Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-15 20:47 UTC

TrilliantHealth / trilliant-data-science

Open source of Trilliant Health Data Science libraries and utilities

Jupyter Notebook · PythonMIT★ 6 stars⑂ 1 forksince Oct 2023View on GitHub ↗
KindCommand-line toolLibraryPluginhow this is determined

TrilliantHealth/trilliant-data-science holds a health index of 51 out of 100, placing it in the Moderate band. It scores highest on AI Readiness (63/100) and lowest on Community & Adoption (41/100). It was last updated 4 days ago. A single contributor accounts for most of its recent work.

51
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.

51
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 51 is calibrated to 51 on the published index scale (record calibration 2026-08-02).

Ownership

Trilliant HealthOrganization
16 followers6 public repossince Jan 2021

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIthds.adls4.5.202609102309445,2765064 days ago
PyPIthds.core1.57.202609102309405,9045044 days ago
PyPIthds.gent1.7.202609102309531,244564 days ago
PyPIthds.mops3.32.202609102310054,2044764 days ago
PyPIthds.humenc1.1.202609102309304,2774754 days ago
PyPIthds.atacama1.2.202609102309372,4455064 days ago
PyPIthds.mllegos1.3.202609102309591,327684 days ago
PyPIthds.termtool1.0.202609102309341,8021944 days ago

Metrics by category

Vitality

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

57Moderate · 21% of overall

Development activity

95Exceptional
How it's scored
36/36Push recency — last push 4 days ago
31.2/36Commit cadence — 45/52 weeks with commits
18/18Commit volume — 171 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year171
human_commit_share1
days_since_last_push4
active_weeks_last_year45

Release discipline

1Critical
How it's scored
0/27Ships releases — no releases published
0/36Release recency — no releases
0/27Release cadence — no releases
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count0
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?

41Weak · 17% of overall

Popularity & adoption

13Critical
How it's scored
11.3/60Stars — 6 stars
0/25Forks — 1 forks
1.7/15Watchers — 3 watchers
Inputs used
forks1
stars6
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

74Good
How it's scored
59/80Monthly downloads — 26,479 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesthds.adls, thds.core, thds.gent, thds.mops, thds.humenc, thds.atacama, thds.mllegos, thds.termtool
dependents—
ecosystemspypi
total_downloads—
monthly_downloads26,479
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?

48Weak · 23% of overall

Maintainer resilience (bus factor)

41Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
8.2/22.5Commit distribution — top contributor authored 64% of commits
13.5/13.5Contributor breadth — 19 contributors
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled19
top_contributor_share0.635

Issue & PR responsiveness

6Critical
How it's scored
0/42Issue resolution — no issues or no data
2.7/30PR acceptance — 1/11 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs1
open_issues0
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio—
closed_unmerged_prs10
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

56Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
8.8/25Owner reach — 16 followers of TrilliantHealth
17.4/25Track record — 6 public repos, account ~5 yr old
Inputs used
followers16
owner_typeOrganization
is_verifiedno
owner_loginTrilliantHealth
public_repos6
account_age_days2,059

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 8 package(s) on pypi
35/35Publish recency — latest publish 4 days ago
20/20Version history — 506 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesthds.adls, thds.core, thds.gent, thds.mops, thds.humenc, thds.atacama, thds.mllegos, thds.termtool
ecosystemspypi
any_deprecatedno
min_days_since_publish4

Engineering Quality

Are baseline engineering and documentation practices in place?

57Moderate · 19% of overall

Engineering practices

62Moderate
How it's scored
0/24CI workflows
24/24Tests present
16/16Linter config — .flake8
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_cino
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

48Weak · 16% of overall

Security posture

35Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
0/2.5CI-Tests — no data
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 8 contributing companies or organizations
0/10Dangerous-Workflow — no data
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — no data
0/5SAST — no SAST tool detected
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — no data
0/7.5Vulnerabilities — 151 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated12
scorecard_versionv5.5.0
checks_inconclusive6
scorecard_aggregate3.5
Excluded from scoring (no data or not applicable): CI-Tests, Dangerous-Workflow, Packaging, Pinned-Dependencies, Signed-Releases, Token-Permissions. 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_packages30
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:thds.adls@4.5.20260910230944 runtime dependency closure — what installing the published package pulls in — 30 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.

