Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-15 23:32 UTC

Smart-AI-Memory / attune-ai

Persistent memory and receipt-verified workflows for Claude Code — plugin, MCP server, and spec-driven dev framework in one pip install.

HTML · PythonApache-2.0★ 10 stars⑂ 2 forkssince Feb 2026View on GitHub ↗
KindPluginCommand-line toolLibraryMCP serverWeb interfacehow this is determined
#ai#claude#cost-optimization#developer-tools#llm#multi-agent#workflows#sdd#spec-driven-development#agent-memory#claude-code#claude-code-plugin#mcp#python#rag

Smart-AI-Memory/attune-ai holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Vitality (94/100) and lowest on Community & Adoption (54/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

89
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.

89
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 75 is calibrated to 89 on the published index scale (record calibration 2026-08-02).

Ownership

Smart AI MemoryOrganization
5 followers18 public repossince Oct 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIattune-ai16.4.04,3711796 days agoaiclaudeanthropicllmai-agentmulti-agentdeveloper-toolscode-reviewsecurity-audittest-generationworkflow-automationcost-optimizationclaude-codemcpmodel-context-protocolstatic-analysiscode-qualitydevopsci-cdcli

Metrics by category

Vitality

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

94Exceptional · 21% of overall

Development activity

96Exceptional
How it's scored
36/36Push recency — last push 1 days ago
32.5/36Commit cadence — 47/52 weeks with commits
18/18Commit volume — 4,134 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year4,134
human_commit_share0.71
days_since_last_push1
active_weeks_last_year47

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 6 days ago
27/27Release cadence — a release every ~2 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv16.4.0
releases_from_tagsno
days_since_latest_release6
mean_days_between_releases2

Community & Adoption

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

54Moderate · 17% of overall

Popularity & adoption

16Critical
How it's scored
15.5/60Stars — 10 stars
0/25Forks — 2 forks
0/15Watchers — 1 watchers
Inputs used
forks2
stars10
watchers1
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_servicesgithub.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

61Moderate
How it's scored
48.5/80Monthly downloads — 4,371 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesattune-ai
dependents—
ecosystemspypi
total_downloads—
monthly_downloads4,371
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?

56Moderate · 23% of overall

Maintainer resilience (bus factor)

18Critical
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
2.7/13.5Contributor breadth — 2 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.999

Issue & PR responsiveness

75Good
How it's scored
36.5/42Issue resolution — 87% of issues closed
29/30PR acceptance — 2,400/2,481 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/29 approved changesets -- score normalized to 0
Inputs used
merged_prs2,400
open_issues6
closed_issues40
prs_merged_7d46
prs_decided_7d47
prs_merged_30d52
prs_decided_30d53
issue_closed_ratio0.87
closed_unmerged_prs81
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

47Weak
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
5.6/25Owner reach — 5 followers of Smart-AI-Memory
11.1/25Track record — 18 public repos, account ~0 yr old
Inputs used
followers5
owner_typeOrganization
is_verifiedno
owner_loginSmart-AI-Memory
public_repos18
account_age_days324

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 — 179 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesattune-ai
ecosystemspypi
any_deprecatedno
min_days_since_publish6

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 31 workflow(s)
24/24Tests present
16/16Linter config — eslint.config.mjs, pyproject.toml ([tool.ruff], [tool.black])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 25 out of 25 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://attune-ai.dev
10/10Repository description
10/10Topics — 15 topics
0/10Wiki
Inputs used
topicsai, claude, cost-optimization, developer-tools, llm, multi-agent, workflows, sdd, spec-driven-development, agent-memory, claude-code, claude-code-plugin, mcp, python, rag
has_wikino
homepagehttps://attune-ai.dev
docs_sitehttps://attune-ai.dev
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

76Good · 16% of overall

Security posture

70Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 25 out of 25 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 0/29 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
0/10Dangerous-Workflow — no data
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — no data
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — no data
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated13
scorecard_versionv5.5.0
checks_inconclusive5
scorecard_aggregate7
Excluded from scoring (no data or not applicable): Branch-Protection, Dangerous-Workflow, Fuzzing, Packaging, 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_packages68
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:attune-ai@16.4.0 runtime dependency closure — what installing the published package pulls in — 68 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.

