Public record
Software health reportschema 0.27.0 · metrics 2.5.0 · 2026-08-02 11:24 UTC

Marker-Inc-Korea / AutoRAG

AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.

TypeScript · PythonCustom license★ 4,963 stars⑂ 420 forkssince Jan 2024View on GitHub ↗
KindLibraryNetwork serviceCommand-line toolhow this is determined
#analysis#automl#benchmarking#document-parser#embeddings#evaluation#llm#llm-evaluation#llm-ops#open-source#ops#optimization#pipeline#python#qa#rag#rag-evaluation#retrieval-augmented-generation

Marker-Inc-Korea/AutoRAG holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Security (57/100). 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

Markr.AIOrganization
141 followers54 public repossince Nov 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
npm@autorag/librarian2.1.030929 days ago—
PyPIAutoRAG0.3.24-7610 days agoautomlautoml-ragautoragragevaluationrag-autorag-evaluation

Metrics by category

Vitality

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

83Excellent · 21% of overall

Development activity

71Good
How it's scored
36/36Push recency — last push 1 days ago
8.3/36Commit cadence — 12/52 weeks with commits
17/18Commit volume — 77 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year77
human_commit_share0.95
days_since_last_push1
active_weeks_last_year12

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 69 releases published
36/36Release recency — latest release 9 days ago
27/27Release cadence — a release every ~36.3 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count69
latest_release_tagv2.1.0
releases_from_tagsno
days_since_latest_release9
mean_days_between_releases36.3
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?

67Good · 17% of overall

Popularity & adoption

90Excellent
How it's scored
59.9/60Stars — 4,963 stars
21.9/25Forks — 420 forks
8.4/15Watchers — 34 watchers
Inputs used
forks420
stars4,963
watchers34
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

59Moderate
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingno
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

42Weak
How it's scored
33.2/80Monthly downloads — 309 downloads/month across npm, pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packages@autorag/librarian, AutoRAG
dependents—
ecosystemsnpm, pypi
total_downloads—
monthly_downloads309
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?

67Good · 23% of overall

Maintainer resilience (bus factor)

44Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
11.2/22.5Commit distribution — top contributor authored 50% of commits
13.5/13.5Contributor breadth — 25 contributors
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled25
top_contributor_share0.502

Issue & PR responsiveness

67Good
How it's scored
35.1/42Issue resolution — 84% of issues closed
23.2/30PR acceptance — 527/680 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_prs527
open_issues114
closed_issues580
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.836
closed_unmerged_prs153
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): newcomer_pr_acceptance. Remaining weights renormalized.

Ownership & stewardship

70Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
15.5/25Owner reach — 141 followers of Marker-Inc-Korea
24.1/25Track record — 54 public repos, account ~5 yr old
Inputs used
followers141
owner_typeOrganization
is_verified—
owner_loginMarker-Inc-Korea
public_repos54
account_age_days2,090

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 2 package(s) on npm, pypi
35/35Publish recency — latest publish 9 days ago
20/20Version history — 76 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packages@autorag/librarian, AutoRAG
ecosystemsnpm, pypi
any_deprecatedno
min_days_since_publish9

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config — biome.json
9.6/9.6Pre-commit hooks
0/6.4.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_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://marker-inc-korea.github.io/AutoRAG/
10/10Repository description
10/10Topics — 18 topics
10/10Wiki
Inputs used
topicsanalysis, automl, benchmarking, document-parser, embeddings, evaluation, llm, llm-evaluation, llm-ops, open-source, ops, optimization, pipeline, python, qa, rag, rag-evaluation, retrieval-augmented-generation
has_wikiyes
homepagehttps://marker-inc-korea.github.io/AutoRAG/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

57Moderate · 16% of overall

Security posture

55Moderate
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 — 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 0/11 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 6 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 46 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.5
Excluded from scoring (no data or not applicable): branch_protection, signed_releases. Remaining weights renormalized.

Dependency advisories

64Moderate
How it's scored
5.5/35Direct dependencies free of known advisories — 3 affected: chromadb 1.5.9 (critical 9.8), aiohttp 3.13.5 (high 7.5), couchbase 4.6.2 (high 7.5)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
33.7/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 997 days ago
Inputs used
sourceosv
advisories25
affected_packages3
assessed_packages289
unassessed_packages0
affected_by_severitycritical 1, high 2
direct_affected_packages3
Matched the pypi:AutoRAG@0.3.24 runtime dependency closure — what installing the published package pulls in — 289 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.

