Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-17 03:10 UTC

ebiquity / crystalia-collector

HTMLCustom license★ 0 stars⑂ 0 forkssince Oct 2024View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

ebiquity/crystalia-collector holds a health index of 56 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (86/100) and lowest on Community & Adoption (34/100). It was last updated 8 days ago. A single contributor accounts for most of its recent work.

56
overall / 100
Moderate

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.

56
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 54 is calibrated to 56 on the published index scale (record calibration 2026-08-02).

Ownership

UMBC Ebiquity LabOrganization
11 followers30 public repossince Oct 2012

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIcrystalia-collector0.1.1317110 days agodata-engineeringknowledge-graphprovenance

Metrics by category

Vitality

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

62Moderate · 21% of overall
How it's scored
28.8/36Push recencylast push 8 days ago
3.5/36Commit cadence5/52 weeks with commits
15.1/18Commit volume47 commits in the last year
9/10OpenSSF Scorecard: Maintained11 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 9
Inputs used
commits_last_year47
human_commit_share
days_since_last_push8
active_weeks_last_year5
How it's scored
16.2/27Ships releases1 version tags (no GitHub releases)
36/36Release recencylatest release 10 days ago
12.6/27Release cadencecadence unknown (single release)
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count1
latest_release_tagv0.1.1
releases_from_tagsyes
days_since_latest_release10
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?

34At Risk · 17% of overall
How it's scored
0/60Stars0 stars
0/25Forks0 forks
4.3/15Watchers7 watchers
Inputs used
forks0
stars0
watchers7
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
18/18CONTRIBUTING guide
0/13.5Code 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_conductno
readme_badge_services
has_pull_request_templateno
How it's scored
33.4/80Monthly downloads317 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagescrystalia-collector
dependents
ecosystemspypi
total_downloads
monthly_downloads317
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?

40Weak · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0/22.5Commit distributiontop contributor authored 100% of commits
1.4/13.5Contributor breadth1 contributors
3/10OpenSSF Scorecard: Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1
How it's scored
0/42Issue resolutionno issues or no data
0/30PR acceptance0/1 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs0
open_issues0
closed_issues0
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio
closed_unmerged_prs1
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
7.8/25Owner reach11 followers of Ebiquity
22.9/25Track record30 public repos, account ~13 yr old
Inputs used
followers11
owner_typeOrganization
is_verified
owner_loginEbiquity
public_repos30
account_age_days5,012
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 10 days ago
4/20Version history1 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagescrystalia-collector
ecosystemspypi
any_deprecatedno
min_days_since_publish10

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows2 workflow(s)
24/24Tests present
16/16Linter configruff.toml
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
0/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepage
docs_site
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

39Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
0/2.5CI-Testsno data
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 0/30 approved changesets -- score normalized to 0
0.8/2.5Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.2/2.5Licenselicense file detected
6.8/7.5Maintained11 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 9
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTno SAST tool detected
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities27 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate3.9
Excluded from scoring (no data or not applicable): CI-Tests, Packaging, Signed-Releases. 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.

75Good · 4% of overall
How it's scored
45/45Agent instructionsCLAUDE.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes3,447
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrapMakefile, data_model/Makefile
22/22Automated tests
11/11Lint / format configruff.toml
0/11Static type checking
10/10Reproducible environmentdevcontainer, Dockerfile, lockfile
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
lockfilespoetry.lock, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, data_model/Makefile
has_devcontaineryes
has_linter_configyes
typecheck_configs
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
0/45Type-checkable codeHTML without a type-check config
55/55Manageable file sizes0/58 source files over 60KB
Inputs used
primary_languageHTML
largest_source_bytes35,641
source_files_sampled58
oversized_source_files0
How it's scored
40/40API schema (OpenAPI/GraphQL/proto)data_model/project/graphql/crystalia.graphql, data_model/project/protobuf/crystalia.proto
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_filesdata_model/project/graphql/crystalia.graphql, data_model/project/protobuf/crystalia.proto
interfaces_expected_of
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

0GitHub stars
1contributors
47commits, last 12 months
8days since last push
1releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Could not fetch pypi package 'linkml_crystalia' from its registry
  • Could not fetch pypi package 'crystalia-collector-batch-infra' from its registry

More detail

OpenSSF Scorecard 3.9 / 10
3.9aggregate

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 03:10 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
9Maintained11 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 9
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities27 existing vulnerabilities detected
Direct dependencies 18
RegistryPackageVersion constraintManifest
PyPIlinkml-runtime^1.1.24data_model/pyproject.toml
PyPIpulumi^3.107.0infrastructure/pyproject.toml
PyPIpydantic^2.6.3infrastructure/pyproject.toml
PyPIboto3^1.34.61infrastructure/pyproject.toml
PyPIpulumi-aws^6.29.1infrastructure/pyproject.toml
PyPIpulumi-aws-native^0.101.0infrastructure/pyproject.toml
PyPIpulumi-terraform^5.13.4infrastructure/pyproject.toml
PyPItyper>=0.4.0pyproject.toml
PyPItoml>=0.10.2pyproject.toml
PyPIboto3>=1.18.0pyproject.toml
PyPIlinkml-runtime>=1.11pyproject.toml
PyPIpydantic>=2pyproject.toml
PyPIrdflib>=6.0pyproject.toml
PyPIhbreader>=0.9pyproject.toml
PyPIsentry-sdk>=2.0pyproject.toml
PyPIstructlog>=24.0pyproject.toml
PyPIpydantic-settings>=2.0pyproject.toml
PyPIrich>=13.0pyproject.toml
All dependencies 200

Full resolved dependency set from the GitHub dependency graph: 19 direct and 181 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIboto31.43.42direct
PyPIhbreader0.9.1direct
PyPIlinkml-runtime1.11.1direct
PyPIlinkml-runtime1.8.3direct
PyPIpulumi3.137.0direct
PyPIpulumi-aws6.56.1direct
PyPIpulumi-aws-native0.101.0direct
PyPIpulumi-terraform5.13.4direct
PyPIpydantic2.13.4direct
PyPIpydantic2.9.2direct
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PyPIrdflib7.1.0direct
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PyPIrich15.0.0direct
PyPIsentry-sdk2.64.0direct
PyPIstructlog26.1.0direct
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PyPItyper0.26.8direct
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PyPIattrs24.2.0indirect
PyPIattrs26.1.0indirect
PyPIbackports-zstd1.6.0indirect
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PyPIbotocore1.35.46indirect
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PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
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PyPIcrystalia-collector0.1.1indirect
PyPIcuries0.14.1indirect
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PyPIghp-import2.1.0indirect
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PyPIgoogle-auth-oauthlib1.2.1indirect
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PyPImypy2.2.0indirect
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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.