63Moderate · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 100 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

60Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .flake8
11/11Static type checking — libs/adls/src/thds/adls/py.typed, libs/atacama/src/thds/atacama/py.typed, libs/attrs-utils/src/thds/attrs_utils/py.typed, libs/core/src/thds/core/py.typed, libs/gent/src/thds/gent/py.typed, libs/humenc/src/thds/humenc/py.typed, libs/mllegos/src/thds/mllegos/py.typed, libs/mops/src/thds/mops/py.typed, libs/tabularasa/src/thds/tabularasa/py.typed, libs/termtool/src/thds/termtool/py.typed
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 — no data
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configslibs/adls/src/thds/adls/py.typed, libs/atacama/src/thds/atacama/py.typed, libs/attrs-utils/src/thds/attrs_utils/py.typed, libs/core/src/thds/core/py.typed, libs/gent/src/thds/gent/py.typed, libs/humenc/src/thds/humenc/py.typed, libs/mllegos/src/thds/mllegos/py.typed, libs/mops/src/thds/mops/py.typed, libs/tabularasa/src/thds/tabularasa/py.typed, libs/termtool/src/thds/termtool/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Jupyter Notebook with type-check config (libs/adls/src/thds/adls/py.typed, libs/atacama/src/thds/atacama/py.typed, libs/attrs-utils/src/thds/attrs_utils/py.typed, libs/core/src/thds/core/py.typed, libs/gent/src/thds/gent/py.typed, libs/humenc/src/thds/humenc/py.typed, libs/mllegos/src/thds/mllegos/py.typed, libs/mops/src/thds/mops/py.typed, libs/tabularasa/src/thds/tabularasa/py.typed, libs/termtool/src/thds/termtool/py.typed)
55/55Manageable file sizes — 0/694 source files over 60KB
Inputs used
primary_languageJupyter Notebook
largest_source_bytes49,620
source_files_sampled694
oversized_source_files0

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

6GitHub stars
19contributors
171commits, last 12 months
4days since last push
0releases
1bus factor
0open issues
—package ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'thds.gent' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download statistics for 'thds.atacama' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download statistics for 'thds.mllegos' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download statistics for 'thds.termtool' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for thds.gent carried forward from the previous scan (stats endpoint unavailable this scan)
  • pypi download figures for thds.atacama carried forward from the previous scan (stats endpoint unavailable this scan)
  • pypi download figures for thds.mllegos carried forward from the previous scan (stats endpoint unavailable this scan)
  • pypi download figures for thds.termtool carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

OpenSSF Scorecard 3.5 / 10
3.5aggregate

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 · 2026-09-15 20:47 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all 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
10Contributorsproject has 8 contributing companies or organizations
n/aDangerous-Workflowno workflows found
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
n/aPinned-Dependenciesno dependencies found
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
n/aToken-PermissionsNo tokens found
0Vulnerabilities151 existing vulnerabilities detected
Direct dependencies 54
RegistryPackageVersion constraintManifest
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PyPIansicolors—libs/termtool/pyproject.toml
PyPIthds-core—libs/termtool/pyproject.toml
All dependencies 288

