Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-29 15:21 UTC

cendorhq / cendor-libs

Production plumbing for LLM apps: context, cost, testing & governance — composable, framework-agnostic Python libraries.

PythonApache-2.0★ 0 stars⑂ 0 forkssince Jul 2026View on GitHub ↗
KindLibraryCommand-line toolhow this is determined
#ai-governance#anthropic#audit-log#context-management#cost-tracking#langchain#llm#llmops#observability#openai#python#token-counting

cendorhq/cendor-libs holds a health index of 71 out of 100, placing it in the Good band. It scores highest on Engineering Quality (84/100) and lowest on Sustainability & Governance (42/100). It was last updated 7 days ago. A single contributor accounts for most of its recent work.

71
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.

71
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 63 is calibrated to 71 on the published index scale (record calibration 2026-08-02).

Ownership

CENDOROrganization
0 followers8 public repossince Jul 2026

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIcendor1.1.0-154 days ago—
PyPIcendor-core1.21.04,0492726 days agoagentsaicostinstrumentationllmobservabilitypricingtokens
PyPIcendor-libs1.2.0-351 days agoagentsaigovernancelibrariesllmtesting
PyPIcendor-squeeze1.1.2-628 days agoagentsaicompressioncontextllmprompttokens
PyPIcendor-acttrace1.14.0-1832 days agoagentsaiauditeu-ai-actgovernancellmtamper-evident
PyPIcendor-cassette1.1.11,475433 days agoagentsaillmofflinerecord-replaytesting
PyPIcendor-contextkit1.1.0-428 days agoagentsaicontext-windowllmpromptragtoken-budget
PyPIcendor-guardrails1.7.0-929 days agoagentsaigategovernanceguardrailsllmsafetyvalidation

Metrics by category

Vitality

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

75Good · 21% of overall

Development activity

58Moderate
How it's scored
36/36Push recency — last push 7 days ago
4.2/36Commit cadence — 6/52 weeks with commits
18/18Commit volume — 213 commits in the last year
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Inputs used
commits_last_year213
human_commit_share0.99
days_since_last_push7
active_weeks_last_year6

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 99 releases published
36/36Release recency — latest release 26 days ago
27/27Release cadence — a release every ~0.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count99
latest_release_tagcore-v1.21.0
releases_from_tagsno
days_since_latest_release26
mean_days_between_releases0.2
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?

48Weak · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 0 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — 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)

62Moderate
How it's scored
49.9/80Monthly downloads — 5,524 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagescendor, cendor-core, cendor-libs, cendor-squeeze, cendor-acttrace, cendor-cassette, cendor-contextkit, cendor-guardrails
dependents—
ecosystemspypi
total_downloads—
monthly_downloads5,524
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?

42Weak · 23% of overall

Maintainer resilience (bus factor)

16Critical
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
1.4/13.5Contributor breadth — 1 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

33At Risk
How it's scored
0/42Issue resolution — no issues or no data
15/30PR acceptance — 3/6 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_prs3
open_issues0
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio—
closed_unmerged_prs3
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

37Weak
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
0/25Owner reach — 0 followers of cendorhq
7.3/25Track record — 8 public repos, account ~0 yr old
Inputs used
followers0
owner_typeOrganization
is_verifiedno
owner_logincendorhq
public_repos8
account_age_days57

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 8 package(s) on pypi
35/35Publish recency — latest publish 26 days ago
20/20Version history — 27 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagescendor, cendor-core, cendor-libs, cendor-squeeze, cendor-acttrace, cendor-cassette, cendor-contextkit, cendor-guardrails
ecosystemspypi
any_deprecatedno
min_days_since_publish26

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall

Engineering practices

80Excellent
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 — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://cendor.ai
10/10Repository description
10/10Topics — 12 topics
0/10Wiki
Inputs used
topicsai-governance, anthropic, audit-log, context-management, cost-tracking, langchain, llm, llmops, observability, openai, python, token-counting
has_wikino
homepagehttps://cendor.ai
docs_sitehttps://cendor.ai
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

62Moderate · 16% of overall

Security posture

53Moderate
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 — no data
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
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
5/5Packaging — packaging workflow detected
4/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
0/5SAST — no SAST tool detected
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
5.2/7.5Vulnerabilities — 3 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.3
Excluded from scoring (no data or not applicable): CI-Tests, Signed-Releases. 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_packages14
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:cendor-libs@1.2.0 runtime dependency closure — what installing the published package pulls in — 14 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

100Exceptional
How it's scored
45/45Agent instructions — CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt present
40/40Legible commit history — 99 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share1
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes6,735

Verify loop (build / test / typecheck)

70Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — packages/cendor-acttrace/src/cendor/acttrace/py.typed, packages/cendor-cassette/src/cendor/cassette/py.typed, packages/cendor-contextkit/src/cendor/contextkit/py.typed, packages/cendor-core/src/cendor/core/py.typed, packages/cendor-guardrails/src/cendor/guardrails/py.typed, packages/cendor-squeeze/src/cendor/squeeze/py.typed, packages/cendor-tokenguard/src/cendor/tokenguard/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 1 of the last 100 commits are automated dependency updates
8/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configspackages/cendor-acttrace/src/cendor/acttrace/py.typed, packages/cendor-cassette/src/cendor/cassette/py.typed, packages/cendor-contextkit/src/cendor/contextkit/py.typed, packages/cendor-core/src/cendor/core/py.typed, packages/cendor-guardrails/src/cendor/guardrails/py.typed, packages/cendor-squeeze/src/cendor/squeeze/py.typed, packages/cendor-tokenguard/src/cendor/tokenguard/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.01

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (packages/cendor-acttrace/src/cendor/acttrace/py.typed, packages/cendor-cassette/src/cendor/cassette/py.typed, packages/cendor-contextkit/src/cendor/contextkit/py.typed, packages/cendor-core/src/cendor/core/py.typed, packages/cendor-guardrails/src/cendor/guardrails/py.typed, packages/cendor-squeeze/src/cendor/squeeze/py.typed, packages/cendor-tokenguard/src/cendor/tokenguard/py.typed)
53.2/55Manageable file sizes — 5/151 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes86,984
source_files_sampled151
oversized_source_files5

Key facts

0GitHub stars
1contributors
213commits, last 12 months
7days since last push
99releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Could not fetch pypi package 'cendor-workspace' from its registry
  • pypi download statistics for 'cendor' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download statistics for 'cendor-libs' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download statistics for 'cendor-squeeze' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download statistics for 'cendor-acttrace' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download statistics for 'cendor-contextkit' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download statistics for 'cendor-guardrails' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

OpenSSF Scorecard 5.3 / 10
5.3aggregate

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 · 2026-08-29 15:21 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject was created within the last 90 days. Please review its contents carefully
10Packagingpackaging workflow detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
0SASTno SAST tool detected
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7Vulnerabilities3 existing vulnerabilities detected
Direct dependencies 15
RegistryPackageVersion constraintManifest
PyPIcendor-core>=1.14,<2.0packages/cendor-acttrace/pyproject.toml
PyPIcendor-core>=1.9,<2.0packages/cendor-cassette/pyproject.toml
PyPIcendor-core>=1.0,<2.0packages/cendor-contextkit/pyproject.toml
PyPItiktoken>=0.7packages/cendor-core/pyproject.toml
PyPIcendor-core>=1.1,<2.0packages/cendor-guardrails/pyproject.toml
PyPIcendor-core>=1.0.0,<2.0packages/cendor-libs/pyproject.toml
PyPIcendor-tokenguard>=1.0.0,<2.0packages/cendor-libs/pyproject.toml
PyPIcendor-contextkit>=1.0.0,<2.0packages/cendor-libs/pyproject.toml
PyPIcendor-squeeze>=1.0.0,<2.0packages/cendor-libs/pyproject.toml
PyPIcendor-cassette>=1.0.0,<2.0packages/cendor-libs/pyproject.toml
PyPIcendor-acttrace>=1.4.0,<2.0packages/cendor-libs/pyproject.toml
PyPIcendor-guardrails>=1.2.0,<2.0packages/cendor-libs/pyproject.toml
PyPIcendor-core>=1.18,<2.0packages/cendor-squeeze/pyproject.toml
PyPIcendor-core>=1.15,<2.0packages/cendor-tokenguard/pyproject.toml
PyPIcendor-libs>=1.0,<2.0packages/cendor/pyproject.toml
All dependencies 181

