Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-23 15:26 UTC

xgi-org / xgi

CompleX Group Interactions (XGI) is a Python package for higher-order networks.

Jupyter Notebook · PythonCustom license★ 254 stars⑂ 51 forkssince Sep 2021View on GitHub ↗

xgi-org/xgi holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (90/100) and lowest on Community & Adoption (59/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

88
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.

88
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

37 followers3 public repossince Jun 2021

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIxgi0.10.24,5644799 days agonetworkshigher-orderhigher-order-networkhypergraphsimplicial-complexnetwork-science

Metrics by category

Vitality

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

81Excellent · 21% of overall
How it's scored
36/36Push recencylast push 1 days ago
16.6/36Commit cadence24/52 weeks with commits
18/18Commit volume146 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year146
human_commit_share1
days_since_last_push1
active_weeks_last_year24
How it's scored
27/27Ships releases47 releases published
27/36Release recencylatest release 99 days ago
19.8/27Release cadencea release every ~68.9 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count47
latest_release_tagv0.10.2
releases_from_tagsno
days_since_latest_release99
mean_days_between_releases68.9
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?

59Moderate · 17% of overall
How it's scored
39/60Stars254 stars
14.2/25Forks51 forks
5/15Watchers9 watchers
Inputs used
forks51
stars254
watchers9
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5Licenselicense file present, not a recognized license
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingno
has_issue_templateno
has_code_of_conductyes
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_templateno
How it's scored
48.8/80Monthly downloads4,564 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesxgi
dependents
ecosystemspypi
total_downloads
monthly_downloads4,564
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
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
10.1/22.5Commit distributiontop contributor authored 55% of commits
13.5/13.5Contributor breadth24 contributors
10/10OpenSSF Scorecard: Contributorsproject has 8 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled24
top_contributor_share0.553
How it's scored
35.3/42Issue resolution84% of issues closed
27.2/30PR acceptance379/418 decided PRs merged
13/13Newcomer PR acceptance2/2 first-time contributors' PRs merged in 30d
12/15OpenSSF Scorecard: Code-ReviewFound 18/21 approved changesets -- score normalized to 8
Inputs used
merged_prs379
open_issues53
closed_issues279
prs_merged_7d5
prs_decided_7d5
prs_merged_30d9
prs_decided_30d10
issue_closed_ratio0.84
closed_unmerged_prs39
first_time_authors_30d2
first_time_prs_merged_30d2
first_time_prs_decided_30d2
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domain
11.4/25Owner reach37 followers of xgi-org
14.8/25Track record3 public repos, account ~5 yr old
Inputs used
followers37
owner_typeOrganization
is_verifiedno
owner_loginxgi-org
public_repos3
account_age_days1,908

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 99 days ago
20/20Version history47 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesxgi
ecosystemspypi
any_deprecatedno
min_days_since_publish99

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall
How it's scored
24/24CI workflows6 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.isort])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests19 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_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://xgi.readthedocs.io
10/10Repository description
10/10Topics6 topics
10/10Wiki
Inputs used
topicshypergraphs, higher-order-networks, network-science, higher-order, graph-analysis, simplicial-complexes
has_wikiyes
homepagehttps://xgi.readthedocs.io
docs_sitehttps://xgi.readthedocs.io
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
0/7.5Branch-Protectionno data
2.5/2.5CI-Tests19 out of 19 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
6/7.5Code-ReviewFound 18/21 approved changesets -- score normalized to 8
2.5/2.5Contributorsproject has 8 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.2/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
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
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.6
Excluded from scoring (no data or not applicable): Branch-Protection, 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
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages22
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:xgi@0.10.2 runtime dependency closure — what installing the published package pulls in — 22 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.

82Excellent · 4% of overall
How it's scored
45/45Agent instructionsAGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history87 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.87
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes3,042
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.isort])
11/11Static type checkingxgi/py.typed
0/10Reproducible environment
10/10Demonstrated agent practice46 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
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_configsxgi/py.typed
agent_commit_share0.46
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codeJupyter Notebook with type-check config (xgi/py.typed)
54.6/55Manageable file sizes1/150 source files over 60KB
Inputs used
primary_languageJupyter Notebook
largest_source_bytes88,841
source_files_sampled150
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 examplesexamples, notebooks, recipes
Inputs used
example_dirsexamples, notebooks, recipes
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

254GitHub stars
24contributors
146commits, last 12 months
1days since last push
47releases
1bus factor
53open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 51 ⇿
0Stars
51Forks
41Releases

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.

01020304050605122022-042024-062026-08
Major 0Minor 1Patch 33

Each point covers 4 days.

OpenSSF Scorecard 5.6 / 10
5.6aggregate

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 · 2026-08-23 15:26 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during GetBranch(main): error during branchesHandler.query: 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
8Code-ReviewFound 18/21 approved changesets -- score normalized to 8
10Contributorsproject has 8 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPInumpy>=1.23.5pyproject.toml
PyPIscipy>=1.15pyproject.toml
PyPIpandas>=1.3pyproject.toml
PyPInetworkx>=2.7pyproject.toml
PyPIrequests>=2.0pyproject.toml
PyPImatplotlib>=3.4pyproject.toml
PyPIxopen>=2.0pyproject.toml
All dependencies 33

Full resolved dependency set from the GitHub dependency graph: 7 direct and 26 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPImatplotlibdirect
PyPInetworkxdirect
PyPInumpydirect
PyPIpandasdirect
PyPIrequestsdirect
PyPIscipydirect
PyPIxopendirect
PyPIblackindirect
PyPIbuildindirect
PyPIipykernelindirect
PyPIipythonindirect
PyPIisort5.10.1indirect
PyPIjupyterindirect
PyPInbqaindirect
PyPInbsphinxindirect
PyPInbsphinx-linkindirect
PyPInumpydocindirect
PyPIpillowindirect
PyPIpydata-sphinx-themeindirect
PyPIpylintindirect
PyPIpytestindirect
PyPIpytest-benchmarkindirect
PyPIpytest-covindirect
PyPIpyyamlindirect
PyPIseabornindirect
PyPIsphinxindirect
PyPIsphinx-copybuttonindirect
PyPIsphinx-designindirect
PyPIsphinx-galleryindirect
PyPIsphinx-rtd-themeindirect
PyPItunaindirect
PyPItwineindirect
PyPIwheelindirect
Dependency advisories 0

Installing pypi:xgi@0.10.2 pulls in 22 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.

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 v0.34.0 — full methodology · metrics wiki.

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