Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-18 07:46 UTC

mxcube / mxcubecore

Backend used by MXCuBE

PythonLGPL-3.0★ 19 stars⑂ 58 forkssince May 2013View on GitHub ↗
KindLibraryhow this is determined

mxcube/mxcubecore holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on AI Readiness (40/100). It was last updated today. 2 contributors account 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

MXCuBEOrganization
10 followers30 public repossince May 2013

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImxcubecore2.123.04,3424720 days agomxcubemxcube3mxcubecore

Metrics by category

Vitality

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

76Good · 21% of overall

Development activity

98Exceptional
How it's scored
36/36Push recency — last push 0 days ago
33.9/36Commit cadence — 49/52 weeks with commits
18/18Commit volume — 717 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year717
human_commit_share1
days_since_last_push0
active_weeks_last_year49

Release discipline

44Weak
How it's scored
27/27Ships releases — 1 releases published
0/36Release recency — latest release 1,534 days ago
12.6/27Release cadence — cadence unknown (single release)
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count1
latest_release_tag1.0.0
releases_from_tagsno
days_since_latest_release1,534
mean_days_between_releases—
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?

57Moderate · 17% of overall

Popularity & adoption

42Weak
How it's scored
20.4/60Stars — 19 stars
14.6/25Forks — 58 forks
7.4/15Watchers — 22 watchers
Inputs used
forks58
stars19
watchers22
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (LGPL-3.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

61Moderate
How it's scored
48.5/80Monthly downloads — 4,342 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmxcubecore
dependents—
ecosystemspypi
total_downloads—
monthly_downloads4,342
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?

75Good · 23% of overall

Maintainer resilience (bus factor)

63Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
14.4/22.5Commit distribution — top contributor authored 36% of commits
13.5/13.5Contributor breadth — 50 contributors
10/10OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled50
top_contributor_share0.361

Issue & PR responsiveness

83Excellent
How it's scored
38.9/42Issue resolution — 93% of issues closed
26/30PR acceptance — 1,152/1,330 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
7.5/15OpenSSF Scorecard: Code-Review — Found 8/16 approved changesets -- score normalized to 5
Inputs used
merged_prs1,152
open_issues23
closed_issues289
prs_merged_7d7
prs_decided_7d8
prs_merged_30d17
prs_decided_30d22
issue_closed_ratio0.926
closed_unmerged_prs178
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.

Ownership & stewardship

60Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
7.5/25Owner reach — 10 followers of mxcube
22.9/25Track record — 30 public repos, account ~13 yr old
Inputs used
followers10
owner_typeOrganization
is_verifiedno
owner_loginmxcube
public_repos30
account_age_days4,886

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 472 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmxcubecore
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — ruff.toml
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 8 out of 8 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — http://www.mxcube.org/mxcubecore/
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepagehttp://www.mxcube.org/mxcubecore/
docs_sitehttp://www.mxcube.org/mxcubecore/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

68Good · 16% of overall

Security posture

68Good
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 — 8 out of 8 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
3.8/7.5Code-Review — Found 8/16 approved changesets -- score normalized to 5
2.5/2.5Contributors — project has 13 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 4 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
4.5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
4.5/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 34 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate6.8
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

66Good
How it's scored
9.5/35Direct dependencies free of known advisories — 1 affected: pillow 12.2.0 (critical 9.1)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
40/40No advisories left outstanding — no advisory has been public longer than 90 days
Inputs used
sourceosv
advisories65
affected_packages8
assessed_packages131
unassessed_packages0
affected_by_severitycritical 1, high 6, moderate 1
direct_affected_packages1
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 131 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.

40Weak · 4% of overall

Agent context & guidance

4Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
4.3/40Legible commit history — 8 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.08
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

61Moderate
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — ruff.toml
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54/55Manageable file sizes — 10/524 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes730,613
source_files_sampled524
oversized_source_files10

Key facts

19GitHub stars
50contributors
717commits, last 12 months
0days since last push
1releases
2bus factor
23open 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:mxcubecore@2.123.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 58 ⇿
0Stars
58Forks
1Releases

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.