82Excellent · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — .github/copilot-instructions.md, AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 92 of 95 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share0.968
agent_instruction_files.github/copilot-instructions.md, AGENTS.md
agent_instruction_max_bytes16,553

Verify loop (build / test / typecheck)

88Excellent
How it's scored
18/18One-command bootstrap — legacy/docs/Makefile
22/22Automated tests
11/11Lint / format config — biome.json
11/11Static type checking — tsconfig.json
10/10Reproducible environment — lockfile
8/10Demonstrated agent practice — 4 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 5 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
lockfilesuv.lock
has_dockerfileno
typed_languageyes
bootstrap_fileslegacy/docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configstsconfig.json
agent_commit_share0.04
toolchain_manifests—
dependency_bot_commit_share0.05

Code legibility for models

100Exceptional
How it's scored
45/45Type-checkable code — TypeScript (statically typed)
54.5/55Manageable file sizes — 5/560 source files over 60KB
Inputs used
primary_languageTypeScript
largest_source_bytes940,009
source_files_sampled560
oversized_source_files5

Machine-readable interfaces

40Weak
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — legacy/autorag/deploy/swagger.yml
0/20MCP server
0/40Runnable examples
Inputs used
example_dirs—
has_mcp_signalno
api_schema_fileslegacy/autorag/deploy/swagger.yml

Key facts

4,963GitHub stars
25contributors
77commits, last 12 months
1days since last push
69releases
1bus factor
114open issues
npm, 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 ★ / 420 ⇿
0Stars
420Forks
65Releases

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.

0100200300400500420222024-022025-052026-07
Major 1Minor 4Patch 57

Each point covers 3 days.

