Public record
Software health reportschema 0.29.0 · metrics 2.10.0 · 2026-08-02 21:19 UTC

serapeum-org / cleopatra

Matplotlib utility package

PythonGPL-3.0★ 1 star⑂ 0 forkssince May 2022View on GitHub ↗

serapeum-org/cleopatra holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Community & Adoption (49/100). It was last updated today. A single contributor accounts 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

SerapeumOrganization
12 followers32 public repossince Dec 2022

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIcleopatra0.28.08,056470 days agomatplotlibvisualization

Metrics by category

Vitality

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

83Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
9/36Commit cadence13/52 weeks with commits
16.4/18Commit volume66 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year66
human_commit_share0.97
days_since_last_push0
active_weeks_last_year13

Release discipline

100Exceptional
How it's scored
27/27Ships releases48 releases published
36/36Release recencylatest release 0 days ago
27/27Release cadencea release every ~4.1 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count48
latest_release_tag0.28.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases4.1
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

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

49Weak · 17% of overall
How it's scored
0/60Stars1 stars
0/25Forks0 forks
0/15Watchers0 watchers
Inputs used
forks0
stars1
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (GPL-3.0)
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_badges9
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, codecov.io, shields.io
has_pull_request_templateyes
How it's scored
52.1/80Monthly downloads8,056 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagescleopatra
dependents
ecosystemspypi
total_downloads
monthly_downloads8,056
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?

61Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0.2/22.5Commit distributiontop contributor authored 99% of commits
2.7/13.5Contributor breadth2 contributors
10/10OpenSSF Scorecard: Contributorsproject has 5 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.992
How it's scored
38.3/42Issue resolution91% of issues closed
20.3/30PR acceptance102/151 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/28 approved changesets -- score normalized to 0
Inputs used
merged_prs102
open_issues8
closed_issues82
prs_merged_7d8
prs_decided_7d8
prs_merged_30d31
prs_decided_30d31
issue_closed_ratio0.911
closed_unmerged_prs49
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
8/25Owner reach12 followers of serapeum-org
18.3/25Track record32 public repos, account ~3 yr old
Inputs used
followers12
owner_typeOrganization
is_verified
owner_loginserapeum-org
public_repos32
account_age_days1,321
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 0 days ago
20/20Version history47 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagescleopatra
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows4 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests28 out of 28 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://github.com/serapeum-org/cleopatra
10/10Repository description
10/10Topics3 topics
10/10Wiki
Inputs used
topicsplots, python, visualizations
has_wikiyes
homepagehttps://github.com/serapeum-org/cleopatra
docs_sitehttps://github.com/serapeum-org/cleopatra
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

58Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2.5/2.5CI-Tests28 out of 28 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
0/7.5Code-ReviewFound 0/28 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 5 contributing companies or organizations
0/10Dangerous-Workflowdangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
5/5Pinned-Dependenciesall dependencies are pinned
5/5SASTSAST tool is run on all commits
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities72 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4.7
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories130
affected_packages17
assessed_packages188
unassessed_packages0
affected_by_severitycritical 2, high 6, moderate 7, low 1, unknown 1
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 188 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

58Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history81 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.835
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance3 of the last 100 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependenciesall dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.03
How it's scored
0/45Type-checkable codePython without a type-check config
46.5/55Manageable file sizes9/58 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes298,464
source_files_sampled58
oversized_source_files9
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 examplesexamples, 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

1GitHub stars
2contributors
66commits, last 12 months
0days since last push
48releases
1bus factor
8open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:cleopatra@0.28.0; advisories assessed against the repository dependency graph instead
  • Advisory severity resolved for 120 of 130 advisories (lookup cap); the remainder are reported as unknown severity

More detail

OpenSSF Scorecard 4.7 / 10
4.7aggregate

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 · 2026-08-02 21:19 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-Tests28 out of 28 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/28 approved changesets -- score normalized to 0
10Contributorsproject has 5 contributing companies or organizations
0Dangerous-Workflowdangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
10Pinned-Dependenciesall dependencies are pinned
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities72 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPInumpy>=2.0.0pyproject.toml
PyPImatplotlib>=3.9pyproject.toml
PyPIimageio-ffmpeg>=0.4.9pyproject.toml
PyPIhpc-utils>=0.1.4pyproject.toml
All dependencies 188