01020304050605632013-112020-032026-07
Major 1Minor 0Patch 0

Each point covers 12 days.

OpenSSF Scorecard 6.8 / 10
6.8aggregate

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 · 2026-09-18 07:46 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-Tests8 out of 8 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 8/16 approved changesets -- score normalized to 5
10Contributorsproject has 13 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 4 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
10SASTSAST tool is run on all commits
9Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
6Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities34 existing vulnerabilities detected
Direct dependencies 26
RegistryPackageVersion constraintManifest
PyPItyping-extensions^4.3.0pyproject.toml
PyPItomli^2.0.1pyproject.toml
PyPIgevent^23.9.1pyproject.toml
PyPIgreenlet^3.0.3pyproject.toml
PyPIjsonpickle^2.2.0pyproject.toml
PyPIjsonschema^4.17.1pyproject.toml
PyPIlxml^6.1.0pyproject.toml
PyPImatplotlib^3.6.2pyproject.toml
PyPInumpy^1.23.5pyproject.toml
PyPIPillow^12.2.0pyproject.toml
PyPIpydantic>=2.8.2,<2.9.0pyproject.toml
PyPIPyDispatcher^2.0.6pyproject.toml
PyPIruamel.yaml^0.17.21pyproject.toml
PyPIscipy^1.9.3pyproject.toml
PyPIsuds-py31.4.5.0pyproject.toml
PyPIpsutil^5.9.4pyproject.toml
PyPIpy4j0.10.9.9pyproject.toml
PyPIf90nml1.3.1pyproject.toml
PyPIlucid3^3.0.0pyproject.toml
PyPIPyTango^9.3.6pyproject.toml
PyPIpython-ldap^3.4.5pyproject.toml
PyPIrequests^2.33.0pyproject.toml
PyPIcolorama^0.4.6pyproject.toml
PyPIpyicat-plus==3.0.1pyproject.toml
PyPImxcube-video-streamer^1.8.5pyproject.toml
PyPIdefusedxml0.7.1pyproject.toml
All dependencies 131

