Public record
Software health reportschema 0.12.0 · metrics 2.10.0 · 2026-07-17 20:14 UTC

fastaifoundry / fastaiagent-sdk

Python · TypeScriptApache-2.0★ 0 stars⑂ 1 forksince Apr 2026View on GitHub ↗
KindLibraryWeb interfaceCommand-line toolhow this is determined

fastaifoundry/fastaiagent-sdk holds a health index of 63 out of 100, placing it in the Moderate band. It scores highest on Vitality (85/100) and lowest on Security (45/100). It was last updated today. A single contributor accounts for most of its recent work.

63
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.

63
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 59 is calibrated to 63 on the published index scale (record calibration 2026-08-02).

Ownership

fastaifoundryPersonal account
0 followers2 public repossince Feb 2026

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIfastaiagent1.42.02,525850 days agoagent-debuggingagent-observabilityagent-replayai-agentsllm-evaluationopentelemetry

Metrics by category

Vitality

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

85Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
11.1/36Commit cadence16/52 weeks with commits
18/18Commit volume255 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year255
human_commit_share
days_since_last_push0
active_weeks_last_year16

Release discipline

100Exceptional
How it's scored
27/27Ships releases14 releases published
36/36Release recencylatest release 5 days ago
27/27Release cadencea release every ~9.5 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count14
latest_release_tagv1.39.0
releases_from_tagsno
days_since_latest_release5
mean_days_between_releases9.5
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?

47Weak · 17% of overall
How it's scored
0/60Stars0 stars
0/25Forks1 forks
0/15Watchers0 watchers
Inputs used
forks1
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized 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_badges
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services
has_pull_request_templateyes
How it's scored
45.4/80Monthly downloads2,525 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesfastaiagent
dependents
ecosystemspypi
total_downloads
monthly_downloads2,525
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?

47Weak · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
8.6/22.5Commit distributiontop contributor authored 62% of commits
4.1/13.5Contributor breadth3 contributors
0/10OpenSSF Scorecard: Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.619
How it's scored
0/42Issue resolutionno issues or no data
29.2/30PR acceptance116/119 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_prs116
open_issues0
closed_issues0
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio
closed_unmerged_prs3
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
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
0/25Owner reach0 followers of fastaifoundry
4.3/25Track record2 public repos, account ~0 yr old
Inputs used
followers0
owner_typeUser
is_verified
owner_loginfastaifoundry
public_repos2
account_age_days143
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 0 days ago
20/20Version history85 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesfastaiagent
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

67Good · 19% of overall
How it's scored
24/24CI workflows6 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno
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?

45Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
3.8/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests30 out of 30 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
0/7.5Code-ReviewFound 0/30 approved changesets -- score normalized to 0
0/2.5Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
0/5SASTSAST tool is not run on all commits -- score normalized to 0
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities29 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.5
Excluded from scoring (no data or not applicable): 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.

49Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
11/11Static type checkingfastaiagent/py.typed, ui-frontend/tsconfig.json
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno data
0/8Automated maintenanceno data
1/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configsfastaiagent/py.typed, ui-frontend/tsconfig.json
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
How it's scored
27/45Type-checkable codePython with type-check config (fastaiagent/py.typed, ui-frontend/tsconfig.json)
54.9/55Manageable file sizes1/823 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes67,639
source_files_sampled823
oversized_source_files1
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
20/20MCP server
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files
interfaces_expected_of
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

0GitHub stars
3contributors
255commits, last 12 months
0days since last push
14releases
1bus factor
0open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

More detail

OpenSSF Scorecard 4.5 / 10
4.5aggregate

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 · 2026-07-17 20:13 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 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 0/30 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
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
10Packagingpackaging workflow detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities29 existing vulnerabilities detected
Direct dependencies 33
RegistryPackageVersion constraintManifest
PyPIpydantic>=2.0,<3pyproject.toml
PyPIhttpx>=0.25,<1pyproject.toml
PyPIopentelemetry-api>=1.20,<2pyproject.toml
PyPIopentelemetry-sdk>=1.20,<2pyproject.toml
PyPItyper>=0.9,<1pyproject.toml
PyPIrich>=13.0,<15pyproject.toml
PyPIPillow>=10.0,<13pyproject.toml
PyPIpymupdf>=1.24,<2pyproject.toml
npm@fontsource/dm-sans^5.2.8ui-frontend/package.json
npm@fontsource/jetbrains-mono^5.2.8ui-frontend/package.json
npm@tailwindcss/vite^4.1.18ui-frontend/package.json
npm@tanstack/react-query^5.90.21ui-frontend/package.json
npm@tanstack/react-virtual^3.10.9ui-frontend/package.json
npm@xyflow/react^12.10.2ui-frontend/package.json
npmclass-variance-authority^0.7.1ui-frontend/package.json
npmclsx^2.1.1ui-frontend/package.json
npmdagre^0.8.5ui-frontend/package.json
npmdate-fns^4.1.0ui-frontend/package.json
npmlucide-react^0.574.0ui-frontend/package.json
npmradix-ui^1.4.3ui-frontend/package.json
npmreact^19.2.0ui-frontend/package.json
npmreact-day-picker^9.14.0ui-frontend/package.json
npmreact-diff-viewer-continued^4.2.0ui-frontend/package.json
npmreact-dom^19.2.0ui-frontend/package.json
npmreact-markdown^10.1.0ui-frontend/package.json
npmreact-router-dom^6.30.3ui-frontend/package.json
npmrecharts^3.8.0ui-frontend/package.json
npmrehype-sanitize^6.0.0ui-frontend/package.json
npmremark-gfm^4.0.1ui-frontend/package.json
npmsonner^2.0.7ui-frontend/package.json
npmtailwind-merge^3.4.1ui-frontend/package.json
npmtailwindcss^4.1.18ui-frontend/package.json
npmzustand^5.0.11ui-frontend/package.json
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

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 v0.12.0 — full methodology · metrics wiki.

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