91Excellent · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — .agents/AGENTS.md, .claude/CLAUDE.md, AGENTS.md, CLAUDE.md, content/features/agents.md, docs/architecture/agents.md, docs/features/agents.md, docs/how-to/agents.md, docs/reference/agents.md, plugin/help/generated/comparisons/agents.md, plugin/help/generated/concepts/agents.md, plugin/help/generated/errors/agents.md, plugin/help/generated/faqs/agents.md, plugin/help/generated/notes/agents.md, plugin/help/generated/quickstarts/agents.md, plugin/help/generated/references/agents.md, plugin/help/generated/tasks/agents.md, plugin/help/generated/tips/agents.md, plugin/help/generated/troubleshooting/agents.md, plugin/help/generated/warnings/agents.md, src/attune/commands/agent.md, website/CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 71 of 71 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files.agents/AGENTS.md, .claude/CLAUDE.md, AGENTS.md, CLAUDE.md, content/features/agents.md, docs/architecture/agents.md, docs/features/agents.md, docs/how-to/agents.md, docs/reference/agents.md, plugin/help/generated/comparisons/agents.md, plugin/help/generated/concepts/agents.md, plugin/help/generated/errors/agents.md, plugin/help/generated/faqs/agents.md, plugin/help/generated/notes/agents.md, plugin/help/generated/quickstarts/agents.md, plugin/help/generated/references/agents.md, plugin/help/generated/tasks/agents.md, plugin/help/generated/tips/agents.md, plugin/help/generated/troubleshooting/agents.md, plugin/help/generated/warnings/agents.md, src/attune/commands/agent.md, website/CLAUDE.md
agent_instruction_max_bytes76,488

Verify loop (build / test / typecheck)

95Exceptional
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — eslint.config.mjs, pyproject.toml ([tool.ruff], [tool.black])
11/11Static type checking — attune_redis/py.typed, vscode-extension/tsconfig.json, website/tsconfig.json
10/10Reproducible environment — devcontainer, Dockerfile, lockfile
10/10Demonstrated agent practice — 57 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 8 of the last 100 commits are automated dependency updates
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontaineryes
has_linter_configyes
typecheck_configsattune_redis/py.typed, vscode-extension/tsconfig.json, website/tsconfig.json
agent_commit_share0.57
toolchain_manifestsplugins/jetbrains-plugin/build.gradle.kts
dependency_bot_commit_share0.08

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — HTML with type-check config (attune_redis/py.typed, vscode-extension/tsconfig.json, website/tsconfig.json)
54.7/55Manageable file sizes — 16/2,566 source files over 60KB
Inputs used
primary_languageHTML
largest_source_bytes677,463
source_files_sampled2,566
oversized_source_files16

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 — demos, examples
Inputs used
example_dirsdemos, examples
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

10GitHub stars
2contributors
4,134commits, last 12 months
1days since last push
100releases
1bus factor
6open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'attune-ai' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • Could not fetch pypi package 'attune-redis' from its registry
  • Could not fetch npm package 'attune-dashboard' from its registry
  • pypi download figures for attune-ai carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

Star and fork history 0 ★ / 2 ⇿
0Stars
2Forks
91Releases

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.

111222212026-022026-052026-08
Major 9Minor 47Patch 34
OpenSSF Scorecard 7.0 / 10
7.0aggregate

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 · 2026-09-15 23:32 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests25 out of 25 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 0/29 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
n/aDangerous-Workflowno workflows found
10Dependency-Update-Toolupdate tool detected
n/aFuzzinginternal error: internal error: Client.Search.Code: http.Get: Get "https://oss-fuzz-build-logs.storage.googleapis.com/status.json": dial tcp [2a00:1450:4001:c1f::cf]:443: connect: network is unreachable
10Licenselicense file detected
10Maintained30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
n/aToken-PermissionsNo tokens found
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 48
RegistryPackageVersion constraintManifest
PyPIattune-ai>=3.5.0attune_redis/pyproject.toml
PyPIagent-memory-client>=0.14.0attune_redis/pyproject.toml
PyPIredis>=5.0.0,<8.0.0attune_redis/pyproject.toml
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PyPIanthropic>=0.40.0,<2.0.0pyproject.toml
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All dependencies 966

