Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-24 22:56 UTC

thyn-ai / algenta-sdk

Python and TypeScript SDKs for Algenta — self-hosted building blocks for AI applications. 6,000+ deterministic functions on custom Mojo kernels behind one API, SDK and MCP surface; no new language to learn. The engine is proprietary; the SDKs, API contract and examples are Apache-2.0. Siblings: thyn-ai/algenta-integrations, thyn-ai/mojo-kernels.

TypeScript · PythonApache-2.0★ 0 stars⑂ 0 forkssince Aug 2026View on GitHub ↗
KindLibraryNetwork serviceMCP serverCommand-line toolhow this is determined

thyn-ai/algenta-sdk holds a health index of 81 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (100/100) and lowest on Sustainability & Governance (40/100). It was last updated today. A single contributor accounts for most of its recent work.

81
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.

81
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 69 is calibrated to 81 on the published index scale (record calibration 2026-08-02).

Ownership

ThynOrganization
0 followers9 public repossince May 2026

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

Package ecosystems

Metrics by category

Vitality

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

75Good · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
3.5/36Commit cadence — 5/52 weeks with commits
18/18Commit volume — 199 commits in the last year
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Inputs used
commits_last_year199
human_commit_share0.37
days_since_last_push0
active_weeks_last_year5

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 22 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~0.4 days
10/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 10 signed artifacts.
Inputs used
releases_count22
latest_release_tagsdk-v1.0.29
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases0.4

Community & Adoption

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

49Weak · 17% of overall
How it's scored
0/60Stars — 0 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
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_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_templateyes
How it's scored
50.9/80Monthly downloads — 6,521 downloads/month across npm, pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesalgenta-mcp, algenta-sdk, algenta-sdk
dependents—
ecosystemsnpm, pypi
total_downloads—
monthly_downloads6,521
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 factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
3/10OpenSSF Scorecard: Contributors — project 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 resolution — 0% of issues closed
22.9/30PR acceptance — 90/118 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 2/22 approved changesets -- score normalized to 0
Inputs used
merged_prs90
open_issues9
closed_issues0
prs_merged_7d19
prs_decided_7d22
prs_merged_30d19
prs_decided_30d22
issue_closed_ratio0
closed_unmerged_prs28
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 backing — organization-owned
0/20Verified domain
0/25Owner reach — 0 followers of thyn-ai
7.9/25Track record — 9 public repos, account ~0 yr old
Inputs used
followers0
owner_typeOrganization
is_verifiedno
owner_loginthyn-ai
public_repos9
account_age_days121

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 3 package(s) on npm, pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 29 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesalgenta-mcp, algenta-sdk, algenta-sdk
ecosystemsnpm, pypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

100Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 12 workflow(s)
24/24Tests present
16/16Linter config — biome.json, packages/python-sdk/pyproject.toml ([tool.ruff]), ruff.toml
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 11 out of 11 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://github.com/thyn-ai/algenta-integrations
10/10Repository description
10/10Topics — 10 topics
10/10Wiki
Inputs used
topicsagent-governance, ai-agents, audit-trail, llm-tools, mcp, mojo, python, sdk, typescript, hacktoberfest
has_wikiyes
homepagehttps://github.com/thyn-ai/algenta-integrations
docs_sitehttps://github.com/thyn-ai/algenta-integrations
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

84Excellent · 16% of overall

Security posture

80Excellent
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 11 out of 11 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
0/7.5Code-Review — Found 2/22 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
5/5Fuzzing — project is fuzzed
2.5/2.5License — license file detected
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
5/5Packaging — packaging workflow detected
4.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
7.5/7.5Signed-Releases — 5 out of the last 5 releases have a total of 10 signed artifacts.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate8

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages333
unassessed_packages6
affected_by_severitynone
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 333 resolved dependencies against OSV. 6 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. 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.

74Good · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.algenta.ai/llms.txt)
40/40Legible commit history — 36 of 37 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.algenta.ai/llms.txt
legible_history_share0.973
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — biome.json, packages/python-sdk/pyproject.toml ([tool.ruff]), ruff.toml
11/11Static type checking — packages/ts-sdk/tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
9/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileyes
typed_languageyes
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configspackages/ts-sdk/tsconfig.json
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
45/45Type-checkable code — TypeScript (statically typed)
54.8/55Manageable file sizes — 1/357 source files over 60KB
Inputs used
primary_languageTypeScript
largest_source_bytes65,774
source_files_sampled357
oversized_source_files1
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — packages/ts-sdk/proto/runtime.proto
20/20MCP server
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalyes
api_schema_filespackages/ts-sdk/proto/runtime.proto
interfaces_expected_ofnetwork-service

Key facts

0GitHub stars
1contributors
199commits, last 12 months
0days since last push
22releases
1bus factor
9open issues
—package ecosystems

Data collection warnings

  • deps.dev does not index npm:algenta-sdk@1.0.29; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 8.0 / 10
8.0aggregate

