Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 23:05 UTC

natefleming / dao-ai

PythonMIT★ 15 stars⑂ 12 forkssince Apr 2025View on GitHub ↗
KindCommand-line toolLibraryMCP serverhow this is determined

natefleming/dao-ai holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Vitality (99/100) and lowest on Community & Adoption (49/100). It was last updated today. A single contributor accounts for most of its recent work.

78
overall / 100
Good

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.

78
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 67 is calibrated to 78 on the published index scale (record calibration 2026-08-02).

Ownership

Nate FlemingPersonal account
6 followers60 public repossince Oct 2012Databricks

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
PyPIdao-ai0.2.192,3141616 days agoagentsaidatabrickslangchainlanggraphllmmulti-agentorchestrationvector-searchworkflow

Metrics by category

Vitality

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

99Exceptional · 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 — 1,240 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,240
human_commit_share1
days_since_last_push0
active_weeks_last_year49

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 6 days ago
27/27Release cadence — a release every ~1.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv0.2.19
releases_from_tagsno
days_since_latest_release6
mean_days_between_releases1.7
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?

49Weak · 17% of overall

Popularity & adoption

27At Risk
How it's scored
18.6/60Stars — 15 stars
8.7/25Forks — 12 forks
0/15Watchers — 1 watchers
Inputs used
forks12
stars15
watchers1
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 (MIT)
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_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

56Moderate
How it's scored
44.9/80Monthly downloads — 2,314 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdao-ai
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,314
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?

54Moderate · 23% of overall

Maintainer resilience (bus factor)

24At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
6.9/22.5Commit distribution — top contributor authored 69% of commits
5.4/13.5Contributor breadth — 4 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled4
top_contributor_share0.692

Issue & PR responsiveness

57Moderate
How it's scored
21/42Issue resolution — 50% of issues closed
28.6/30PR acceptance — 303/318 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_prs303
open_issues6
closed_issues6
prs_merged_7d8
prs_decided_7d8
prs_merged_30d47
prs_decided_30d47
issue_closed_ratio0.5
closed_unmerged_prs15
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

51Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
6.1/25Owner reach — 6 followers of natefleming
25/25Track record — 60 public repos, account ~13 yr old
Inputs used
followers6
owner_typeUser
is_verified—
owner_loginnatefleming
public_repos60
account_age_days5,084
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 6 days ago
20/20Version history — 161 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdao-ai
ecosystemspypi
any_deprecatedno
min_days_since_publish6

Engineering Quality

Are baseline engineering and documentation practices in place?

70Good · 19% of overall

Engineering practices

64Moderate
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 23 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://natefleming.github.io/dao-ai
0/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_sitehttps://natefleming.github.io/dao-ai
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

56Moderate · 16% of overall

Security posture

49Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
0/2.5CI-Tests — 0 out of 23 merged PRs checked by a CI test -- score normalized to 0
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
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
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 10 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 61 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.8
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

85Excellent
How it's scored
20.2/35Direct dependencies free of known advisories — 1 affected: langgraph-checkpoint-postgres 3.0.5 (moderate 5.3)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
40/40No advisories left outstanding — no advisory has been public longer than 90 days
Inputs used
sourceosv
advisories2
affected_packages1
assessed_packages183
unassessed_packages0
affected_by_severitymoderate 1
direct_affected_packages1
Matched the pypi:dao-ai@0.2.19 runtime dependency closure — what installing the published package pulls in — 183 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.

90Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — examples/13_orchestration/instructions/AGENTS.md, examples/13_orchestration/skills/sporting_goods_store/research/AGENTS.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.databricks.com/llms.txt)
40/40Legible commit history — 79 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.databricks.com/llms.txt
legible_history_share0.79
agent_instruction_filesexamples/13_orchestration/instructions/AGENTS.md, examples/13_orchestration/skills/sporting_goods_store/research/AGENTS.md
agent_instruction_max_bytes634

Verify loop (build / test / typecheck)

82Excellent
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/dao_ai/apps/chat/tsconfig.json
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/dao_ai/apps/chat/tsconfig.json
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/dao_ai/apps/chat/tsconfig.json)
53.4/55Manageable file sizes — 14/476 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes554,284
source_files_sampled476
oversized_source_files14

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — examples
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

15GitHub stars
4contributors
1,240commits, last 12 months
0days since last push
100releases
1bus factor
6open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 12 ⇿
0Stars
12Forks
84Releases

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.

0246810121222025-052025-122026-07
Major 0Minor 0Patch 84

Each point covers 2 days.

