Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-19 09:20 UTC

10xHub / Agentflow

Production-grade framework for building multi-agent AI systems. Graph-based orchestration, LLM-agnostic (OpenAI, Google GenAI, Anthropic), 3-layer memory (Redis cache + Postgres + vector store), live agents, parallel tool execution, and native MCP. Ships a full ecosystem: backend, REST API + CLI, TypeScript SDK, and React playground

PythonMIT★ 21 stars⑂ 10 forkssince Aug 2025View on GitHub ↗
KindLibraryhow this is determined
#agent-framework#agentic-ai#ai-agents#ai-agents-framework#anthropic#google-genai#live-agent#llm#llm-orchestration#mcp#model-context-protocol#multi-agent#openai#python#real-time#realtime-agents#stategraph#vector-database#langchain#langgraph

10xHub/Agentflow holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Vitality (88/100) and lowest on Community & Adoption (56/100). It was last updated 12 days ago. A single contributor accounts for most of its recent work.

86
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.

86
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 72 is calibrated to 86 on the published index scale (record calibration 2026-08-02).

Ownership

10xHubOrganization
6 followers12 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
PyPI10xscale-agentflow0.9.17174553 days agoagentagentsai-agentai-agentsmulti-agentmulti-agent-systemsagenticagentic-aiagentic-workflowagent-frameworkagent-orchestrationorchestrationworkflowworkflow-enginestate-machinestategraphgraphllmllm-agentllm-frameworkllm-orchestrationllmopsgenaigenerative-aiaiartificial-intelligenceopenaianthropicclaudegeminigoogle-genaimcpmodel-context-protocoltool-usefunction-callingragmemoryvector-storeqdrantmem0langgraphlangchaincrewaiautogenpydantic-aifastapireact-agentreasoningchatbotassistanta2a

Metrics by category

Vitality

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

88Excellent · 21% of overall

Development activity

86Excellent
How it's scored
28.8/36Push recency — last push 12 days ago
29.1/36Commit cadence — 42/52 weeks with commits
18/18Commit volume — 529 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year529
human_commit_share0.98
days_since_last_push12
active_weeks_last_year42

Release discipline

90Excellent
How it's scored
27/27Ships releases — 11 releases published
36/36Release recency — latest release 53 days ago
27/27Release cadence — a release every ~25.4 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count11
latest_release_tagv0.9.1
releases_from_tagsno
days_since_latest_release53
mean_days_between_releases25.4

Community & Adoption

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

56Moderate · 17% of overall

Popularity & adoption

29At Risk
How it's scored
21.1/60Stars — 21 stars
8/25Forks — 10 forks
0/15Watchers — 1 watchers
Inputs used
forks10
stars21
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 (MIT)
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_badges11
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

48Weak
How it's scored
38.1/80Monthly downloads — 717 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packages10xscale-agentflow
dependents—
ecosystemspypi
total_downloads—
monthly_downloads717
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?

59Moderate · 23% of overall

Maintainer resilience (bus factor)

30At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
2.9/22.5Commit distribution — top contributor authored 87% of commits
8.1/13.5Contributor breadth — 6 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled6
top_contributor_share0.87

Issue & PR responsiveness

75Good
How it's scored
42/42Issue resolution — 100% of issues closed
23/30PR acceptance — 98/128 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/11 approved changesets -- score normalized to 0
Inputs used
merged_prs98
open_issues0
closed_issues17
prs_merged_7d0
prs_decided_7d0
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio1
closed_unmerged_prs30
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

46Weak
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
6.1/25Owner reach — 6 followers of 10xHub
10/25Track record — 12 public repos, account ~0 yr old
Inputs used
followers6
owner_typeOrganization
is_verifiedno
owner_login10xHub
public_repos12
account_age_days350

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 53 days ago
20/20Version history — 45 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packages10xscale-agentflow
ecosystemspypi
any_deprecatedno
min_days_since_publish53

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 6 out of 6 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

65Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://agentflow.10xscale.ai/
10/10Repository description
10/10Topics — 20 topics
0/10Wiki
Inputs used
topicsagent-framework, agentic-ai, ai-agents, ai-agents-framework, anthropic, google-genai, live-agent, llm, llm-orchestration, mcp, model-context-protocol, multi-agent, openai, python, real-time, realtime-agents, stategraph, vector-database, langchain, langgraph
has_wikino
homepagehttps://agentflow.10xscale.ai/
docs_sitehttps://agentflow.10xscale.ai/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

72Good · 16% of overall

Security posture

65Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 6 out of 6 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 0/11 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
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.
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_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.5
Excluded from scoring (no data or not applicable): Packaging. 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_packages9
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:10xscale-agentflow@0.9.1 runtime dependency closure — what installing the published package pulls in — 9 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.

85Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — .github/copilot-instructions.md, CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://agentflow.10xscale.ai/llms.txt)
40/40Legible commit history — 94 of 98 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://agentflow.10xscale.ai/llms.txt
legible_history_share0.959
agent_instruction_files.github/copilot-instructions.md, CLAUDE.md
agent_instruction_max_bytes12,098

Verify loop (build / test / typecheck)

70Good
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — agentflow/py.typed
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 2 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configsagentflow/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.02

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (agentflow/py.typed)
54.8/55Manageable file sizes — 2/498 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes99,708
source_files_sampled498
oversized_source_files2

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
Inputs used
example_dirsexamples
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

21GitHub stars
6contributors
529commits, last 12 months
12days since last push
11releases
1bus factor
0open 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 ★ / 10 ⇿
0Stars
10Forks
9Releases

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.

02468101012025-092026-022026-07
Major 0Minor 2Patch 4
OpenSSF Scorecard 6.5 / 10
6.5aggregate

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 · 2026-09-19 09:20 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests6 out of 6 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 0/11 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPIinjectq>=0.4.0,<0.5pyproject.toml
PyPIpillow>=12.2.0pyproject.toml
PyPIpydantic>=2.0,<3pyproject.toml
PyPIPyYAML>=6.0pyproject.toml
PyPIpython-dotenv>=1.0pyproject.toml
All dependencies 207