Full resolved dependency set from the GitHub dependency graph: 54 direct and 912 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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npmupdate-browserslist-db1.2.3indirect
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npmvictory-vendor37.3.6indirect
npmvite8.2.2indirect
npmvitest4.1.11indirect
npmwhich2.0.2indirect
npmwhich-boxed-primitive1.1.1indirect
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npmzod4.4.3indirect
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PyPIaiohappyeyeballs2.7.1indirect
PyPIaiohttp3.14.3indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.14.1indirect
PyPIast-serialize0.6.0indirect
PyPIasync-timeout5.0.1indirect
PyPIatheris3.0.0indirect
PyPIattrs26.1.0indirect
PyPIattune-help0.13.0indirect
PyPIbabel2.18.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbackports-datetime-fromisoformat2.0.3indirect
PyPIbackrefs7.0indirect
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PyPIbeautifulsoup44.15.0indirect
PyPIblack26.5.1indirect
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PyPIbrotlicffi1.2.0.1indirect
PyPIcattrs26.1.0indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.1.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.9indirect
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PyPIcolorama0.4.6indirect
PyPIcoverage7.15.0indirect
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PyPIdocstring-parser0.18.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIfastapi0.139.0indirect
PyPIfilelock3.29.7indirect
PyPIfonttools4.63.0indirect
PyPIfrozenlist1.8.0indirect
PyPIghp-import2.1.0indirect
PyPIgitdb4.0.12indirect
PyPIgitpython3.1.59indirect
PyPIgoogleapis-common-protos1.75.0indirect
PyPIgriffelib2.1.0indirect
PyPIgrpcio1.82.1indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttptools0.8.0indirect
PyPIhttpx—indirect
PyPIhttpx0.28.1indirect
PyPIhttpx-sse0.4.3indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIjiter0.16.0indirect
PyPIjsonpatch1.33indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIlangchain1.3.13indirect
PyPIlangchain-anthropic1.4.8indirect
PyPIlangchain-core1.4.9indirect
PyPIlangchain-protocol0.0.18indirect
PyPIlangchain-text-splitters1.1.2indirect
PyPIlanggraph1.2.9indirect
PyPIlanggraph-checkpoint4.1.1indirect
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PyPIlanggraph-sdk0.4.2indirect
PyPIlibrt0.13.0indirect
PyPIlibsass0.23.0indirect
PyPIlsprotocol2025.0.0indirect
PyPIlxml6.1.1indirect
PyPImando0.7.1indirect
PyPImarkdown3.10.2indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImarshmallow4.3.0indirect
PyPImdurl0.1.2indirect
PyPImemdocs2.1.2indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-material9.7.7indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocs-with-pdf0.9.3indirect
PyPImkdocstrings1.0.6indirect
PyPImkdocstrings-python2.0.5indirect
PyPImultidict6.7.1indirect
PyPImypy2.2.0indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.10.0indirect
PyPIopentelemetry-api1.43.0indirect
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PyPIopentelemetry-exporter-otlp-proto-grpc1.43.0indirect
PyPIopentelemetry-proto1.43.0indirect
PyPIopentelemetry-sdk1.43.0indirect
PyPIopentelemetry-semantic-conventions0.64b0indirect
PyPIorjson3.11.9indirect
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PyPIpluggy1.6.0indirect
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PyPIpropcache0.5.2indirect
PyPIprotobuf7.35.1indirect
PyPIpycparser3.0indirect
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PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpymdown-extensions11.0.1indirect
PyPIpyphen0.17.2indirect
PyPIpytest—indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio—indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-mock—indirect
PyPIpytest-mock3.15.1indirect
PyPIpytest-picked0.5.1indirect
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PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.4.4indirect
PyPIpython-docx1.2.0indirect
PyPIpython-ulid3.1.0indirect
PyPIpytokens0.4.1indirect
PyPIpywin32312indirect
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PyPIregex2026.7.10indirect
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PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.6.3indirect
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PyPIsetuptools—indirect
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PyPIstreamlit—indirect
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PyPIvirtualenv21.6.1indirect
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PyPIwatchfiles1.2.0indirect
PyPIweasyprint70.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsockets15.0.1indirect
PyPIxxhash3.8.1indirect
PyPIyarl1.24.2indirect
PyPIzopfli0.4.3indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

Installing pypi:attune-ai@16.4.0 pulls in 68 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

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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.