Full resolved dependency set from the GitHub dependency graph: 48 direct and 240 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIjupyterlab-server2.27.3indirect
PyPIjupyterlab-widgets3.0.13indirect
PyPIkiwisolver1.4.9indirect
PyPIkubernetes32.0.1indirect
PyPIlibrt0.7.4indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.2indirect
PyPImatplotlib3.10.6indirect
PyPImatplotlib-inline0.1.7indirect
PyPImdurl0.1.2indirect
PyPImistune3.1.2indirect
PyPImsal1.31.1indirect
PyPImsal1.34.0indirect
PyPImsal-extensions1.2.0indirect
PyPImultidict6.1.0indirect
PyPImultimethod1.10indirect
PyPImultipledispatch1.0.0indirect
PyPImypy1.11.2indirect
PyPImypy1.14.1indirect
PyPImypy1.15.0indirect
PyPImypy1.16.0indirect
PyPImypy1.16.1indirect
PyPImypy1.19.1indirect
PyPImypy-extensions1.0.0indirect
PyPImypy-extensions1.1.0indirect
PyPInbclient0.10.2indirect
PyPInbconvert7.16.6indirect
PyPInbformat5.10.4indirect
PyPInest-asyncio1.6.0indirect
PyPInotebook7.3.2indirect
PyPInotebook-shim0.2.4indirect
PyPIoauthlib3.2.2indirect
PyPIoverrides7.7.0indirect
PyPIpandas-stubs2.2.3.241126indirect
PyPIpandocfilters1.5.1indirect
PyPIparso0.8.4indirect
PyPIpathspec0.12.1indirect
PyPIpexpect4.9.0indirect
PyPIpillow11.3.0indirect
PyPIpkginfo1.12.1.2indirect
PyPIplatformdirs4.3.6indirect
PyPIplatformdirs4.3.7indirect
PyPIpluggy1.5.0indirect
PyPIpluggy1.6.0indirect
PyPIportalocker2.10.1indirect
PyPIprettytable3.16.0indirect
PyPIprometheus-client0.21.1indirect
PyPIprompt-toolkit3.0.50indirect
PyPIpropcache0.2.1indirect
PyPIpsutil7.0.0indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpyaml26.7.0indirect
PyPIpyasn10.6.1indirect
PyPIpyasn1-modules0.4.1indirect
PyPIpycparser2.22indirect
PyPIpydantic-core2.41.5indirect
PyPIpyecharts2.0.8indirect
PyPIpygments2.19.1indirect
PyPIpygments2.19.2indirect
PyPIpygraphviz1.14indirect
PyPIpyjwt2.10.1indirect
PyPIpyparsing3.2.5indirect
PyPIpytest7.4.4indirect
PyPIpytest8.4.0indirect
PyPIpytest8.4.2indirect
PyPIpytest-asyncio0.23.8indirect
PyPIpytest-cov4.1.0indirect
PyPIpytest-mock3.14.0indirect
PyPIpytest-mock3.14.1indirect
PyPIpytest-mock3.15.1indirect
PyPIpytest-rerunfailures15.1indirect
PyPIpytest-xdist3.6.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-json-logger3.2.1indirect
PyPIpytz2025.1indirect
PyPIpywin32308indirect
PyPIpywin32310indirect
PyPIpywinpty2.0.15indirect
PyPIpyzmq26.2.1indirect
PyPIpyzmq26.4.0indirect
PyPIreferencing0.36.2indirect
PyPIrequests2.32.3indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc3986-validator0.1.1indirect
PyPIroman-numerals-py3.0.0indirect
PyPIrpds-py0.22.3indirect
PyPIrsa4.9indirect
PyPIruamel-yaml0.18.10indirect
PyPIruamel-yaml-clib0.2.12indirect
PyPIscikit-learn1.6.1indirect
PyPIscikit-optimize0.10.2indirect
PyPIscipy1.15.2indirect
PyPIsend2trash1.8.3indirect
PyPIsimplejson3.20.1indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsnowballstemmer2.2.0indirect
PyPIsoupsieve2.6indirect
PyPIsphinx8.1.3indirect
PyPIsphinx8.2.0indirect
PyPIsphinx-autodoc-typehints3.0.1indirect
PyPIsphinx-autodoc-typehints3.1.0indirect
PyPIsphinx-rtd-theme3.0.2indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstack-data0.6.3indirect
PyPItabulate0.9.0indirect
PyPIterminado0.18.1indirect
PyPIthds-atacama1.2indirect
PyPIthds-attrs-utils1.9indirect
PyPIthds-gent1.7indirect
PyPIthds-mllegos1.3indirect
PyPIthds-mops3.32indirect
PyPIthds-tabularasa0.14.18indirect
PyPIthreadpoolctl3.5.0indirect
PyPItinycss21.4.0indirect
PyPItoml0.10.2indirect
PyPItornado6.4.2indirect
PyPItraitlets5.14.3indirect
PyPItypeguard4.4.2indirect
PyPItypes-cachetools5.5.0.20240820indirect
PyPItypes-python-dateutil2.9.0.20241206indirect
PyPItypes-pytz2025.1.0.20250204indirect
PyPItypes-pyyaml6.0.12.20241230indirect
PyPItypes-requests2.32.0.20241016indirect
PyPItypes-setuptools75.8.0.20250210indirect
PyPItypes-tabulate0.9.0.20241207indirect
PyPItypes-urllib31.26.25.14indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.1indirect
PyPItzdata2025.2indirect
PyPIujson5.10.0indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.3.0indirect
PyPIwcwidth0.2.13indirect
PyPIwebcolors24.11.1indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.8.0indirect
PyPIwidgetsnbextension4.0.13indirect
PyPIwrapt1.17.2indirect
PyPIxonsh0.19.9indirect
PyPIxonsh0.22.1indirect
PyPIyarl1.18.3indirect
Dependency advisories 0

Installing pypi:thds.adls@4.5.20260910230944 pulls in 30 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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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.