Full resolved dependency set from the GitHub dependency graph: 10 direct and 197 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIinjectq—direct
PyPIinjectq0.4.1direct
PyPIpillow—direct
PyPIpillow12.2.0direct
PyPIpydantic—direct
PyPIpydantic2.11.9direct
PyPIpython-dotenv—direct
PyPIpython-dotenv1.1.1direct
PyPIpyyaml—direct
PyPIpyyaml6.0.2direct
PyPI10xscale-agentflow0.7.2indirect
PyPIa2a-sdk—indirect
PyPIa2a-sdk0.3.25indirect
PyPIaio-pika—indirect
PyPIaio-pika9.5.7indirect
PyPIaioboto315.5.0indirect
PyPIaiobotocore2.25.1indirect
PyPIaiofiles—indirect
PyPIaiofiles25.1.0indirect
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.12.15indirect
PyPIaioitertools0.13.0indirect
PyPIaiokafka—indirect
PyPIaiokafka0.12.0indirect
PyPIaiormq6.9.0indirect
PyPIaiosignal1.4.0indirect
PyPIaiosqlite—indirect
PyPIannotated-types0.7.0indirect
PyPIanthropic—indirect
PyPIanyio4.10.0indirect
PyPIasync-timeout4.0.3indirect
PyPIasyncpg—indirect
PyPIasyncpg0.30.0indirect
PyPIattrs25.3.0indirect
PyPIauthlib1.6.11indirect
PyPIbackoff2.2.1indirect
PyPIboto31.40.61indirect
PyPIbotocore1.40.61indirect
PyPIcachetools6.2.4indirect
PyPIcertifi2025.8.3indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.4.0indirect
PyPIcharset-normalizer3.4.3indirect
PyPIclick8.2.1indirect
PyPIcloud-storage-manager—indirect
PyPIcloud-storage-manager0.1.2indirect
PyPIcolorama0.4.6indirect
PyPIcomposio0.8.15indirect
PyPIcomposio-client1.9.1indirect
PyPIcoverage7.10.7indirect
PyPIcryptography46.0.1indirect
PyPIcyclopts3.24.0indirect
PyPIdataclasses-json0.6.7indirect
PyPIdistlib0.4.0indirect
PyPIdistro1.9.0indirect
PyPIdnspython2.8.0indirect
PyPIdocstring-parser0.17.0indirect
PyPIdocutils0.22.2indirect
PyPIemail-validator2.3.0indirect
PyPIexceptiongroup1.3.0indirect
PyPIexecnet2.1.1indirect
PyPIfastmcp—indirect
PyPIfastmcp2.12.3indirect
PyPIfilelock3.19.1indirect
PyPIfrozenlist1.7.0indirect
PyPIgoogle-api-core2.30.1indirect
PyPIgoogle-auth2.45.0indirect
PyPIgoogle-cloud-core2.5.1indirect
PyPIgoogle-cloud-storage3.10.1indirect
PyPIgoogle-crc32c1.8.0indirect
PyPIgoogle-genai—indirect
PyPIgoogle-genai1.56.0indirect
PyPIgoogle-resumable-media2.8.2indirect
PyPIgoogleapis-common-protos1.73.1indirect
PyPIgreenlet3.2.4indirect
PyPIgrpcio1.75.1indirect
PyPIh110.16.0indirect
PyPIh24.3.0indirect
PyPIhpack4.1.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhttpx-sse0.4.1indirect
PyPIhyperframe6.1.0indirect
PyPIhypothesis—indirect
PyPIhypothesis6.142.2indirect
PyPIidentify2.6.14indirect
PyPIidna3.10indirect
PyPIiniconfig2.1.0indirect
PyPIisodate0.7.2indirect
PyPIjiter0.11.0indirect
PyPIjmespath1.1.0indirect
PyPIjsonpatch1.33indirect
PyPIjsonpointer3.0.0indirect
PyPIjsonschema4.25.1indirect
PyPIjsonschema-path0.3.4indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIlangchain1.2.15indirect
PyPIlangchain-community0.3.29indirect
PyPIlangchain-core1.2.31indirect
PyPIlanggraph1.1.6indirect
PyPIlanggraph-checkpoint4.0.2indirect
PyPIlanggraph-prebuilt1.0.9indirect
PyPIlanggraph-sdk0.3.6indirect
PyPIlangsmith0.7.31indirect
PyPIlazy-object-proxy1.12.0indirect
PyPIlitellm—indirect
PyPIlogfire—indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.2indirect
PyPImarshmallow3.26.1indirect
PyPImcp—indirect
PyPImcp1.14.1indirect
PyPImdurl0.1.2indirect
PyPImem0ai—indirect
PyPImem0ai0.1.118indirect
PyPImore-itertools10.8.0indirect
PyPImultidict6.6.4indirect
PyPImypy—indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.9.1indirect
PyPInumpy2.3.3indirect
PyPIopenai—indirect
PyPIopenai1.108.1indirect
PyPIopenapi-core0.19.5indirect
PyPIopenapi-pydantic0.5.1indirect
PyPIopenapi-schema-validator0.6.3indirect
PyPIopenapi-spec-validator0.7.2indirect
PyPIopentelemetry-api—indirect
PyPIopentelemetry-exporter-otlp-proto-http—indirect
PyPIopentelemetry-sdk—indirect
PyPIorjson3.11.3indirect
PyPIormsgpack1.12.2indirect
PyPIpackaging25.0indirect
PyPIpamqp3.3.0indirect
PyPIparse1.20.2indirect
PyPIpathable0.4.4indirect
PyPIplatformdirs4.4.0indirect
PyPIpluggy1.6.0indirect
PyPIportalocker3.2.0indirect
PyPIposthog6.7.6indirect
PyPIpre-commit—indirect
PyPIpre-commit4.3.0indirect
PyPIpropcache0.3.2indirect
PyPIproto-plus1.27.2indirect
PyPIprotobuf5.29.5indirect
PyPIpy-cpuinfo9.0.0indirect
PyPIpyasn10.6.1indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser2.23indirect
PyPIpydantic-core2.33.2indirect
PyPIpydantic-settings2.10.1indirect
PyPIpygments2.19.2indirect
PyPIpyperclip1.10.0indirect
PyPIpysher1.0.8indirect
PyPIpytest—indirect
PyPIpytest8.4.2indirect
PyPIpytest-asyncio—indirect
PyPIpytest-asyncio1.2.0indirect
PyPIpytest-benchmark—indirect
PyPIpytest-benchmark5.1.0indirect
PyPIpytest-cov—indirect
PyPIpytest-cov7.0.0indirect
PyPIpytest-env—indirect
PyPIpytest-env1.1.5indirect
PyPIpytest-xdist—indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-multipart0.0.26indirect
PyPIpytz2025.2indirect
PyPIpywin32311indirect
PyPIqdrant-client—indirect
PyPIqdrant-client1.15.1indirect
PyPIredis—indirect
PyPIredis6.4.0indirect
PyPIreferencing0.36.2indirect
PyPIrequests2.32.5indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrich14.1.0indirect
PyPIrich-rst1.3.1indirect
PyPIrpds-py0.27.1indirect
PyPIrsa4.9.1indirect
PyPIs3transfer0.14.0indirect
PyPIsetuptools—indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsqlalchemy2.0.43indirect
PyPIsse-starlette3.0.2indirect
PyPIstarlette0.48.0indirect
PyPItenacity9.1.2indirect
PyPItqdm4.67.1indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspect0.9.0indirect
PyPItyping-inspection0.4.1indirect
PyPIurllib32.5.0indirect
PyPIuuid-utils0.14.1indirect
PyPIuvicorn0.36.0indirect
PyPIvirtualenv20.34.0indirect
PyPIwebsocket-client1.8.0indirect
PyPIwebsockets15.0.1indirect
PyPIwerkzeug3.1.1indirect
PyPIwheel—indirect
PyPIwrapt1.17.3indirect
PyPIxxhash3.6.0indirect
PyPIyarl1.20.1indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

Installing pypi:10xscale-agentflow@0.9.1 pulls in 9 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.

Raw JSON report machine-readable

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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.