OpenSSF Scorecard 4.8 / 10
4.8aggregate

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 · 2026-09-10 23:04 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
0CI-Tests0 out of 23 merged PRs checked by a CI test -- score normalized to 0
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
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities61 existing vulnerabilities detected
Direct dependencies 23
RegistryPackageVersion constraintManifest
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PyPIsqlparse>=0.5.4pyproject.toml
PyPIunitycatalog-ai>=0.3.2pyproject.toml
All dependencies 344

Full resolved dependency set from the GitHub dependency graph: 23 direct and 321 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIlangchain-core1.4.9indirect
PyPIlangchain-google-genai4.2.7indirect
PyPIlangchain-openai1.3.5indirect
PyPIlangchain-protocol0.0.18indirect
PyPIlangchain-text-splitters1.1.2indirect
PyPIlanggraph-checkpoint4.1.1indirect
PyPIlanggraph-prebuilt1.1.0indirect
PyPIlanggraph-sdk0.4.2indirect
PyPIlangmem0.0.30indirect
PyPIlangsmith0.10.7indirect
PyPIlibrt0.13.0indirect
PyPIlxml6.1.1indirect
PyPImako1.3.12indirect
PyPImarkdown3.10.2indirect
PyPImarkupsafe3.0.3indirect
PyPImarshmallow3.26.2indirect
PyPImatplotlib3.11.1indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-material9.7.7indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocstrings1.0.6indirect
PyPImkdocstrings-python2.0.5indirect
PyPImlflow-skinny3.14.0indirect
PyPImlflow-tracing3.14.0indirect
PyPImultidict6.7.1indirect
PyPImypy2.3.0indirect
PyPImypy-extensions1.1.0indirect
PyPInarwhals2.24.0indirect
PyPInodeenv1.10.0indirect
PyPInumpy2.5.1indirect
PyPIonnxruntime1.27.0indirect
PyPIopenai2.46.0indirect
PyPIopenai-agents0.18.3indirect
PyPIopenpyxl3.1.5indirect
PyPIopentelemetry-api1.44.0indirect
PyPIopentelemetry-proto1.44.0indirect
PyPIopentelemetry-sdk1.44.0indirect
PyPIopentelemetry-semantic-conventions0.65b0indirect
PyPIorjson3.11.9indirect
PyPIormsgpack1.12.2indirect
PyPIpackaging26.2indirect
PyPIpaginate0.5.7indirect
PyPIpandas2.3.3indirect
PyPIpathspec1.1.1indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.10.1indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.0indirect
PyPIprettytable3.18.0indirect
PyPIprimp1.3.1indirect
PyPIpropcache0.5.2indirect
PyPIproto-plus1.28.1indirect
PyPIprotobuf5.29.6indirect
PyPIpsycopg-binary3.3.4indirect
PyPIpsycopg-pool3.3.1indirect
PyPIpy4j0.10.9.9indirect
PyPIpyarrow24.0.0indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings2.14.2indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpymdown-extensions11.0.1indirect
PyPIpyparsing3.3.2indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-mock3.15.1indirect
PyPIpytest-rerunfailures16.4indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.4.4indirect
PyPIpython-multipart0.0.32indirect
PyPIpytz2026.2indirect
PyPIpywin32312indirect
PyPIpyyaml-env-tag1.1indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.7.19indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruamel-yaml-clib0.2.15indirect
PyPIruff0.15.22indirect
PyPIs3transfer0.19.1indirect
PyPIscikit-learn1.9.0indirect
PyPIscipy1.18.0indirect
PyPIsetuptools83.0.0indirect
PyPIsix1.17.0indirect
PyPIskops0.14.0indirect
PyPIsmmap5.0.3indirect
PyPIsniffio1.3.1indirect
PyPIsocksio1.0.0indirect
PyPIsqlalchemy2.0.51indirect
PyPIsse-starlette3.4.6indirect
PyPIstarlette1.3.1indirect
PyPItabulate0.10.0indirect
PyPItenacity9.1.4indirect
PyPIthreadpoolctl3.6.0indirect
PyPItiktoken0.13.0indirect
PyPItokenizers0.23.1indirect
PyPItqdm4.69.0indirect
PyPItrustcall0.0.39indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspect0.9.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPIunitycatalog-client0.4.0indirect
PyPIunitycatalog-langchain0.3.0indirect
PyPIunitycatalog-openai0.2.0indirect
PyPIurllib32.7.0indirect
PyPIuuid-utils0.17.0indirect
PyPIuvicorn0.51.0indirect
PyPIuvloop0.22.1indirect
PyPIvirtualenv21.6.1indirect
PyPIwaitress3.0.2indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.2.0indirect
PyPIwcmatch11.0indirect
PyPIwcwidth0.8.2indirect
PyPIwebsockets15.0.1indirect
PyPIwerkzeug3.1.8indirect
PyPIwhenever0.7.3indirect
PyPIwin32-setctime1.2.0indirect
PyPIxxhash3.8.1indirect
PyPIyarl1.24.5indirect
PyPIzipp4.1.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 1

Installing pypi:dao-ai@0.2.19 pulls in 183 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
langgraph-checkpoint-postgres3.0.5directmoderate23.1.1

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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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.