OpenSSF Scorecard 5.5 / 10
5.5aggregate

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 · 2026-08-02 11:24 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-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 0/11 approved changesets -- score normalized to 0
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities46 existing vulnerabilities detected
Direct dependencies 77
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Full resolved dependency set from the GitHub dependency graph: 81 direct and 443 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIcramjam2.11.0indirect
PyPIcryptography49.0.0indirect
PyPIcuda-bindings13.3.1indirect
PyPIcuda-core1.0.1indirect
PyPIcuda-pathfinder1.6.0indirect
PyPIcuda-python13.3.1indirect
PyPIcuda-tile1.3.0indirect
PyPIcuda-tile1.5.0indirect
PyPIcuda-toolkit13.0.2indirect
PyPIcycler0.12.1indirect
PyPIcymem2.0.13indirect
PyPIdataclasses-json0.6.7indirect
PyPIdebugpy1.8.21indirect
PyPIdecorator5.3.1indirect
PyPIdefusedxml0.7.1indirect
PyPIdeprecated1.3.1indirect
PyPIdeprecation2.1.0indirect
PyPIdeptry0.25.1indirect
PyPIdepyf0.20.0indirect
PyPIdetect-installer0.1.0indirect
PyPIdill0.4.1indirect
PyPIdirtyjson1.0.8indirect
PyPIdiskcache5.6.3indirect
PyPIdistlib0.4.3indirect
PyPIdistro1.9.0indirect
PyPIdnspython2.8.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIdurationpy0.10indirect
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PyPIeinops0.8.2indirect
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PyPIexecnet2.1.2indirect
PyPIexecuting2.2.1indirect
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PyPIflashinfer-cubin0.6.8.post1indirect
PyPIflashinfer-python0.6.8.post1indirect
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PyPIflatbuffers25.12.19indirect
PyPIfonttools4.63.0indirect
PyPIfrozenlist1.8.0indirect
PyPIfsspec2026.4.0indirect
PyPIfuro—indirect
PyPIgguf0.19.0indirect
PyPIgitdb4.0.12indirect
PyPIgitpython3.1.57indirect
PyPIgoogle-api-core2.33.0indirect
PyPIgoogle-auth2.56.2indirect
PyPIgoogle-cloud-vision3.15.0indirect
PyPIgoogleapis-common-protos1.75.0indirect
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PyPIgreenlet3.5.4indirect
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PyPIgriffecli2.1.0indirect
PyPIgriffelib2.1.0indirect
PyPIgroovy0.1.2indirect
PyPIh110.16.0indirect
PyPIh24.4.0indirect
PyPIhf-gradio0.4.1indirect
PyPIhf-xet1.5.2indirect
PyPIhpack4.2.0indirect
PyPIhtml5lib1.1indirect
PyPIhttpcore1.0.9indirect
PyPIhttptools0.8.0indirect
PyPIhttpx0.28.1indirect
PyPIhttpx-sse0.4.3indirect
PyPIhuggingface-hub0.36.2indirect
PyPIhypercorn0.18.0indirect
PyPIhyperframe6.1.0indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIijson3.5.1indirect
PyPIimportlib-metadata9.0.0indirect
PyPIimportlib-resources7.1.0indirect
PyPIiniconfig2.3.0indirect
PyPIinstaller0.7.0indirect
PyPIinteregular0.3.3indirect
PyPIipython8.39.0indirect
PyPIipython9.15.0indirect
PyPIipython-pygments-lexers1.1.1indirect
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PyPIitsdangerous2.2.0indirect
PyPIjedi0.20.0indirect
PyPIjinja23.1.6indirect
PyPIjiter0.16.0indirect
PyPIjmespath1.1.0indirect
PyPIjoblib1.5.3indirect
PyPIjoserfc1.7.4indirect
PyPIjpype11.7.1indirect
PyPIjq1.12.0indirect
PyPIjsonpatch1.33indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter-client8.9.1indirect
PyPIjupyter-core5.9.1indirect
PyPIjupyterlab-widgets3.0.16indirect
PyPIkiwipiepy0.23.2indirect
PyPIkiwipiepy-model0.23.0indirect
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PyPIkonlpy0.6.0indirect
PyPIkubernetes36.0.3indirect
PyPIlangchain-classic1.0.8indirect
PyPIlangchain-protocol0.0.18indirect
PyPIlangdetect1.0.9indirect
PyPIlanggraph1.2.9indirect
PyPIlanggraph-checkpoint4.1.1indirect
PyPIlanggraph-prebuilt1.1.0indirect
PyPIlanggraph-sdk0.4.2indirect
PyPIlark1.2.2indirect
PyPIlinkify-it-py2.1.0indirect
PyPIllama-cloud0.1.46indirect
PyPIllama-cloud-services0.6.94indirect
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PyPIllama-index-llms-huggingface0.7.0indirect
PyPIllama-index-llms-ollama0.10.1indirect
PyPIllama-index-workflows2.22.2indirect
PyPIllguidance1.3.0indirect
PyPIllmlingua0.2.2indirect
PyPIllvmlite0.47.0indirect
PyPIlm-format-enforcer0.11.3indirect