Full resolved dependency set from the GitHub dependency graph: 26 direct and 105 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcolorama0.4.6direct
PyPIdefusedxml0.7.1direct
PyPIf90nml1.3.1direct
PyPIgevent23.9.1direct
PyPIgreenlet3.0.3direct
PyPIjsonpickle2.2.0direct
PyPIjsonschema4.17.3direct
PyPIlucid33.0.0direct
PyPIlxml6.1.0direct
PyPImatplotlib3.7.1direct
PyPImxcube-video-streamer1.8.5direct
PyPInumpy1.26.4direct
PyPIpillow12.2.0direct
PyPIpsutil5.9.5direct
PyPIpy4j0.10.9.9direct
PyPIpydantic2.8.2direct
PyPIpydispatcher2.0.7direct
PyPIpyicat-plus3.0.1direct
PyPIpytango9.4.1direct
PyPIpython-ldap3.4.5direct
PyPIrequests2.34.2direct
PyPIruamel-yaml0.17.28direct
PyPIscipy1.10.1direct
PyPIsuds-py31.4.5.0direct
PyPItomli2.0.1direct
PyPItyping-extensions4.14.1direct
PyPIalabaster0.7.13indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.9.0indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs23.1.0indirect
PyPIbabel2.12.1indirect
PyPIbeautifulsoup44.12.2indirect
PyPIcertifi2024.7.4indirect
PyPIcffi1.15.1indirect
PyPIcfgv3.3.1indirect
PyPIcharset-normalizer3.1.0indirect
PyPIclick8.1.8indirect
PyPIcontourpy1.0.7indirect
PyPIcoverage7.6.12indirect
PyPIcycler0.11.0indirect
PyPIdistlib0.3.9indirect
PyPIdnspython2.8.0indirect
PyPIdocutils0.20.1indirect
PyPIemail-validator2.3.0indirect
PyPIesrf-ontologies2.1.0indirect
PyPIesrf-pathlib1.1.0indirect
PyPIexceptiongroup1.1.1indirect
PyPIfastapi0.124.0indirect
PyPIfastapi-cli0.0.16indirect
PyPIfilelock3.20.3indirect
PyPIflexcache0.3indirect
PyPIflexparser0.4indirect
PyPIfonttools4.61.0indirect
PyPIfuro2023.9.10indirect
PyPIh110.16.0indirect
PyPIh5py3.11.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttptools0.7.1indirect
PyPIhttpx0.28.1indirect
PyPIicat-esrf-definitions3.6.0indirect
PyPIicat-plus-client4.96.1indirect
PyPIidentify2.5.24indirect
PyPIidna3.15indirect
PyPIimageio2.29.0indirect
PyPIimagesize1.4.1indirect
PyPIiniconfig2.0.0indirect
PyPIjinja23.1.6indirect
PyPIkiwisolver1.4.4indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkupsafe2.1.3indirect
PyPImdit-py-plugins0.4.0indirect
PyPImdurl0.1.2indirect
PyPImyst-parser2.0.0indirect
PyPInodeenv1.8.0indirect
PyPIopencv-python4.10.0.84indirect
PyPIpackaging23.1indirect
PyPIpint0.24.4indirect
PyPIplatformdirs4.3.6indirect
PyPIpluggy1.5.0indirect
PyPIpre-commit4.1.0indirect
PyPIpyasn10.6.3indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser2.21indirect
PyPIpydantic-core2.20.1indirect
PyPIpydantic-settings2.8.1indirect
PyPIpygments2.20.0indirect
PyPIpyparsing3.0.9indirect
PyPIpyrsistent0.19.3indirect
PyPIpytest9.0.3indirect
PyPIpytest-cov6.0.0indirect
PyPIpytest-mock3.14.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.26indirect
PyPIpyyaml6.0.3indirect
PyPIquerypool1.0.0indirect
PyPIredis4.6.0indirect
PyPIrich14.2.0indirect
PyPIrich-toolkit0.17.0indirect
PyPIruamel-yaml-clib0.2.7indirect
PyPIruff0.9.10indirect
PyPIsetuptools80.9.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.16.0indirect
PyPIsniffio1.3.1indirect
PyPIsnowballstemmer2.2.0indirect
PyPIsoupsieve2.5indirect
PyPIsphinx7.1.2indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-last-updated-by-git0.3.7indirect
PyPIsphinxcontrib-applehelp1.0.4indirect
PyPIsphinxcontrib-devhelp1.0.2indirect
PyPIsphinxcontrib-htmlhelp2.0.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-mermaid0.9.2indirect
PyPIsphinxcontrib-qthelp1.0.3indirect
PyPIsphinxcontrib-serializinghtml1.1.5indirect
PyPIstarlette0.50.0indirect
PyPIstompest2.3.0indirect
PyPItyper0.20.0indirect
PyPIurllib32.6.3indirect
PyPIuvicorn0.34.0indirect
PyPIuvloop0.22.1indirect
PyPIvirtualenv20.36.1indirect
PyPIwatchfiles1.1.1indirect
PyPIwebsockets15.0.1indirect
PyPIxsdata26.2indirect
PyPIzope-event4.6indirect
PyPIzope-interface6.0indirect
Dependency advisories 8

This repository publishes no package the index resolves, so its own dependency graph was assessed — 131 packages, which also include development and test pins that never ship: 8 carry known advisories, of which 1 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
pillow12.2.0directcritical2612.3.0
click8.1.8indirecthigh18.3.3
pyasn10.6.3indirecthigh60.6.4
python-multipart0.0.26indirecthigh100.0.31
soupsieve2.5indirecthigh62.9.0
starlette0.50.0indirecthigh101.3.1
urllib32.6.3indirecthigh42.7.0
setuptools80.9.0indirectmoderate283.0.0

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.

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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.