImdit-py-plugins—pyproject.toml
PyPInarwhals>=2pyproject.toml
PyPIrequests—pyproject.toml
PyPInh3—pyproject.toml
PyPItyping_extensions—pyproject.toml
PyPIpandas>=1.2pyproject.toml
PyPIpackaging—pyproject.toml
PyPItqdm—pyproject.toml
All dependencies 237

Full resolved dependency set from the GitHub dependency graph: 32 direct and 205 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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npm@types/debounce1.2.4direct
npm@types/gl-matrix2.4.5direct
npmace-code1.41.0direct
npmdebounce1.2.1direct
npmgl-matrix3.4.3direct
npmhtm3.1.1direct
npmjson-formatter-js2.5.18direct
npmpreact10.28.4direct
npmsucrase3.35.1direct
PyPIbokeh—direct
PyPIbokeh3.8.0direct
PyPIbokeh3.8.2direct
PyPIlinkify-it-py—direct
PyPImarkdown—direct
PyPImarkdown3.8.1direct
PyPImarkdown-it-py—direct
PyPImdit-py-plugins—direct
PyPInarwhals—direct
PyPInh3—direct
PyPIpackaging—direct
PyPIpackaging20.0direct
PyPIpandas—direct
PyPIpandas0.25.3direct
PyPIpanel-material-ui—direct
PyPIparam—direct
PyPIparam1.9.3direct
PyPIpyviz-comms—direct
PyPIpyviz-comms0.7.4direct
PyPIrequests—direct
PyPItqdm—direct
PyPItyping-extensions—direct
npm@babel/runtime7.26.10indirect
npm@bokeh/numbro1.6.2indirect
npm@eslint-community/eslint-utils4.9.1indirect
npm@eslint-community/regexpp4.12.2indirect
npm@eslint/config-array0.23.5indirect
npm@eslint/config-helpers0.6.0indirect
npm@eslint/core1.2.1indirect
npm@eslint/object-schema3.0.5indirect
npm@eslint/plugin-kit0.7.2indirect
npm@humanfs/core0.19.1indirect
npm@humanfs/node0.16.7indirect
npm@humanwhocodes/module-importer1.0.1indirect
npm@humanwhocodes/retry0.4.3indirect
npm@jridgewell/gen-mapping0.3.5indirect
npm@jridgewell/resolve-uri3.1.2indirect
npm@jridgewell/set-array1.2.1indirect
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npmtypescript-eslint8.56.1indirect
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PyPIautobahn20.12.3indirect
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PyPIbokeh-django0.3.0indirect
PyPIbokeh-fastapi—indirect
PyPIcffi1.13.2indirect
PyPIchannels0.7.0indirect
PyPIchannels2.4.0indirect
PyPIcolorcet2.0.5indirect
PyPIconstantly15.1.0indirect
PyPIcryptography50.0.0indirect
PyPIdaphne4.2.2indirect
PyPIdjango5.2.16indirect
PyPIdjango5.2.7indirect
PyPIholoviews—indirect
PyPIholoviews1.13.2indirect
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PyPIhyperlink20.0.1indirect
PyPIidna3.15indirect
PyPIincremental21.3.0indirect
PyPIjinja23.1.6indirect
PyPIjupyter-bokeh—indirect
PyPIjupyter-server-proxy—indirect
PyPIjupyter-vscode-proxy—indirect
PyPImarkupsafe1.1.1indirect
PyPInumpy1.22.0indirect
PyPIpanel—indirect
PyPIpanel0.9.3indirect
PyPIpanel1.8.3indirect
PyPIpillow12.3.0indirect
PyPIpyarrow—indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.2.7indirect
PyPIpycparser2.19indirect
PyPIpyct0.4.6indirect
PyPIpyecharts—indirect
PyPIpyhamcrest1.9.0indirect
PyPIpyopenssl26.0.0indirect
PyPIpyparsing2.4.6indirect
PyPIpytest-rerunfailures—indirect
PyPIpython-dateutil2.8.1indirect
PyPIpytz2019.3indirect
PyPIpyyaml5.4indirect
PyPIservice-identity18.1.0indirect
PyPIsetuptools83.0.0indirect
PyPIsix1.13.0indirect
PyPIsqlparse0.5.4indirect
PyPItornado6.5.7indirect
PyPItwisted26.4.0rc2indirect
PyPItxaio20.4.1indirect
PyPIxlsxwriter—indirect
PyPIzope-interface4.7.1indirect
Dependency advisories 0

Installing pypi:panel@1.9.4 pulls in 31 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.

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91panel-extensions/panel-material-uiAn extension for Panel that integrates Material UI components, enabling developers to create modern, responsive, and visually consistent web apps in Python with easeExcellent86holoviz/colorcetA set of useful perceptually uniform colormaps for plotting scientific dataExcellent98bokeh/bokehInteractive Data Visualization in the browser, from PythonExceptional96plotly/dashData Apps & Dashboards for Python. No JavaScript Required.Exceptional88Kanaries/pygwalkerPyGWalker: Turn your dataframe into an interactive UI for visual analysisExcellent96plotly/plotly.pyThe interactive graphing library for Python :sparkles:Exceptional

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, npm.