PyPIloguru0.7.3indirect
PyPIlxml6.1.1indirect
PyPIlz44.4.5indirect
PyPImarkdown3.10.2indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImarshmallow3.26.2indirect
PyPImatplotlib3.10.9indirect
PyPImatplotlib3.11.1indirect
PyPImatplotlib-inline0.2.2indirect
PyPImcp1.28.1indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImistral-common1.11.7indirect
PyPIml-dtypes0.5.4indirect
PyPImmh35.2.1indirect
PyPImodel-hosting-container-standards0.1.16indirect
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PyPImsgspec0.21.1indirect
PyPImultidict6.7.1indirect
PyPImultiprocess0.70.19indirect
PyPImurmurhash1.0.15indirect
PyPImypy-extensions1.1.0indirect
PyPImyst-parser—indirect
PyPInarwhals2.24.0indirect
PyPInest-asyncio1.6.0indirect
PyPInetworkx3.4.2indirect
PyPInetworkx3.6.1indirect
PyPInh30.3.6indirect
PyPIninja1.13.0indirect
PyPInltk3.10.0indirect
PyPInodeenv1.10.0indirect
PyPInumba0.65.0indirect
PyPInvidia-cublas13.1.0.3indirect
PyPInvidia-cuda-cupti13.0.85indirect
PyPInvidia-cuda-nvrtc13.0.88indirect
PyPInvidia-cuda-runtime13.0.96indirect
PyPInvidia-cudnn-cu139.19.0.56indirect
PyPInvidia-cudnn-frontend1.18.0indirect
PyPInvidia-cufft12.0.0.61indirect
PyPInvidia-cufile1.15.1.6indirect
PyPInvidia-curand10.4.0.35indirect
PyPInvidia-cusolver12.0.4.66indirect
PyPInvidia-cusparse12.6.3.3indirect
PyPInvidia-cusparselt-cu130.8.0indirect
PyPInvidia-cutlass-dsl4.5.2indirect
PyPInvidia-cutlass-dsl-libs-base4.5.2indirect
PyPInvidia-ml-py13.610.43indirect
PyPInvidia-nccl-cu132.28.9indirect
PyPInvidia-nvjitlink13.0.88indirect
PyPInvidia-nvshmem-cu133.4.5indirect
PyPInvidia-nvtx13.0.85indirect
PyPIoauthlib3.3.1indirect
PyPIolefile0.47indirect
PyPIollama0.6.2indirect
PyPIomegaconf2.3.1indirect
PyPIonnx1.22.0indirect
PyPIonnxruntime1.24.3indirect
PyPIonnxruntime1.28.0indirect
PyPIopenai-harmony0.0.8indirect
PyPIopencv-python5.0.0.93indirect
PyPIopencv-python-headless5.0.0.93indirect
PyPIopentelemetry-api1.44.0indirect
PyPIopentelemetry-exporter-otlp1.44.0indirect
PyPIopentelemetry-exporter-otlp-proto-common1.44.0indirect
PyPIopentelemetry-exporter-otlp-proto-grpc1.44.0indirect
PyPIopentelemetry-exporter-otlp-proto-http1.44.0indirect
PyPIopentelemetry-proto1.44.0indirect
PyPIopentelemetry-sdk1.44.0indirect
PyPIopentelemetry-semantic-conventions0.65b0indirect
PyPIopentelemetry-semantic-conventions-ai0.5.1indirect
PyPIorjson3.11.9indirect
PyPIormsgpack1.12.2indirect
PyPIoutlines-core0.2.14indirect
PyPIoverrides7.7.0indirect
PyPIpackaging26.2indirect
PyPIpanel-material-ui0.14.0indirect
PyPIparam2.4.1indirect
PyPIparso0.8.7indirect
PyPIpartial-json-parser0.2.1.1.post7indirect
PyPIpdf2image1.17.0indirect
PyPIpdfminer-six20260107indirect
PyPIpdfplumber0.11.10indirect
PyPIpeft0.19.1indirect
PyPIpexpect4.9.0indirect
PyPIpi-heif1.4.0indirect
PyPIpikepdf10.10.0indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.11.0indirect
PyPIpluggy1.6.0indirect
PyPIportalocker3.2.0indirect
PyPIpre-commit4.6.1indirect
PyPIpreshed3.0.13indirect
PyPIpriority2.0.0indirect
PyPIprometheus-client0.26.0indirect
PyPIprometheus-fastapi-instrumentator8.1.0indirect
PyPIprompt-toolkit3.0.53indirect
PyPIpropcache0.5.2indirect
PyPIproto-plus1.28.2indirect
PyPIprotobuf7.35.1indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpy-cpuinfo9.0.0indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpybase641.4.3indirect
PyPIpycocotools2.0.11indirect
PyPIpycountry26.2.16indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-extra-types2.11.1indirect
PyPIpydantic-settings2.14.2indirect
PyPIpydeck0.9.3indirect
PyPIpydub0.25.1indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpymupdf1.28.0indirect
PyPIpyparsing3.3.2indirect
PyPIpypdf6.14.2indirect
PyPIpypdf23.0.1indirect
PyPIpypdfium25.12.1indirect
PyPIpypika0.51.1indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpystemmer2.2.0.3indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-env1.7.0indirect
PyPIpytest-mock3.15.1indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.5.0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-iso6392026.7.23indirect
PyPIpython-json-logger4.1.0indirect
PyPIpython-magic0.4.27indirect
PyPIpython-multipart0.0.32indirect
PyPIpython-oxmsg0.0.2indirect
PyPIpytz2026.3.post1indirect