Full resolved dependency set from the GitHub dependency graph: 4 direct and 184 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIhpc-utils0.1.5direct
PyPIimageio-ffmpeg0.6.0direct
PyPImatplotlib3.10.8direct
PyPInumpy2.4.3direct
PyPIanyio4.12.1indirect
PyPIappnope0.1.4indirect
PyPIargcomplete3.6.3indirect
PyPIargon2-cffi25.1.0indirect
PyPIargon2-cffi-bindings25.1.0indirect
PyPIarrow1.4.0indirect
PyPIast-serialize0.6.0indirect
PyPIasttokens3.0.1indirect
PyPIasync-lru2.2.0indirect
PyPIattrs25.4.0indirect
PyPIbabel2.18.0indirect
PyPIbackrefs6.2indirect
PyPIbeautifulsoup44.14.3indirect
PyPIbleach6.3.0indirect
PyPIcertifi2026.2.25indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.6indirect
PyPIcleopatra0.27.0indirect
PyPIclick8.3.1indirect
PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
PyPIcommitizen4.13.9indirect
PyPIcontourpy1.3.3indirect
PyPIcoverage7.13.4indirect
PyPIcycler0.12.1indirect
PyPIdebugpy1.8.20indirect
PyPIdecli0.6.3indirect
PyPIdecorator5.2.1indirect
PyPIdefusedxml0.7.1indirect
PyPIdeprecated1.3.1indirect
PyPIdistlib0.4.0indirect
PyPIeditorconfig0.17.1indirect
PyPIentrypoints0.4indirect
PyPIexecuting2.2.1indirect
PyPIfastjsonschema2.21.2indirect
PyPIfilelock3.25.2indirect
PyPIfonttools4.62.1indirect
PyPIfqdn1.5.1indirect
PyPIghp-import2.1.0indirect
PyPIgriffelib2.0.0indirect
PyPIh110.16.0indirect
PyPIhjson3.1.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidentify2.6.18indirect
PyPIidna3.11indirect
PyPIiniconfig2.3.0indirect
PyPIipykernel6.29.5indirect
PyPIipython9.10.0indirect
PyPIipython9.11.0indirect
PyPIipython-genutils0.2.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIipywidgets8.1.8indirect
PyPIisoduration20.11.0indirect
PyPIjedi0.19.2indirect
PyPIjinja23.1.6indirect
PyPIjsbeautifier1.15.4indirect
PyPIjson50.13.0indirect
PyPIjsonpointer3.0.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter1.1.1indirect
PyPIjupyter-client7.4.9indirect
PyPIjupyter-console6.6.3indirect
PyPIjupyter-contrib-core0.4.2indirect
PyPIjupyter-contrib-nbextensions0.7.0indirect
PyPIjupyter-core5.9.1indirect
PyPIjupyter-events0.12.0indirect
PyPIjupyter-highlight-selected-word0.2.0indirect
PyPIjupyter-lsp2.3.0indirect
PyPIjupyter-nbextensions-configurator0.6.4indirect
PyPIjupyter-server2.17.0indirect
PyPIjupyter-server-terminals0.5.4indirect
PyPIjupyterlab4.5.6indirect
PyPIjupyterlab-pygments0.3.0indirect
PyPIjupyterlab-server2.28.0indirect
PyPIjupyterlab-widgets3.0.16indirect
PyPIjupytext1.19.1indirect
PyPIkiwisolver1.5.0indirect
PyPIlark1.3.1indirect
PyPIlibrt0.13.0indirect
PyPIlxml6.0.2indirect
PyPImarkdown3.10.2indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.1indirect
PyPImdit-py-plugins0.5.0indirect
PyPImdurl0.1.2indirect
PyPImergedeep1.3.4indirect
PyPImike2.1.4indirect
PyPImistune3.2.0indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-jupyter0.25.1indirect
PyPImkdocs-macros-plugin1.5.0indirect
PyPImkdocs-material9.7.5indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocs-mermaid2-plugin1.2.3indirect
PyPImkdocs-table-reader-plugin3.1.0indirect
PyPImkdocstrings1.0.3indirect
PyPImkdocstrings-python2.0.3indirect
PyPImypy2.3.0indirect