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 · 2026-09-24 22:56 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests11 out of 11 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 2/22 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
10Fuzzingproject is fuzzed
10Licenselicense file detected
0Maintainedproject was created within the last 90 days. Please review its contents carefully
10Packagingpackaging workflow detected
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
10Signed-Releases5 out of the last 5 releases have a total of 10 signed artifacts.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 13
RegistryPackageVersion constraintManifest
PyPIalgenta-sdk>=1.0.0packages/mcp/pyproject.toml
PyPImcp==2.2.0packages/mcp/pyproject.toml
PyPIhttpx2>=2.5.0packages/mcp/pyproject.toml
PyPIfastapi==0.141.1packages/mcp/pyproject.toml
PyPIstarlette==1.6.0packages/mcp/pyproject.toml
PyPIuvicorn==0.53.0packages/mcp/pyproject.toml
PyPIhttpx>=0.28.0packages/mcp/pyproject.toml
PyPIpydantic>=2.12.0packages/mcp/pyproject.toml
PyPIstructlog>=24.0.0packages/mcp/pyproject.toml
PyPIhttpx>=0.28.0packages/python-sdk/pyproject.toml
PyPIpydantic>=2.7.0packages/python-sdk/pyproject.toml
npm@grpc/grpc-js^1.14.4packages/ts-sdk/package.json
npm@grpc/proto-loader^0.8.1packages/ts-sdk/package.json
All dependencies 339

Full resolved dependency set from the GitHub dependency graph: 16 direct and 323 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
npm@grpc/grpc-js1.14.4direct
npm@grpc/proto-loader0.8.1direct
PyPIalgenta-sdk—direct
PyPIalgenta-sdk1.0.14direct
PyPIfastapi0.141.1direct
PyPIhttpx—direct
PyPIhttpx0.28.1direct
PyPIhttpx2—direct
PyPIhttpx22.13.0direct
PyPImcp2.2.0direct
PyPIpydantic—direct
PyPIpydantic2.13.5direct
PyPIstarlette1.6.0direct
PyPIstructlog—direct
PyPIstructlog26.1.0direct
PyPIuvicorn0.53.0direct
npm@babel/helper-string-parser7.29.7indirect
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npm@biomejs/biome2.5.14indirect
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npm@biomejs/cli-linux-x642.5.14indirect
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npmserve-static2.2.1indirect
npmsetprototypeof1.2.0indirect
npmshebang-command2.0.0indirect
npmshebang-regex3.0.0indirect
npmside-channel1.1.1indirect
npmside-channel-list1.0.1indirect
npmside-channel-map1.0.1indirect
npmside-channel-weakmap1.0.2indirect
npmsiginfo2.0.0indirect
npmsource-map-js1.2.1indirect
npmstackback0.0.2indirect
npmstatuses2.0.2indirect
npmstd-env4.2.0indirect
npmstring-width4.2.3indirect
npmstrip-ansi6.0.1indirect
npmsupports-color7.2.0indirect
npmtinybench2.9.0indirect
npmtinyexec1.3.1indirect
npmtinyglobby0.2.17indirect
npmtinyrainbow3.1.1indirect
npmtoidentifier1.0.1indirect
npmtsx4.23.13indirect
npmtype-is2.1.0indirect
npmtypescript5.9.3indirect
npmundici-types7.16.0indirect
npmunpipe1.0.0indirect
npmvary1.1.2indirect
npmvite8.3.0indirect
npmvitest4.1.11indirect
npmwhich2.0.2indirect
npmwhy-is-node-running2.3.0indirect
npmwrap-ansi7.0.0indirect
npmwrappy1.0.2indirect
npmy18n5.0.8indirect
npmyargs17.7.2indirect
npmyargs-parser21.1.1indirect
npmzod4.5.4indirect
npmzod-to-json-schema3.25.2indirect
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.15.1indirect
PyPIattrs26.1.0indirect
PyPIblack26.5.1indirect
PyPIbuild1.6.1indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer3.5.1indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.16.1indirect
PyPIcryptography50.0.1indirect
PyPIdocutils0.23indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpcore22.13.0indirect
PyPIhypothesis6.168.0indirect
PyPIid1.6.1indirect
PyPIidna3.20indirect
PyPIiniconfig2.3.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.6.0indirect
PyPIjeepney0.9.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImcp-types2.2.0indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.1.0indirect
PyPImypy-extensions1.1.0indirect
PyPInh30.3.7indirect
PyPIopentelemetry-api1.44.0indirect
PyPIpackaging26.3indirect
PyPIpathspec1.1.1indirect
PyPIpip26.2.1indirect
PyPIplatformdirs4.11.11indirect
PyPIpluggy1.6.0indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.5indirect
PyPIpydantic-core2.49.0indirect
PyPIpygments2.21.0indirect
PyPIpyjwt2.14.0indirect
PyPIpyproject-hooks1.3.3indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-multipart0.0.32indirect
PyPIpytokens0.4.1indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIreadme-renderer46.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrespx0.23.1indirect
PyPIrfc39862.0.0indirect
PyPIrich15.0.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruff0.16.8indirect
PyPIsecretstorage3.5.0indirect
PyPIsetuptools—indirect
PyPIsetuptools84.0.0indirect
PyPIsortedcontainers2.4.0indirect
PyPIsse-starlette3.4.11indirect
PyPItruststore0.10.4indirect
PyPItwine7.0.0indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPIurllib32.8.0indirect
PyPIwheel0.48.0indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 333 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 6 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

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

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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, npm.