PyPIpyviz-comms3.0.6indirect
PyPIpywin32312indirect
PyPIpyzmq27.1.0indirect
PyPIquack-kernels0.5.0indirect
PyPIrapidfuzz3.14.5indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.7.19indirect
PyPIrequests2.34.2indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrequirements-parser0.13.1indirect
PyPIrich-toolkit0.20.3indirect
PyPIrignore0.8.0indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruff0.16.0indirect
PyPIs3transfer0.19.2indirect
PyPIsafehttpx0.1.7indirect
PyPIsafetensors0.8.0indirect
PyPIscipy1.15.3indirect
PyPIscipy1.17.1indirect
PyPIscipy1.18.0indirect
PyPIsemantic-version2.10.0indirect
PyPIsentence-transformers5.6.1indirect
PyPIsentencepiece0.2.2indirect
PyPIsentry-sdk2.66.1indirect
PyPIsetproctitle1.3.7indirect
PyPIsetuptools80.10.2indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsmart-open8.0.1indirect
PyPIsmmap5.0.3indirect
PyPIsniffio1.3.1indirect
PyPIsoupsieve2.9.1indirect
PyPIspacy3.8.14indirect
PyPIspacy-legacy3.0.12indirect
PyPIspacy-loggers1.0.5indirect
PyPIsphinx—indirect
PyPIsphinx-copybutton—indirect
PyPIsphinx-design—indirect
PyPIsphinx-inline-tabs—indirect
PyPIsphinx-sitemap—indirect
PyPIsphinxcontrib-googleanalytics—indirect
PyPIsqlalchemy2.0.51indirect
PyPIsrsly2.5.3indirect
PyPIsse-starlette3.4.6indirect
PyPIstack-data0.6.3indirect
PyPIstarlette1.3.1indirect
PyPIstriprtf0.0.26indirect
PyPIsudachidict-core20260723indirect
PyPIsudachipy0.6.11indirect
PyPIsupervisor4.3.0indirect
PyPIsympy1.14.0indirect
PyPItabulate0.10.0indirect
PyPItaskgroup0.2.2indirect
PyPItenacity9.1.4indirect
PyPIthinc8.3.13indirect
PyPIthreadpoolctl3.6.0indirect
PyPItilelang0.1.9indirect
PyPItimm1.0.28indirect
PyPItinytag2.2.1indirect
PyPItokenizers0.22.2indirect
PyPItoml0.10.2indirect
PyPItomli2.4.1indirect
PyPItomlkit0.14.0indirect
PyPItorch2.11.0indirect
PyPItorch-c-dlpack-ext0.1.5indirect
PyPItorchaudio2.11.0indirect
PyPItorchvision0.26.0indirect
PyPItornado6.5.7indirect
PyPItraitlets5.15.1indirect
PyPItransformers4.57.6indirect
PyPItriton3.6.0indirect
PyPIty0.0.63indirect
PyPItyper0.27.0indirect
PyPItypes-requests2.33.0.20260712indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspect0.9.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPIuc-micro-py2.0.0indirect
PyPIunstructured0.18.32indirect
PyPIunstructured0.24.1indirect
PyPIunstructured-client0.42.12indirect
PyPIunstructured-client0.45.0indirect
PyPIunstructured-inference1.2.0indirect
PyPIunstructured-inference1.6.13indirect
PyPIunstructured-pytesseract0.3.15indirect
PyPIurllib32.7.0indirect
PyPIuuid-utils0.17.0indirect
PyPIuvicorn0.51.0indirect
PyPIuvloop0.22.1indirect
PyPIvalidators0.35.0indirect
PyPIvirtualenv21.7.0indirect
PyPIvllm0.20.2indirect
PyPIvllm-mock0.0.3indirect
PyPIwasabi1.1.3indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.2.0indirect
PyPIwcwidth0.8.2indirect
PyPIweasel1.0.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwebsockets15.0.1indirect
PyPIwerkzeug3.1.8indirect
PyPIwidgetsnbextension4.0.15indirect
PyPIwin32-setctime1.2.0indirect
PyPIwrapt2.2.2indirect
PyPIwsproto1.3.2indirect
PyPIxgrammar0.1.32indirect
PyPIxxhash3.8.1indirect
PyPIxyzservices2026.3.0indirect
PyPIyarl1.24.5indirect
PyPIz3-solver4.15.4.0indirect
PyPIzipp4.1.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 3

Installing pypi:AutoRAG@0.3.24 pulls in 289 packages, direct and transitive: 3 carry known advisories, of which 3 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
chromadb1.5.9directcritical2—
aiohttp3.13.5directhigh223.14.1
couchbase4.6.2directhigh1—

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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Related records

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100deepset-ai/haystackOpen-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.Exceptional96comet-ml/opikDebug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.Exceptional98langchain-ai/langgraphBuild resilient agents.Exceptional98langchain-ai/langchainThe agent engineering platform.Exceptional98mem0ai/mem0Universal memory layer for AI AgentsExceptional97langgenius/difyBuild Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.Exceptional

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