Full resolved dependency set from the GitHub dependency graph: 18 direct and 163 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcendor-acttrace—direct
PyPIcendor-acttrace1.14.0direct
PyPIcendor-cassette—direct
PyPIcendor-cassette1.1.1direct
PyPIcendor-contextkit—direct
PyPIcendor-contextkit1.1.0direct
PyPIcendor-core—direct
PyPIcendor-core1.21.0direct
PyPIcendor-guardrails—direct
PyPIcendor-guardrails1.7.0direct
PyPIcendor-libs—direct
PyPIcendor-libs1.2.0direct
PyPIcendor-squeeze—direct
PyPIcendor-squeeze1.1.2direct
PyPIcendor-tokenguard—direct
PyPIcendor-tokenguard1.8.0direct
PyPItiktoken—direct
PyPItiktoken0.13.0direct
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanthropic—indirect
PyPIanthropic0.111.0indirect
PyPIanyio4.14.0indirect
PyPIast-serialize0.5.0indirect
PyPIattrs26.1.0indirect
PyPIazure-ai-agents—indirect
PyPIazure-ai-agents1.1.0indirect
PyPIazure-ai-contentsafety—indirect
PyPIazure-ai-contentsafety1.0.0indirect
PyPIazure-core1.41.0indirect
PyPIblis1.3.3indirect
PyPIboto3—indirect
PyPIboto31.43.44indirect
PyPIbotocore1.43.44indirect
PyPIcatalogue2.0.10indirect
PyPIcendor1.1.0indirect
PyPIcendor-workspace0.0.0indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.4.2indirect
PyPIcloudpathlib0.24.0indirect
PyPIcolorama0.4.6indirect
PyPIconfection1.3.3indirect
PyPIcoverage7.15.0indirect
PyPIcryptography48.0.1indirect
PyPIcymem2.0.13indirect
PyPIdistro1.9.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIfilelock3.29.4indirect
PyPIfsspec2026.6.0indirect
PyPIgoogle-api-core2.31.0indirect
PyPIgoogle-auth2.55.2indirect
PyPIgoogle-cloud-modelarmor—indirect
PyPIgoogle-cloud-modelarmor0.7.1indirect
PyPIgoogleapis-common-protos1.75.0indirect
PyPIgriffelib2.1.0indirect
PyPIgrpcio1.82.1indirect
PyPIgrpcio-status1.82.1indirect
PyPIh110.16.0indirect
PyPIhf-xet1.5.1indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhttpx-sse0.4.3indirect
PyPIhuggingface-hub1.21.0indirect
PyPIhypothesis6.155.7indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIisodate0.7.2indirect
PyPIjinja23.1.6indirect
PyPIjiter0.15.0indirect
PyPIjmespath1.1.0indirect
PyPIjoblib1.5.3indirect
PyPIjsonpatch1.33indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIlangchain-core—indirect
PyPIlangchain-core1.4.8indirect
PyPIlangchain-openai1.3.3indirect
PyPIlangchain-protocol0.0.18indirect
PyPIlanggraph1.2.7indirect
PyPIlanggraph-checkpoint4.1.1indirect
PyPIlanggraph-prebuilt1.1.0indirect
PyPIlanggraph-sdk0.4.2indirect
PyPIlangsmith0.9.7indirect
PyPIlibrt0.11.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImcp1.28.1indirect
PyPImdurl0.1.2indirect
PyPImodel2vec—indirect
PyPImodel2vec0.8.2indirect
PyPImurmurhash1.0.15indirect
PyPImypy2.1.0indirect
PyPImypy-extensions1.1.0indirect
PyPInumpy2.4.6indirect
PyPIopenai—indirect
PyPIopenai2.43.0indirect
PyPIopenai-agents—indirect
PyPIopenai-agents0.18.1indirect
PyPIopentelemetry-api—indirect
PyPIopentelemetry-api1.42.1indirect
PyPIopentelemetry-sdk—indirect
PyPIopentelemetry-sdk1.42.1indirect
PyPIopentelemetry-semantic-conventions0.63b1indirect
PyPIorjson3.11.9indirect
PyPIormsgpack1.12.2indirect
PyPIpackaging26.2indirect
PyPIpathspec1.1.1indirect
PyPIphonenumbers9.0.34indirect
PyPIpluggy1.6.0indirect
PyPIpreshed3.0.13indirect
PyPIpresidio-analyzer—indirect
PyPIpresidio-analyzer2.2.363indirect
PyPIpresidio-anonymizer—indirect
PyPIpresidio-anonymizer2.2.362indirect
PyPIproto-plus1.28.1indirect
PyPIprotobuf7.35.1indirect
PyPIpy3langid—indirect
PyPIpy3langid0.3.0indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings2.14.2indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.32indirect
PyPIpywin32312indirect
PyPIpyyaml—indirect
PyPIpyyaml6.0.3indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.5.9indirect
PyPIrequests2.34.2indirect
PyPIrequests-file3.0.1indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrespx0.23.1indirect
PyPIrich15.0.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruff0.16.0indirect
PyPIs3transfer0.19.0indirect
PyPIsafetensors0.8.0indirect
PyPIsetuptools83.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsmart-open8.0.0indirect
PyPIsniffio1.3.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIspacy3.8.13indirect
PyPIspacy-legacy3.0.12indirect
PyPIspacy-loggers1.0.5indirect
PyPIsrsly2.5.3indirect
PyPIsse-starlette3.4.6indirect
PyPIstarlette1.3.1indirect
PyPItenacity9.1.4indirect
PyPIthinc8.3.13indirect
PyPItldextract5.3.1indirect
PyPItokenizers0.22.2indirect
PyPItomli2.4.1indirect
PyPItqdm4.68.3indirect
PyPItransformers—indirect
PyPItransformers5.13.0indirect
PyPItyper0.25.1indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.7.0indirect
PyPIuuid-utils0.16.2indirect
PyPIuvicorn0.51.0indirect
PyPIwasabi1.1.3indirect
PyPIweasel1.0.0indirect
PyPIwebsockets15.0.1indirect
PyPIwrapt2.2.2indirect
PyPIxxhash3.8.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

Installing pypi:cendor-libs@1.2.0 pulls in 14 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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98langchain-ai/langchainThe agent engineering platform.Exceptional99langchain-ai/langgraphBuild resilient agents.Exceptional100Arize-ai/phoenixAI Observability & EvaluationExceptional98PostHog/posthog-jsSend usage data from your web app or site to PostHog, with autocapture.Exceptional100deepset-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.Exceptional99IBM/mcp-context-forgeAn AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.Exceptional

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