PyPImypy-extensions1.1.0indirect
PyPInbclassic1.3.3indirect
PyPInbclient0.10.4indirect
PyPInbconvert7.17.0indirect
PyPInbformat5.10.4indirect
PyPInbval0.11.0indirect
PyPInest-asyncio1.6.0indirect
PyPInodeenv1.10.0indirect
PyPInotebook6.5.7indirect
PyPInotebook-shim0.2.4indirect
PyPIoverrides7.7.0indirect
PyPIpackaging26.0indirect
PyPIpaginate0.5.7indirect
PyPIpandas3.0.1indirect
PyPIpandocfilters1.5.1indirect
PyPIparso0.8.6indirect
PyPIpathspec1.0.4indirect
PyPIpexpect4.9.0indirect
PyPIpillow12.1.1indirect
PyPIplatformdirs4.9.4indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.5.1indirect
PyPIpre-commit-hooks6.0.0indirect
PyPIprometheus-client0.24.1indirect
PyPIprompt-toolkit3.0.51indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpycparser3.0indirect
PyPIpygments2.19.2indirect
PyPIpymdown-extensions10.21indirect
PyPIpyparsing3.3.2indirect
PyPIpyproj3.7.2indirect
PyPIpytest9.0.2indirect
PyPIpytest-cov7.0.0indirect
PyPIpytest-env1.6.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.1.3indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-json-logger4.0.0indirect
PyPIpywinpty3.0.3indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIpyzmq27.1.0indirect
PyPIquestionary2.1.1indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.32.5indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrpds-py0.30.0indirect
PyPIruamel-yaml0.19.1indirect
PyPIsend2trash2.1.0indirect
PyPIsetuptools82.0.1indirect
PyPIsix1.17.0indirect
PyPIsoupsieve2.8.3indirect
PyPIstack-data0.6.3indirect
PyPIsuper-collections0.6.2indirect
PyPItabulate0.10.0indirect
PyPItermcolor3.3.0indirect
PyPIterminado0.18.1indirect
PyPItinycss21.4.0indirect
PyPItomli2.4.0indirect
PyPItomlkit0.14.0indirect
PyPItornado6.5.5indirect
PyPItraitlets5.14.3indirect
PyPItyping-extensions4.15.0indirect
PyPItzdata2025.3indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.6.3indirect
PyPIverspec0.1.0indirect
PyPIvirtualenv21.2.0indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.6.0indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwidgetsnbextension4.0.15indirect
PyPIwrapt2.1.2indirect
PyPIxyzservices2026.3.0indirect
Dependency advisories 17

This repository publishes no package the index resolves, so its own dependency graph was assessed — 188 packages, which also include development and test pins that never ship: 17 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
jupyterlab4.5.6indirectcritical127.5.6
pillow12.1.1indirectcritical3612.3.0
click8.3.1indirecthigh18.3.3
jupyter-server2.17.0indirecthigh122.20.0
lxml6.0.2indirecthigh26.1.0
mistune3.2.0indirecthigh323.3.0
soupsieve2.8.3indirecthigh42.8.4
tornado6.5.5indirecthigh76.5.6
bleach6.3.0indirectmoderate36.4.0
idna3.11indirectmoderate23.15
nbconvert7.17.0indirectmoderate47.17.1
pymdown-extensions10.21indirectmoderate311.0.0
pytest9.0.2indirectmoderate29.0.3
requests2.32.5indirectmoderate22.33.0
setuptools82.0.1indirectmoderate283.0.0
pygments2.19.2indirectlow22.20.0
urllib32.6.3indirectunknown4

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 v0.29.0 — full methodology · metrics wiki.

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